US20140181038A1 - Systems and methods to categorize unprotected virtual machines - Google Patents
Systems and methods to categorize unprotected virtual machines Download PDFInfo
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- US20140181038A1 US20140181038A1 US13/930,918 US201313930918A US2014181038A1 US 20140181038 A1 US20140181038 A1 US 20140181038A1 US 201313930918 A US201313930918 A US 201313930918A US 2014181038 A1 US2014181038 A1 US 2014181038A1
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- G06F17/30091—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/13—File access structures, e.g. distributed indices
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
- G06F11/1448—Management of the data involved in backup or backup restore
- G06F11/1451—Management of the data involved in backup or backup restore by selection of backup contents
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
- G06F11/1458—Management of the backup or restore process
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1479—Generic software techniques for error detection or fault masking
- G06F11/1482—Generic software techniques for error detection or fault masking by means of middleware or OS functionality
- G06F11/1484—Generic software techniques for error detection or fault masking by means of middleware or OS functionality involving virtual machines
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
- G06F11/1458—Management of the backup or restore process
- G06F11/1461—Backup scheduling policy
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- G—PHYSICS
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- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
- G06F11/1458—Management of the backup or restore process
- G06F11/1464—Management of the backup or restore process for networked environments
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- G06F2201/815—Virtual
Definitions
- a company might back up critical computing systems such as databases, file servers, web servers, and so on as part of a daily, weekly, or monthly maintenance schedule.
- the company may similarly protect computing systems used by each of its employees, such as those used by an accounting department, marketing department, engineering department, and so forth.
- virtualization in the computing arts can refer to the creation of a virtual instance of an entity (e.g., a hardware platform, operating system, storage device or network resource, etc.) that behaves like a physical instance.
- a virtual machine can be a software representation of a physical machine.
- server virtualization is compelling and are driving the transition to large scale virtual server deployments. From the cost savings recognized through server consolidation or business flexibility and agility inherent in cloud architectures, virtualization technologies are being rapidly deployed.
- Virtual machines are easy to create. They can pop up over night with no warning and little communication with network administrators. Network administrators should know how many virtual machines are running on their network, which physical machines are hosting them, where their storage is located, what software is associated with them, why they were originally created, and who created them. But often they do not. This leads to virtual machines with no designated periodic backup or, in other words, unprotected virtual machines. If the data associated with these unprotected virtual machines is not backed up, it cannot be restored if needed, leading to system failures.
- Virtual machines have the same support, security, and compliance issues as physical machines.
- Traditional backup tools require manual intervention to configure a backup schedule and policy for each newly created virtual machine. Not only is this process time consuming in terms of manual configuration, but also requires time to determine where each virtual machine came from, and then determine to most appropriate backup schedule to apply to each virtual machine. Virtualization sprawl occurs when the number of virtual machines on a network reaches a point where the administrator can no longer manage them effectively.
- Certain embodiments relate to a method to categorize unprotected virtual machines in a data management system.
- the method comprises automatically identifying with one or more computer processors one or more virtual machines not associated with a backup policy in a data management system, automatically retrieving with one or more computer processors backup characteristics of each virtual machine not associated with a backup policy, automatically retrieving with one or more computer processors one or more categories, each category associated with criteria and a backup policy, automatically comparing with one or more computer processors the backup characteristics of each virtual machine not associated with a backup policy with the criteria associated with each category, and when the backup characteristics of the virtual machine match the criteria associated with the category, automatically applying with one or more computer processors the associated backup policy to the virtual machine.
- a system to categorize unprotected virtual machines in an information management cell comprises computer hardware including one or more computer processors, and computer-readable storage comprising computer-readable instructions that, when executed by the one or more processors, cause the computer hardware to perform operations defined by the computer-readable instructions.
- the computer-readable instructions are configured to automatically identify one or more virtual machines not associated with a backup policy in an information management cell, automatically retrieve backup characteristics of each virtual machine not associated with a backup policy, automatically retrieve one or more categories, each category associated with criteria and a backup policy, automatically compare the backup characteristics of each virtual machine not associated with a backup policy with the criteria associated with each category, and when the backup characteristics of the virtual machine match the criteria associated with the category, automatically apply the associated backup policy to the virtual machine.
- FIG. 1A is a block diagram illustrating an exemplary information management system.
- FIG. 1B is a detailed view of a primary storage device, a secondary storage device, and some examples of primary data and secondary copy data.
- FIG. 1C is a block diagram of an exemplary information management system including a storage manager, one or more data agents, and one or more media agents.
- FIG. 1D is a block diagram illustrating a scalable information management system.
- FIG. 1E illustrates certain secondary copy operations according to an exemplary storage policy.
- FIG. 2 is a block diagram illustrating another exemplary information management cell.
- FIG. 3 illustrates a flow chart of an exemplary embodiment of a process to identify virtual machine backup policies usable by the system of FIG. 2 .
- FIG. 4 illustrates a flow chart of an exemplary embodiment of a process to automatically categorize unprotected virtual machines usable by the system of FIG. 2 .
- FIG. 5 is an exemplary screen shot of available auto-discovery rules usable by the system of FIG. 2 .
- FIG. 6 illustrates a flow chart of an exemplary embodiment of a process to identify an unprotected category of virtual machines usable by the system of FIG. 2 .
- FIG. 7 illustrates a flow chart of an exemplary embodiment of a process to protect unprotected virtual machines usable by the system of FIG. 2 .
- Systems and methods are described herein to automatically discover and protect unprotected virtual machines. Further examples of systems and methods for 1) identifying virtual machine backup policies; 2) automatically categorizing unprotected virtual machines; 3) identifying uncategorized virtual machines as unprotected; and 4) protecting unprotected virtual machines are described below with respect to FIGS. 2-7 .
- FIG. 1A shows one such information management system 100 , which generally includes combinations of hardware and software configured to protect and manage data and metadata generated and used by the various computing devices in the information management system 100 .
- the organization which employs the information management system 100 may be a corporation or other business entity, non-profit organization, educational institution, household, governmental agency, or the like.
- systems and associated components described herein may be compatible with and/or provide some or all of the functionality of the systems and corresponding components described in one or more of the following U.S. patents and patent application publications assigned to CommVault Systems, Inc., each of which is hereby incorporated in its entirety by reference herein:
- the illustrated information management system 100 includes one or more client computing device 102 having at least one application 110 executing thereon, and one or more primary storage devices 104 storing primary data 112 .
- the client computing device(s) 102 and the primary storage devices 104 may generally be referred to in some cases as a primary storage subsystem 117 .
- information management system can refer to generally all of the illustrated hardware and software components. Or, in other instances, the term may refer to only a subset of the illustrated components.
- information management system 100 generally refers to a combination of specialized components used to protect, move, manage, manipulate and/or process data and metadata generated by the client computing devices 102 .
- the term may generally not refer to the underlying components that generate and/or store the primary data 112 , such as the client computing devices 102 themselves, the applications 110 and operating system residing on the client computing devices 102 , and the primary storage devices 104 .
- information management system may sometimes refer only to one or more of the following components and corresponding data structures: storage managers, data agents, and media agents. These components will be described in further detail below.
- the data generation sources include the one or more client computing devices 102 .
- the client computing devices 102 may include, without limitation, one or more: workstations, personal computers, desktop computers, or other types of generally fixed computing systems such as mainframe computers and minicomputers.
- the client computing devices 102 can also include mobile or portable computing devices, such as one or more laptops, tablet computers, personal data assistants, mobile phones (such as smartphones), and other mobile or portable computing devices such as embedded computers, set top boxes, vehicle-mounted devices, wearable computers, etc.
- mobile or portable computing devices such as one or more laptops, tablet computers, personal data assistants, mobile phones (such as smartphones), and other mobile or portable computing devices such as embedded computers, set top boxes, vehicle-mounted devices, wearable computers, etc.
- each client computing device 102 is associated with one or more users and/or corresponding user accounts, of employees or other individuals.
- client computing device is used herein because the information management system 100 generally “serves” the data management and protection needs for the data generated by the client computing devices 102 .
- the use of this term does not imply that the client computing devices 102 cannot be “servers” in other respects.
- a particular client computing device 102 may act as a server with respect to other devices, such as other client computing devices 102 .
- the client computing devices 102 can include mail servers, file servers, database servers, and web servers.
- the client computing devices 102 may additionally include virtualized and/or cloud computing resources. For instance, one or more virtual machines may be provided to the organization by a third-party cloud service vendor. Or, in some embodiments, the client computing devices 102 include one or more virtual machine(s) running on a virtual machine host computing device operated by the organization. As one example, the organization may use one virtual machine as a database server and another virtual machine as a mail server. A virtual machine manager (VMM) (e.g., a Hypervisor) may manage the virtual machines, and reside and execute on the virtual machine host computing device.
- VMM virtual machine manager
- Each client computing device 102 may have one or more applications 110 (e.g., software applications) executing thereon which generate and manipulate the data that is to be protected from loss.
- applications 110 e.g., software applications
- the applications 110 generally facilitate the operations of an organization (or multiple affiliated organizations), and can include, without limitation, mail server applications (e.g., Microsoft Exchange Server), file server applications, mail client applications (e.g., Microsoft Exchange Client), database applications (e.g., SQL, Oracle, SAP, Lotus Notes Database), word processing applications (e.g., Microsoft Word), spreadsheet applications, financial applications, presentation applications, browser applications, mobile applications, entertainment applications, and so on.
- mail server applications e.g., Microsoft Exchange Server
- file server applications e.g., Microsoft Exchange Client
- mail client applications e.g., Microsoft Exchange Client
- database applications e.g., SQL, Oracle, SAP, Lotus Notes Database
- word processing applications e.g., Microsoft Word
- spreadsheet applications e.g., financial applications, presentation applications, browser applications, mobile applications, entertainment applications, and so on.
- the applications 110 can include at least one operating system (e.g., Microsoft Windows, Mac OS X, iOS, IBM z/OS, Linux, other Unix-based operating systems, etc.), which may support one or more file systems and host the other applications 110 .
- operating system e.g., Microsoft Windows, Mac OS X, iOS, IBM z/OS, Linux, other Unix-based operating systems, etc.
- the client computing devices 102 and other components in the information management system 100 can be connected to one another via one or more communication pathways 114 .
- the communication pathways 114 can include one or more networks or other connection types including as any of following, without limitation: the Internet, a wide area network (WAN), a local area network (LAN), a Storage Area Network (SAN), a Fibre Channel connection, a Small Computer System Interface (SCSI) connection, a virtual private network (VPN), a token ring or TCP/IP based network, an intranet network, a point-to-point link, a cellular network, a wireless data transmission system, a two-way cable system, an interactive kiosk network, a satellite network, a broadband network, a baseband network, other appropriate wired, wireless, or partially wired/wireless computer or telecommunications networks, combinations of the same or the like.
- the communication pathways 114 in some cases may also include application programming interfaces (APIs) including, e.g., cloud service provider APIs, virtual machine management APIs,
- Primary data 112 is production data or other “live” data generated by the operating system and other applications 110 residing on a client computing device 102 .
- the primary data 112 is stored on the primary storage device(s) 104 and is organized via a file system supported by the client computing device 102 .
- the client computing device(s) 102 and corresponding applications 110 may create, access, modify, write, delete, and otherwise use primary data 112 .
- Primary data 112 is generally in the native format of the source application 110 . According to certain aspects, primary data 112 is an initial or first (e.g., created before any other copies or before at least one other copy) stored copy of data generated by the source application 110 . Primary data 112 in some cases is created substantially directly from data generated by the corresponding source applications 110 .
- the primary data 112 may sometimes be referred to as a “primary copy” in the sense that it is a discrete set of data. However, the use of this term does not necessarily imply that the “primary copy” is a copy in the sense that it was copied or otherwise derived from another stored version.
- the primary storage devices 104 storing the primary data 112 may be relatively fast and/or expensive (e.g., a disk drive, a hard-disk array, solid state memory, etc.). In addition, primary data 112 may be intended for relatively short term retention (e.g., several hours, days, or weeks).
- the client computing device 102 can access primary data 112 from the primary storage device 104 by making conventional file system calls via the operating system.
- Primary data 112 representing files may include structured data (e.g., database files), unstructured data (e.g., documents), and/or semi-structured data. Some specific examples are described below with respect to FIG. 1B .
- primary data 112 can include files, directories, file system volumes, data blocks, extents, or any other types or granularities of data objects.
- a “data object” can refer to both (1) any file that is currently addressable by a file system or that was previously addressable by the file system (e.g., an archive file) and (2) a subset of such a file.
- Metadata generally includes information about data objects or characteristics associated with the data objects.
- Metadata can include, without limitation, one or more of the following: the data owner (e.g., the client or user that generates the data), the last modified time (e.g., the time of the most recent modification of the data object), a data object name (e.g., a file name), a data object size (e.g., a number of bytes of data), information about the content (e.g., an indication as to the existence of a particular search term), to/from information for email (e.g., an email sender, recipient, etc.), creation date, file type (e.g., format or application type), last accessed time, application type (e.g., type of application that generated the data object), location/network (e.g., a current, past or future location of the data object and network pathways to/from the data object), frequency of change (e.g., a period in which the data object is modified), business unit (e.g., a group or department that generates, manages or is otherwise associated with the data object
- some of the applications 110 maintain indices of metadata for data objects, e.g., metadata associated with individual email messages. Thus, each data object may be associated with corresponding metadata.
- metadata e.g., metadata associated with individual email messages.
- each data object may be associated with corresponding metadata.
- Each of the client computing devices 102 are associated with and/or in communication with one or more of the primary storage devices 104 storing corresponding primary data 112 .
- a client computing device 102 may be considered to be “associated with” or “in communication with” a primary storage device 104 if it is capable of one or more of: storing data to the primary storage device 104 , retrieving data from the primary storage device 104 , and modifying data retrieved from a primary storage device 104 .
- the primary storage devices 104 can include, without limitation, disk drives, hard-disk arrays, semiconductor memory (e.g., solid state drives), and network attached storage (NAS) devices. In some cases, the primary storage devices 104 form part of a distributed file system. The primary storage devices 104 may have relatively fast I/O times and/or are relatively expensive in comparison to the secondary storage devices 108 . For example, the information management system 100 may generally regularly access data and metadata stored on primary storage devices 104 , whereas data and metadata stored on the secondary storage devices 108 is accessed relatively less frequently.
- each primary storage device 104 is dedicated to an associated client computing devices 102 .
- a primary storage device 104 in one embodiment is a local disk drive of a corresponding client computing device 102 .
- one or more primary storage devices 104 can be shared by multiple client computing devices 102 .
- a primary storage device 104 can be a disk array shared by a group of client computing devices 102 , such as one of the following types of disk arrays: EMC Clariion, EMC Symmetrix, EMC Celerra, Dell EqualLogic, IBM XIV, NetApp FAS, HP EVA, and HP 3PAR.
- the information management system 100 may also include hosted services (not shown), which may be hosted in some cases by an entity other than the organization that employs the other components of the information management system 100 .
- hosted services may be provided by various online service providers to the organization.
- service providers can provide services including social networking services, hosted email services, or hosted productivity applications or other hosted applications).
- Hosted services may include software-as-a-service (SaaS), platform-as-a-service (PaaS), application service providers (ASPs), cloud services, or other mechanisms for delivering functionality via a network.
- SaaS software-as-a-service
- PaaS platform-as-a-service
- ASPs application service providers
- cloud services or other mechanisms for delivering functionality via a network.
- each hosted service may generate additional data and metadata under management of the information management system 100 , e.g., as primary data 112 .
- the hosted services may be accessed using one of the applications 110 .
- a hosted mail service may be accessed via browser running on a client computing device 102 .
- the primary data 112 stored on the primary storage devices 104 may be compromised in some cases, such as when an employee deliberately or accidentally deletes or overwrites primary data 112 during their normal course of work. Or the primary storage devices 104 can be damaged or otherwise corrupted.
- the information management system 100 includes one or more secondary storage computing devices 106 and one or more secondary storage devices 108 configured to create and store one or more secondary copies 116 of the primary data 112 and associated metadata.
- the secondary storage computing devices 106 and the secondary storage devices 108 may be referred to in some cases as a secondary storage subsystem 118 .
- Creation of secondary copies 116 can help meet information management goals, such as: restoring data and/or metadata if an original version (e.g., of primary data 112 ) is lost (e.g., by deletion, corruption, or disaster); allowing point-in-time recovery; complying with regulatory data retention and electronic discovery (e-discovery) requirements; reducing utilized storage capacity; facilitating organization and search of data; improving user access to data files across multiple computing devices and/or hosted services; and implementing data retention policies.
- an original version e.g., of primary data 112
- e-discovery electronic discovery
- Types of secondary copy operations can include, without limitation, backup operations, archive operations, snapshot operations, replication operations (e.g., continuous data replication [CDR]), data retention policies such as or information lifecycle management and hierarchical storage management operations, and the like. These specific types operations are discussed in greater detail below.
- backup operations e.g., archive operations, snapshot operations, replication operations (e.g., continuous data replication [CDR]), data retention policies such as or information lifecycle management and hierarchical storage management operations, and the like.
- CDR continuous data replication
- the client computing devices 102 access or receive primary data 112 and communicate the data, e.g., over the communication pathways 114 , for storage in the secondary storage device(s) 108 .
- a secondary copy 116 can comprise a separate stored copy of application data that is derived from one or more earlier created, stored copies (e.g., derived from primary data 112 or another secondary copy 116 ). Secondary copies 116 can include point-in-time data, and may be intended for relatively long-term retention (e.g., weeks, months or years), before some or all of the data is moved to other storage or is discarded.
- a secondary copy 116 is a copy of application data created and stored subsequent to at least one other stored instance (e.g., subsequent to corresponding primary data 112 or to another secondary copy 116 ), in a different storage device than at least one previous stored copy, and/or remotely from at least one previous stored copy. Secondary copies 116 may be stored in relatively slow and/or low cost storage (e.g., magnetic tape). A secondary copy 116 may be stored in a backup or archive format, or in some other format different than the native source application format or other primary data format.
- secondary copies 116 are indexed so users can browse and restore at another point in time.
- a pointer or other location indicia e.g., a stub
- the information management system 100 may create and manage multiple secondary copies 116 of a particular data object or metadata, each representing the state of the data object in primary data 112 at a particular point in time. Moreover, since an instance of a data object in primary data 112 may eventually be deleted from the primary storage device 104 and the file system, the information management system 100 may continue to manage point-in-time representations of that data object, even though the instance in primary data 112 no longer exists.
- the operating system and other applications 110 of the client computing device(s) 102 may execute within or under the management of virtualization software (e.g., a VMM), and the primary storage device(s) 104 may comprise a virtual disk created on a physical storage device.
- the information management system 100 may create secondary copies 116 of the files or other data objects in a virtual disk file and/or secondary copies 116 of the entire virtual disk file itself (e.g., of an entire .vmdk file).
- Secondary copies 116 may be distinguished from corresponding primary data 112 in a variety of ways, some of which will now be described. First, as discussed, secondary copies 116 can be stored in a different format (e.g., backup, archive, or other non-native format) than primary data 112 . For this or other reasons, secondary copies 116 may not be directly useable by the applications 110 of the client computing device 102 , e.g., via standard system calls or otherwise without modification, processing, or other intervention by the information management system 100 .
- a different format e.g., backup, archive, or other non-native format
- Secondary copies 116 are also often stored on a secondary storage device 108 that is inaccessible to the applications 110 running on the client computing devices 102 (and/or hosted services). Some secondary copies 116 may be “offline copies,” in that they are not readily available (e.g. not mounted to tape or disk). Offline copies can include copies of data that the information management system 100 can access without human intervention (e.g. tapes within an automated tape library, but not yet mounted in a drive), and copies that the information management system 100 can access only with at least some human intervention (e.g. tapes located at an offsite storage site).
- the secondary storage devices 108 can include any suitable type of storage device such as, without limitation, one or more tape libraries, disk drives or other magnetic, non-tape storage devices, optical media storage devices, solid state storage devices, NAS devices, combinations of the same, and the like.
- the secondary storage devices 108 are provided in a cloud (e.g. a private cloud or one operated by a third-party vendor).
- the secondary storage device(s) 108 in some cases comprises a disk array or a portion thereof.
- a single storage device e.g., a disk array
- a disk array capable of performing hardware snapshots stores primary data 112 and creates and stores hardware snapshots of the primary data 112 as secondary copies 116 .
- Secondary copies can be a challenging task. For instance, there can be hundreds or thousands of client computing devices 102 continually generating large volumes of primary data 112 to be protected. Also, there can be significant overhead involved in the creation of secondary copies 116 . Moreover, secondary storage devices 108 may be special purpose components, and interacting with them can require specialized intelligence.
- the client computing devices 102 interact directly with the secondary storage device 108 to create the secondary copies 116 .
- this approach can negatively impact the ability of the client computing devices 102 to serve the applications 110 and produce primary data 112 .
- the client computing devices 102 may not be optimized for interaction with the secondary storage devices 108 .
- the information management system 100 includes one or more software and/or hardware components which generally act as intermediaries between the client computing devices 102 and the secondary storage devices 108 .
- these intermediary components can provide other benefits. For instance, as discussed further below with respect to FIG. 1D , distributing some of the work involved in creating secondary copies 116 can enhance scalability.
- the intermediary components can include one or more secondary storage computing devices 106 as shown in FIG. 1A and/or one or more media agents, which can be software modules residing on corresponding secondary storage computing devices 106 (or other appropriate devices). Media agents are discussed below (e.g., with respect to FIGS. 1C-1E ).
- the secondary storage computing device(s) 106 can comprise any appropriate type of computing device and can include, without limitation, any of the types of fixed and portable computing devices described above with respect to the client computing devices 102 . In some cases, the secondary storage computing device(s) 106 include specialized hardware and/or software componentry for interacting with the secondary storage devices 108 .
- the client computing device 102 communicates the primary data 112 to be copied (or a processed version thereof) to the designated secondary storage computing device 106 , via the communication pathway 114 .
- the secondary storage computing device 106 in turn conveys the received data (or a processed version thereof) to the secondary storage device 108 .
- the communication pathway 114 between the client computing device 102 and the secondary storage computing device 106 comprises a portion of a LAN, WAN or SAN.
- at least some client computing devices 102 communicate directly with the secondary storage devices 108 (e.g., via Fibre Channel or SCSI connections).
- FIG. 1B is a detailed view showing some specific examples of primary data stored on the primary storage device(s) 104 and secondary copy data stored on the secondary storage device(s) 108 , with other components in the system removed for the purposes of illustration.
- Stored on the primary storage device(s) 104 are primary data objects including word processing documents 119 A-B, spreadsheets 120 , presentation documents 122 , video files 124 , image files 126 , email mailboxes 128 (and corresponding email messages 129 A-C), html/xml or other types of markup language files 130 , databases 132 and corresponding tables 133 A- 133 C).
- Some or all primary data objects are associated with a primary copy of object metadata (e.g., “Meta1-11”), which may be file system metadata and/or application specific metadata.
- object metadata e.g., “Meta1-11”
- metadata Stored on the secondary storage device(s) 108 are secondary copy objects 134 A-C which may include copies of or otherwise represent corresponding primary data objects and metadata.
- the secondary copy objects 134 A-C can individually represent more than one primary data object.
- secondary copy data object 134 A represents three separate primary data objects 133 C, 122 and 129 C (represented as 133 C′, 122 ′ and 129 C′, respectively).
- a secondary copy object may store a representation of a primary data object or metadata differently than the original format, e.g., in a compressed, encrypted, deduplicated, or other modified format.
- the information management system 100 can incorporate a variety of different hardware and software components, which can in turn be organized with respect to one another in many different configurations, depending on the embodiment. There are critical design choices involved in specifying the functional responsibilities of the components and the role of each component in the information management system 100 . For instance, as will be discussed, such design choices can impact performance as well as the adaptability of the information management system 100 to data growth or other changing circumstances.
- FIG. 1C shows an information management system 100 designed according to these considerations and which includes: a central storage or information manager 140 configured to perform certain control functions, one or more data agents 142 executing on the client computing device(s) 102 configured to process primary data 112 , and one or more media agents 144 executing on the one or more secondary storage computing devices 106 for performing tasks involving the secondary storage devices 108 .
- a central storage or information manager 140 configured to perform certain control functions
- one or more data agents 142 executing on the client computing device(s) 102 configured to process primary data 112
- media agents 144 executing on the one or more secondary storage computing devices 106 for performing tasks involving the secondary storage devices 108 .
- the number of components in the information management system 100 and the amount of data under management can be quite large. Managing the components and data is therefore a significant task, and a task that can grow in an often unpredictable fashion as the quantity of components and data scale to meet the needs of the organization.
- responsibility for controlling the information management system 100 is allocated to the storage manager 140 .
- the storage manager 140 can be adapted independently according to changing circumstances. Moreover, a host computing device can be selected to best suit the functions of the storage manager 140 .
- the storage manager 140 may be a software module or other application.
- the storage manager generally initiates, coordinates and/or controls storage and other information management operations performed by the information management system 100 , e.g., to protect and control the primary data 112 and secondary copies 116 of data and metadata.
- the storage manager 140 may communicate with and/or control some or all elements of the information management system 100 , such as the data agents 142 and media agents 144 .
- control information originates from the storage manager 140
- payload data and metadata is generally communicated between the data agents 142 and the media agents 144 (or otherwise between the client computing device(s) 102 and the secondary storage computing device(s) 106 ), e.g., at the direction of the storage manager 140 .
- some information management operations are controlled by other components in the information management system 100 (e.g., the media agent(s) 144 or data agent(s) 142 ), instead of or in combination with the storage manager 140 .
- the storage manager provides one or more of the following functions:
- the storage manager 140 may maintain a database 146 of management-related data and information management policies 148 .
- the database 146 may include a management index 150 or other data structure that stores logical associations between components of the system, user preferences and/or profiles (e.g., preferences regarding encryption, compression, or deduplication of primary or secondary copy data, preferences regarding the scheduling, type, or other aspects of primary or secondary copy or other operations, mappings of particular information management users or user accounts to certain computing devices or other components, etc.), management tasks, media containerization, or other useful data.
- the storage manager 140 may use the index 150 to track logical associations between media agents 144 and secondary storage devices 108 and/or movement of data from primary storage devices 104 to secondary storage devices 108 .
- Administrators and other employees may be able to manually configure and initiate certain information management operations on an individual basis. But while this may be acceptable for some recovery operations or other relatively less frequent tasks, it is often not workable for implementing on-going organization-wide data protection and management.
- an information management policy 148 can include a data structure or other information source that specifies a set of parameters (e.g., criteria and rules) associated with storage or other information management operations.
- the storage manager database 146 may maintain the information management policies 148 and associated data, although the information management policies 148 can be stored in any appropriate location.
- a storage policy may be stored as metadata in a media agent database 152 or in a secondary storage device 108 (e.g., as an archive copy) for use in restore operations or other information management operations, depending on the embodiment.
- Information management policies 148 are described further below.
- the storage manager database 146 comprises a relational database (e.g., an SQL database) for tracking metadata, such as metadata associated with secondary copy operations (e.g., what client computing devices 102 and corresponding data were protected). This and other metadata may additionally be stored in other locations, such as at the secondary storage computing devices 106 or on the secondary storage devices 108 , allowing data recovery without the use of the storage manager 140 .
- a relational database e.g., an SQL database
- metadata such as metadata associated with secondary copy operations (e.g., what client computing devices 102 and corresponding data were protected).
- This and other metadata may additionally be stored in other locations, such as at the secondary storage computing devices 106 or on the secondary storage devices 108 , allowing data recovery without the use of the storage manager 140 .
- the storage manager 140 may include a jobs agent 156 , a user interface 158 , and a management agent 154 , all of which may be implemented as interconnected software modules or application programs.
- the jobs agent 156 in some embodiments initiates, controls, and/or monitors the status of some or all storage or other information management operations previously performed, currently being performed, or scheduled to be performed by the information management system 100 .
- the jobs agent 156 may access information management policies 148 to determine when and how to initiate and control secondary copy and other information management operations, as will be discussed further.
- the user interface 158 may include information processing and display software, such as a graphical user interface (“GUI”), an application program interface (“API”), or other interactive interface through which users and system processes can retrieve information about the status of information management operations (e.g., storage operations) or issue instructions to the information management system 100 and its constituent components.
- GUI graphical user interface
- API application program interface
- the storage manager 140 may also track information that permits it to select, designate, or otherwise identify content indices, deduplication databases, or similar databases or resources or data sets within its information management cell (or another cell) to be searched in response to certain queries. Such queries may be entered by the user via interaction with the user interface 158 .
- users may optionally issue instructions to the components in the information management system 100 regarding performance of storage and recovery operations. For example, a user may modify a schedule concerning the number of pending secondary copy operations. As another example, a user may employ the GUI to view the status of pending storage operations or to monitor the status of certain components in the information management system 100 (e.g., the amount of capacity left in a storage device).
- the management agent 154 allows multiple information management systems 100 to communicate with one another.
- the information management system 100 in some cases may be one information management subsystem or “cell” of a network of multiple cells adjacent to one another or otherwise logically related in a WAN or LAN. With this arrangement, the cells may be connected to one another through respective management agents 154 .
- the management agent 154 can provide the storage manager 140 with the ability to communicate with other components within the information management system 100 (and/or other cells within a larger information management system) via network protocols and application programming interfaces (“APIs”) including, e.g., HTTP, HTTPS, FTP, REST, virtualization software APIs, cloud service provider APIs, and hosted service provider APIs.
- APIs application programming interfaces
- Inter-cell communication and hierarchy is described in greater detail in U.S. Pat. No. 7,035,880, which is incorporated by reference herein.
- a variety of different types of applications 110 can reside on a given client computing device 102 , including operating systems, database applications, e-mail applications, and virtual machines, just to name a few. And, as part of the as part of the process of creating and restoring secondary copies 116 , the client computing devices 102 may be tasked with processing and preparing the primary data 112 from these various different applications 110 . Moreover, the nature of the processing/preparation can differ across clients and application types, e.g., due to inherent structural and formatting differences between applications 110 .
- the one or more data agent(s) 142 are therefore advantageously configured in some embodiments to assist in the performance of information management operations based on the type of data that is being protected, at a client-specific and/or application-specific level.
- the data agent 142 may be a software module or component that is generally responsible for managing, initiating, or otherwise assisting in the performance of information management operations. For instance, the data agent 142 may take part in performing data storage operations such as the copying, archiving, migrating, replicating of primary data 112 stored in the primary storage device(s) 104 . The data agent 142 may receive control information from the storage manager 140 , such as commands to transfer copies of data objects, metadata, and other payload data to the media agents 144 .
- a data agent 142 may be distributed between the client computing device 102 and storage manager 140 (and any other intermediate components) or may be deployed from a remote location or its functions approximated by a remote process that performs some or all of the functions of data agent 142 .
- a data agent 142 may perform some functions provided by a media agent 144 , e.g., encryption and deduplication.
- each data agent 142 may be specialized for a particular application 110 , and the system can employ multiple data agents 142 , each of which may backup, migrate, and recover data associated with a different application 110 .
- different individual data agents 142 may be designed to handle Microsoft Exchange data, Lotus Notes data, Microsoft Windows file system data, Microsoft Active Directory Objects data, SQL Server data, SharePoint data, Oracle database data, SAP database data, virtual machines and/or associated data, and other types of data.
- a file system data agent may handle data files and/or other file system information.
- one data agent 142 may be used for each data type to copy, archive, migrate, and restore the client computing device 102 data.
- the client computing device 102 may use one Microsoft Exchange Mailbox data agent 142 to backup the Exchange mailboxes, one Microsoft Exchange Database data agent 142 to backup the Exchange databases, one Microsoft Exchange Public Folder data agent 142 to backup the Exchange Public Folders, and one Microsoft Windows File System data agent 142 to backup the file system of the client computing device 102 .
- these data agents 142 may be treated as four separate data agents 142 by even though they reside on the same client computing device 102 .
- FIG. 1 may depict one or more generic data agents 142 that can handle and process data from two or more different applications 110 , or that can handle and process multiple data types, instead of or in addition to using specialized data agents 142 .
- one generic data agent 142 may be used to back up, migrate and restore Microsoft Exchange Mailbox data and Microsoft Exchange Database data while another generic data agent may handle Microsoft Exchange Public Folder data and Microsoft Windows File System data.
- Each data agent 142 may be configured to access data and/or metadata stored in the primary storage device(s) 104 associated with the data agent 142 and process the data as appropriate. For example, during a secondary copy operation, the data agent 142 may arrange or assemble the data and metadata into one or more files having a certain format (e.g., a particular backup or archive format) before transferring the file(s) to a media agent 144 or other component. The file(s) may include a list of files or other metadata. Each data agent 142 can also assist in restoring data or metadata to primary storage devices 104 from a secondary copy 116 . For instance, the data agent 142 may operate in conjunction with the storage manager 140 and one or more of the media agents 144 to restore data from secondary storage device(s) 108 .
- a certain format e.g., a particular backup or archive format
- off-loading certain responsibilities from the client computing devices 102 to intermediary components such as the media agent(s) 144 can provide a number of benefits including improved client computing device 102 operation, faster secondary copy operation performance, and enhanced scalability.
- the media agent 144 can act as a local cache of copied data and/or metadata that it has stored to the secondary storage device(s) 108 , providing improved restore capabilities.
- a media agent 144 may be implemented as a software module that manages, coordinates, and facilitates the transmission of data, as directed by the storage manager 140 , between a client computing device 102 and one or more secondary storage devices 108 . Whereas the storage manager 140 controls the operation of the information management system 100 , the media agent 144 generally provides a portal to secondary storage devices 108 .
- Media agents 144 can comprise logically and/or physically separate nodes in the information management system 100 (e.g., separate from the client computing devices 102 , storage manager 140 , and/or secondary storage devices 108 ).
- each media agent 144 may reside on a dedicated secondary storage computing device 106 in some cases, while in other embodiments a plurality of media agents 144 reside on the same secondary storage computing device 106 .
- a media agent 144 (and corresponding media agent database 152 ) may be considered to be “associated with” a particular secondary storage device 108 if that media agent 144 is capable of one or more of: routing and/or storing data to the particular secondary storage device 108 , coordinating the routing and/or storing of data to the particular secondary storage device 108 , retrieving data from the particular secondary storage device 108 , and coordinating the retrieval of data from a particular secondary storage device 108 .
- media agent(s) 144 are generally associated with one or more secondary storage devices 108
- the media agents 144 in certain embodiments are physically separate from the secondary storage devices 108 .
- the media agents 144 may reside on secondary storage computing devices 106 having different housings or packages than the secondary storage devices 108 .
- a media agent 144 resides on a first server computer and is in communication with a secondary storage device(s) 108 residing in a separate, rack-mounted RAID-based system.
- a media agent 144 associated with a particular secondary storage device 108 may instruct the secondary storage device 108 (e.g., a tape library) to use a robotic arm or other retrieval means to load or eject a certain storage media, and to subsequently archive, migrate, or retrieve data to or from that media, e.g., for the purpose of restoring the data to a client computing device 102 .
- the media agent 144 may communicate with a secondary storage device 108 via a suitable communications link, such as a SCSI or Fiber Channel link.
- each media agent 144 may maintain an associated media agent database 152 .
- the media agent database 152 may be stored in a disk or other storage device (not shown) that is local to the secondary storage computing device 106 on which the media agent 144 resides. In other cases, the media agent database 152 is stored remotely from the secondary storage computing device 106 .
- the media agent database 152 can include, among other things, an index 153 including data generated during secondary copy operations and other storage or information management operations.
- the index 153 provides a media agent 144 or other component with a fast and efficient mechanism for locating secondary copies 116 or other data stored in the secondary storage devices 108 .
- a storage manager index 150 or other data structure may store data associating a client computing device 102 with a particular media agent 144 and/or secondary storage device 108 , as specified in a storage policy.
- a media agent index 153 or other data structure associated with the particular media agent 144 may in turn include information about the stored data.
- the index 153 may include metadata such as a list of the data objects (e.g., files/subdirectories, database objects, mailbox objects, etc.), a path to the secondary copy 116 on the corresponding secondary storage device 108 , location information indicating where the data objects are stored in the secondary storage device 108 , when the data objects were created or modified, etc.
- the index 153 includes metadata associated with the secondary copies 116 that is readily available for use in storage operations and other activities without having to be first retrieved from the secondary storage device 108 .
- some or all of the data in the index 153 may instead or additionally be stored along with the data in a secondary storage device 108 , e.g., with a copy of the index 153 .
- the index 153 maintained in the database 152 may operate as a cache, it can also be referred to as an index cache.
- information stored in the index cache 153 typically comprises data that reflects certain particulars about storage operations that have occurred relatively recently. After some triggering event, such as after a certain period of time elapses, or the index cache 153 reaches a particular size, the index cache 153 may be copied or migrated to a secondary storage device(s) 108 . This information may need to be retrieved and uploaded back into the index cache 153 or otherwise restored to a media agent 144 to facilitate retrieval of data from the secondary storage device(s) 108 .
- the cached information may include format or containerization information related to archives or other files stored on the storage device(s) 108 . In this manner, the index cache 153 allows for accelerated restores.
- the media agent 144 generally acts as a coordinator or facilitator of storage operations between client computing devices 102 and corresponding secondary storage devices 108 , but does not actually write the data to the secondary storage device 108 .
- the storage manager 140 (or the media agent 144 ) may instruct a client computing device 102 and secondary storage device 108 to communicate with one another directly.
- the client computing device 102 transmits the data directly to the secondary storage device 108 according to the received instructions, and vice versa.
- the media agent 144 may still receive, process, and/or maintain metadata related to the storage operations.
- the payload data can flow through the media agent 144 for the purposes of populating the index cache 153 maintained in the media agent database 152 , but not for writing to the secondary storage device 108 .
- the media agent 144 and/or other components such as the storage manager 140 may in some cases incorporate additional functionality, such as data classification, content indexing, deduplication, encryption, compression, and the like. Further details regarding these and other functions are described below.
- certain functions of the information management system 100 can be distributed amongst various physical and/or logical components in the system.
- one or more of the storage manager 140 , data agents 142 , and media agents 144 may reside on computing devices that are physically separate from one another. This architecture can provide a number of benefits.
- the secondary computing devices 106 on which the media agents 144 reside can be tailored for interaction with associated secondary storage devices 108 and provide fast index cache operation, among other specific tasks.
- the client computing device(s) 102 can be selected to effectively service the applications 110 residing thereon, in order to efficiently produce and store primary data 112 .
- one or more of the individual components in the information management system 100 can be distributed to multiple, separate computing devices.
- the management database 146 may be migrated to or otherwise reside on a specialized database server (e.g., an SQL server) separate from a server that implements the other functions of the storage manager 140 .
- This configuration can provide added protection because the database 146 can be protected with standard database utilities (e.g., SQL log shipping or database replication) independent from other functions of the storage manager 140 .
- the database 146 can be efficiently replicated to a remote site for use in the event of a disaster or other data loss incident at the primary site. Or the database 146 can be replicated to another computing device within the same site, such as to a higher performance machine in the event that a storage manager host device can no longer service the needs of a growing information management system 100 .
- FIG. 1D shows an embodiment of the information management system 100 including a plurality of client computing devices 102 and associated data agents 142 as well as a plurality of secondary storage computing devices 106 and associated media agents 144 .
- Additional components can be added or subtracted based on the evolving needs of the information management system 100 . For instance, depending on where bottlenecks are identified, administrators can add additional client computing devices 102 , secondary storage devices 106 (and corresponding media agents 144 ), and/or secondary storage devices 108 .
- each client computing device 102 in some embodiments can communicate with any of the media agents 144 , e.g., as directed by the storage manager 140 .
- each media agent 144 may be able to communicate with any of the secondary storage devices 108 , e.g., as directed by the storage manager 140 .
- operations can be routed to the secondary storage devices 108 in a dynamic and highly flexible manner.
- Further examples of scalable systems capable of dynamic storage operations are provided in U.S. Pat. No. 7,246,207, which is incorporated by reference herein.
- certain components are not distributed and may instead reside and execute on the same computing device.
- one or more data agents 142 and the storage manager 140 reside on the same client computing device 102 .
- one or more data agents 142 and one or more media agents 144 reside on a single computing device.
- the information management system 100 can be configured to perform a variety of information management operations. As will be described, these operations can generally include secondary copy and other data movement operations, processing and data manipulation operations, and management operations.
- Data movement operations are generally operations that involve the copying or migration of data (e.g., payload data) between different locations in the information management system 100 .
- data movement operations can include operations in which stored data is copied, migrated, or otherwise transferred from primary storage device(s) 104 to secondary storage device(s) 108 , from secondary storage device(s) 108 to different secondary storage device(s) 108 , or from primary storage device(s) 104 to different primary storage device(s) 104 .
- Data movement operations can include by way of example, backup operations, archive operations, information lifecycle management operations such as hierarchical storage management operations, replication operations (e.g., continuous data replication operations), snapshot operations, deduplication operations, single-instancing operations, auxiliary copy operations, and the like. As will be discussed, some of these operations involve the copying, migration or other movement of data, without actually creating multiple, distinct copies. Nonetheless, some or all of these operations are referred to as “copy” operations for simplicity.
- a backup operation creates a copy of primary data 112 at a particular point in time. Each subsequent backup copy may be maintained independently of the first. Further, a backup copy in some embodiments is stored in a backup format. This can be in contrast to the version in primary data 112 from which the backup copy is derived, and which may instead be stored in a native format of the source application(s) 110 . In various cases, backup copies can be stored in a format in which the data is compressed, encrypted, deduplicated, and/or otherwise modified from the original application format. For example, a backup copy may be stored in a backup format that facilitates compression and/or efficient long-term storage.
- Backup copies can have relatively long retention periods as compared to primary data 112 , and may be stored on media with slower retrieval times than primary data 112 and certain other types of secondary copies 116 .
- backups may have relatively shorter retention periods than some other types of secondary copies 116 , such as archive copies (described below). Backups may sometimes be stored at on offsite location.
- Backup operations can include full, synthetic or incremental backups.
- a full backup in some embodiments is generally a complete image of the data to be protected. However, because full backup copies can consume a relatively large amount of storage, it can be useful to use a full backup copy as a baseline and only store changes relative to the full backup copy for subsequent backup copies.
- a differential backup operation (or cumulative incremental backup operation) tracks and stores changes that have occurred since the last full backup.
- Differential backups can grow quickly in size, but can provide relatively efficient restore times because a restore can be completed in some cases using only the full backup copy and the latest differential copy.
- An incremental backup operation generally tracks and stores changes since the most recent backup copy of any type, which can greatly reduce storage utilization. In some cases, however, restore times can be relatively long in comparison to full or differential backups because completing a restore operation may involve accessing a full backup in addition to multiple incremental backups.
- Any of the above types of backup operations can be at the file-level, e.g., where the information management system 100 generally tracks changes to files at the file-level, and includes copies of files in the backup copy.
- block-level backups are employed, where files are broken into constituent blocks, and changes are tracked at the block-level.
- the information management system 100 reassembles the blocks into files in a transparent fashion.
- backup operations generally involve maintaining a version of the copied data in primary data 112 and also maintaining backup copies in secondary storage device(s) 108 , they can consume significant storage capacity.
- an archive operation creates a secondary copy 116 by both copying and removing source data. Or, seen another way, archive operations can involve moving some or all of the source data to the archive destination. Thus, data satisfying criteria for removal (e.g., data of a threshold age or size) from the source copy may be removed from source storage.
- Archive copies are sometimes stored in an archive format or other non-native application format.
- the source data may be primary data 112 or a secondary copy 116 , depending on the situation.
- archive copies can be stored in a format in which the data is compressed, encrypted, deduplicated, and/or otherwise modified from the original application format.
- archive copies may be retained for relatively long periods of time (e.g., years) and, in some cases, are never deleted. Archive copies are generally retained for longer periods of time than backup copies, for example. In certain embodiments, archive copies may be made and kept for extended periods in order to meet compliance regulations.
- primary data 112 when primary data 112 is archived, in some cases the archived primary data 112 or a portion thereof is deleted when creating the archive copy. Thus, archiving can serve the purpose of freeing up space in the primary storage device(s) 104 . Similarly, when a secondary copy 116 is archived, the secondary copy 116 may be deleted, and an archive copy can therefore serve the purpose of freeing up space in secondary storage device(s) 108 . In contrast, source copies often remain intact when creating backup copies.
- Snapshot operations can provide a relatively lightweight, efficient mechanism for protecting data.
- a snapshot may be thought of as an “instant” image of the primary data 112 at a given point in time.
- a snapshot may generally capture the directory structure of an object in primary data 112 such as a file or volume or other data set at a particular moment in time and may also preserve file attributes and contents.
- a snapshot in some cases is created relatively quickly, e.g., substantially instantly, using a minimum amount of file space, but may still function as a conventional file system backup.
- a snapshot copy in many cases can be made quickly and without significantly impacting primary computing resources because large amounts of data need not be copied or moved.
- a snapshot may exist as a virtual file system, parallel to the actual file system. Users in some cases gain read-only access to the record of files and directories of the snapshot. By electing to restore primary data 112 from a snapshot taken at a given point in time, users may also return the current file system to the state of the file system that existed when the snapshot was taken.
- snapshots do not actually create another physical copy of all the data as it existed at the particular point in time, but may simply create pointers that are able to map files and directories to specific memory locations (e.g., disk blocks) where the data resides, as it existed at the particular point in time.
- a snapshot copy may include a set of pointers derived from the file system or an application. Each pointer points to a respective stored data block, so collectively, the set of pointers reflect the storage location and state of the data object (e.g., file(s) or volume(s) or data set(s)) at a particular point in time when the snapshot copy was created.
- the initial snapshot may use only a small amount of disk space needed to record a mapping or other data structure representing or otherwise tracking the blocks that correspond to the current state of the file system. Additional disk space is usually required only when files and directories are actually modified later. Furthermore, when files are modified, typically only the pointers which map to blocks are copied, not the blocks themselves. In some embodiments, for example in the case of “copy-on-write” snapshots, when a block changes in primary storage, the block is copied to secondary storage or cached in primary storage before the block is overwritten in primary storage.
- the snapshot mapping of file system data is also updated to reflect the changed block(s) at that particular point in time.
- a snapshot includes a full physical copy of all or substantially all of the data represented by the snapshot. Further examples of snapshot operations are provided in U.S. Pat. No. 7,529,782, which is incorporated by reference herein.
- Another type of secondary copy operation is a replication operation.
- Some types of secondary copies 116 are used to periodically capture images of primary data 112 at particular points in time (e.g., backups, archives, and snapshots). However, it can also be useful for recovery purposes to protect primary data 112 in a more continuous fashion, by replicating the primary data 112 substantially as changes occur.
- a replication copy can be a mirror copy, for instance, where changes made to primary data 112 are mirrored to another location (e.g., to secondary storage device(s) 108 ).
- secondary storage device(s) 108 ). By copying each write operation to the replication copy, two storage systems are kept synchronized or substantially synchronized so that they are virtually identical at approximately the same time. Where entire disk volumes are mirrored, however, mirroring can require significant amount of storage space and utilizes a large amount of processing resources.
- storage operations are performed on replicated data that represents a recoverable state, or “known good state” of a particular application running on the source system.
- known good replication copies may be viewed as copies of primary data 112 . This feature allows the system to directly access, copy, restore, backup or otherwise manipulate the replication copies as if the data was the “live”, primary data 112 . This can reduce access time, storage utilization, and impact on source applications 110 , among other benefits.
- the information management system 100 can replicate sections of application data that represent a recoverable state rather than rote copying of blocks of data. Examples of compatible replication operations (e.g., continuous data replication) are provided in U.S. Pat. No. 7,617,262, which is incorporated by reference herein.
- deduplication Another type of data movement operation is deduplication, which is useful to reduce the amount of data within the system.
- some or all of the above-described secondary storage operations can involve deduplication in some fashion.
- New data is read, broken down into blocks (e.g., sub-file level blocks) of a selected granularity, compared with blocks that are already stored, and only the new blocks are stored.
- Blocks that already exist are represented as pointers to the already stored data.
- the information management system 100 may calculate and/or store signatures (e.g., hashes) corresponding to the individual data blocks and compare the hashes instead of comparing entire data blocks.
- signatures e.g., hashes
- deduplication operations may therefore be referred to interchangeably as “single-instancing” operations.
- deduplication or single-instancing operations can store more than one instance of certain data blocks, but nonetheless significantly reduce data redundancy.
- single-instancing in some cases is distinguished from deduplication as a process of analyzing and reducing data at the file level, rather than the sub-file level.
- deduplication blocks can be of fixed or variable length. Using variable length blocks can provide enhanced deduplication by responding to changes in the data stream, but can involve complex processing.
- the information management system 100 utilizes a technique for dynamically aligning deduplication blocks (e.g., fixed-length blocks) based on changing content in the data stream, as described in U.S. Pat. Pub. No. 2012/0084268, which is incorporated by reference herein.
- the information management system 100 can perform deduplication in a variety of manners at a variety of locations in the information management system 100 .
- the information management system 100 implements “target-side” deduplication by deduplicating data (e.g., secondary copies 116 ) stored in the secondary storage devices 108 .
- the media agents 144 are generally configured to manage the deduplication process.
- one or more of the media agents 144 maintain a corresponding deduplication database that stores deduplication information (e.g., datablock signatures). Examples of such a configuration are provided in U.S. Pat. Pub. No. 2012/0150826, which is incorporated by reference herein.
- Deduplication can also be performed on the “source-side” (or “client-side”), e.g., to reduce the amount of traffic between the media agents 144 and the client computing device(s) 102 and/or reduce redundant data stored in the primary storage devices 104 . Examples of such deduplication techniques are provided in U.S. Pat. Pub. No. 2012/0150818, which is incorporated by reference herein.
- files and other data over their lifetime move from more expensive, quick access storage to less expensive, slower access storage.
- Operations associated with moving data through various tiers of storage are sometimes referred to as information lifecycle management (ILM) operations.
- ILM information lifecycle management
- a HSM operation is generally an operation for automatically moving data between classes of storage devices, such as between high-cost and low-cost storage devices.
- HSM operation may involve movement of data from primary storage devices 104 to secondary storage devices 108 , or between tiers of secondary storage devices 108 . With each tier, the storage devices may be progressively relatively cheaper, have relatively slower access/restore times, etc. For example, movement of data between tiers may occur as data becomes less important over time.
- an HSM operation is similar to an archive operation in that creating an HSM copy may (though not always) involve deleting some of the source data.
- an HSM copy may include data from primary data 112 or a secondary copy 116 that is larger than a given size threshold or older than a given age threshold and that is stored in a backup format.
- HSM data that is removed or aged from the source copy is replaced by a logical reference pointer or stub.
- the reference pointer or stub can be stored in the primary storage device 104 to replace the deleted data in primary data 112 (or other source copy) and to point to or otherwise indicate the new location in a secondary storage device 108 .
- files are generally moved between higher and lower cost storage depending on how often the files are accessed.
- the information management system 100 uses the stub to locate the data and often make recovery of the data appear transparent, even though the HSM data may be stored at a location different from the remaining source data.
- the stub may also include some metadata associated with the corresponding data, so that a file system and/or application can provide some information about the data object and/or a limited-functionality version (e.g., a preview) of the data object.
- An HSM copy may be stored in a format other than the native application format (e.g., where the data is compressed, encrypted, deduplicated, and/or otherwise modified from the original application format).
- copies which involve the removal of data from source storage and the maintenance of stub or other logical reference information on source storage may be referred to generally as “on-line archive copies”.
- copies which involve the removal of data from source storage without the maintenance of stub or other logical reference information on source storage may be referred to as “off-line archive copies”.
- An auxiliary copy is generally a copy operation in which a copy is created of an existing secondary copy 116 .
- an initial or “primary” secondary copy 116 may be generated using or otherwise be derived from primary data 112
- an auxiliary copy is generated from the initial secondary copy 116 .
- Auxiliary copies can be used to create additional standby copies of data and may reside on different secondary storage devices 108 than initial secondary copies 116 .
- auxiliary copies can be used for recovery purposes if initial secondary copies 116 become unavailable.
- Exemplary compatible auxiliary copy techniques are described in further detail in U.S. Pat. No. 8,230,195, which is incorporated by reference herein.
- the information management system 100 may also perform disaster recovery operations that make or retain disaster recovery copies, often as secondary, high-availability disk copies.
- the information management system 100 may create secondary disk copies and store the copies at disaster recovery locations using auxiliary copy or replication operations, such as continuous data replication technologies.
- disaster recovery locations can be remote from the client computing devices 102 and primary storage devices 104 , remote from some or all of the secondary storage devices 108 , or both.
- the information management system 100 can also be configured to implement certain data manipulation operations, which according to certain embodiments are generally operations involving the processing or modification of stored data. Some data manipulation operations include content indexing operations and classification operations can be useful in leveraging the data under management to provide enhanced search and other features. Other data manipulation operations such as compression and encryption can provide data reduction and security benefits, respectively.
- Data manipulation operations can be different than data movement operations in that they do not necessarily involve the copying, migration or other transfer of data (e.g., primary data 112 or secondary copies 116 ) between different locations in the system.
- data manipulation operations may involve processing (e.g., offline processing) or modification of already stored primary data 112 and/or secondary copies 116 .
- data manipulation operations are performed in conjunction with data movement operations.
- the information management system 100 may encrypt data while performing an archive operation.
- the information management system 100 “content indexes” data stored within the primary data 112 and/or secondary copies 116 , providing enhanced search capabilities for data discovery and other purposes.
- the content indexing can be used to identify files or other data objects having pre-defined content (e.g., user-defined keywords or phrases), metadata (e.g., email metadata such as “to”, “from”, “cc”, “bcc”, attachment name, received time, etc.).
- the information management system 100 generally organizes and catalogues the results in a content index, which may be stored within the media agent database 152 , for example.
- the content index can also include the storage locations of (or pointer references to) the indexed data in the primary data 112 or secondary copies 116 , as appropriate.
- the results may also be stored, in the form of a content index database or otherwise, elsewhere in the information management system 100 (e.g., in the primary storage devices 104 , or in the secondary storage device 108 ).
- Such index data provides the storage manager 140 or another component with an efficient mechanism for locating primary data 112 and/or secondary copies 116 of data objects that match particular criteria.
- search criteria can be specified by a user through user interface 158 of the storage manager 140 .
- the information management system 100 analyzes data and/or metadata in secondary copies 116 to create an “off-line” content index, without significantly impacting the performance of the client computing devices 102 .
- the system can also implement “on-line” content indexing, e.g., of primary data 112 . Examples of compatible content indexing techniques are provided in U.S. Pat. No. 8,170,995, which is incorporated by reference herein.
- one or more components can be configured to scan data and/or associated metadata for classification purposes to populate a metabase of information.
- Such scanned, classified data and/or metadata may be included in a separate database and/or on a separate storage device from primary data 112 (and/or secondary copies 116 ), such that metabase related operations do not significantly impact performance on other components in the information management system 100 .
- the metabase(s) may be stored along with primary data 112 and/or secondary copies 116 .
- Files or other data objects can be associated with user-specified identifiers (e.g., tag entries) in the media agent 144 (or other indices) to facilitate searches of stored data objects.
- the metabase can also allow efficient, automatic identification of files or other data objects to associate with secondary copy or other information management operations (e.g., in lieu of scanning an entire file system). Examples of compatible metabases and data classification operations are provided in U.S. Pat. Nos. 8,229,954 and 7,747,579, which are incorporated by reference herein.
- the information management system 100 in some cases is configured to process data (e.g., files or other data objects, secondary copies 116 , etc.), according to an appropriate encryption algorithm (e.g., Blowfish, Advanced Encryption Standard [AES], Triple Data Encryption Standard [3-DES], etc.) to limit access and provide data security in the information management system 100 .
- an appropriate encryption algorithm e.g., Blowfish, Advanced Encryption Standard [AES], Triple Data Encryption Standard [3-DES], etc.
- the information management system 100 in some cases encrypts the data at the client level, such that the client computing devices 102 (e.g., the data agents 142 ) encrypt the data prior to forwarding the data to other components, e.g., before sending the data media agents 144 during a secondary copy operation.
- the client computing device 102 may maintain or have access to an encryption key or passphrase for decrypting the data upon restore. Encryption can also occur when creating copies of secondary copies, e.g., when creating auxiliary copies.
- the secondary storage devices 108 can implement built-in, high performance hardware encryption.
- Certain embodiments leverage the integrated, ubiquitous nature of the information management system 100 to provide useful system-wide management functions.
- the information management system 100 can be configured to implement operations management and e-discovery functions.
- Operations management can generally include monitoring and managing the health and performance of information management system 100 by, without limitation, performing error tracking, generating granular storage/performance metrics (e.g., job success/failure information, deduplication efficiency, etc.), generating storage modeling and costing information, and the like.
- granular storage/performance metrics e.g., job success/failure information, deduplication efficiency, etc.
- Such information can be provided to users via the user interface 158 in a single, integrated view.
- the integrated user interface 158 can include an option to show a “virtual view” of the system that graphically depicts the various components in the system using appropriate icons.
- the operations management functionality can facilitate planning and decision-making. For example, in some embodiments, a user may view the status of some or all jobs as well as the status of each component of the information management system 100 . Users may then plan and make decisions based on this data. For instance, a user may view high-level information regarding storage operations for the information management system 100 , such as job status, component status, resource status (e.g., network pathways, etc.), and other information. The user may also drill down or use other means to obtain more detailed information regarding a particular component, job, or the like.
- the information management system 100 alerts a user such as a system administrator when a particular resource is unavailable or congested. For example, a particular primary storage device 104 or secondary storage device 108 might be full or require additional capacity. Or a component may be unavailable due to hardware failure, software problems, or other reasons.
- the information management system 100 may suggest solutions to such problems when they occur (or provide a warning prior to occurrence).
- the storage manager 140 may alert the user that a secondary storage device 108 is full or otherwise congested. The storage manager 140 may then suggest, based on job and data storage information contained in its database 146 , an alternate secondary storage device 108 .
- corrective actions may include suggesting an alternate data path to a particular primary or secondary storage device 104 , 108 , or dividing data to be stored among various available primary or secondary storage devices 104 , 108 as a load balancing measure or to otherwise optimize storage or retrieval time. Such suggestions or corrective actions may be performed automatically, if desired. Further examples of some compatible operations management techniques and of interfaces providing an integrated view of an information management system are provided in U.S. Pat. No. 7,343,453, which is incorporated by reference herein. In some embodiments, the storage manager 140 implements the operations management functions described herein.
- the information management system 100 can also be configured to perform system-wide e-discovery operations in some embodiments.
- e-discovery operations provide a unified collection and search capability for data in the system, such as data stored in the secondary storage devices 108 (e.g., backups, archives, or other secondary copies 116 ).
- the information management system 100 may construct and maintain a virtual repository for data stored in the information management system 100 that is integrated across source applications 110 , different storage device types, etc.
- e-discovery utilizes other techniques described herein, such as data classification and/or content indexing.
- an information management policy 148 can include a data structure or other information source that specifies a set of parameters (e.g., criteria and rules) associated with secondary copy or other information management operations.
- a storage policy generally comprises a logical container that defines (or includes information sufficient to determine) one or more of the following items: (1) what data will be associated with the storage policy; (2) a destination to which the data will be stored; (3) datapath information specifying how the data will be communicated to the destination; (4) the type of storage operation to be performed; and (5) retention information specifying how long the data will be retained at the destination.
- Data associated with a storage policy can be logically organized into groups, which can be referred to as “sub-clients”.
- a sub-client may represent static or dynamic associations of portions of a data volume.
- Sub-clients may represent mutually exclusive portions.
- a portion of data may be given a label and the association is stored as a static entity in an index, database or other storage location.
- Sub-clients may also be used as an effective administrative scheme of organizing data according to data type, department within the enterprise, storage preferences, or the like. Depending on the configuration, sub-clients can correspond to files, folders, virtual machines, databases, etc. In one exemplary scenario, an administrator may find it preferable to separate e-mail data from financial data using two different sub-clients.
- a storage policy can define where data is stored by specifying a target or destination storage device (or group of storage devices). For instance, where the secondary storage device 108 includes a group of disk libraries, the storage policy may specify a particular disk library for storing the sub-clients associated with the policy. As another example, where the secondary storage devices 108 include one or more tape libraries, the storage policy may specify a particular tape library for storing the sub-clients associated with the storage policy, and may also specify a drive pool and a tape pool defining a group of tape drives and a group of tapes, respectively, for use in storing the sub-client data.
- Datapath information can also be included in the storage policy.
- the storage policy may specify network pathways and components to utilize when moving the data to the destination storage device(s).
- the storage policy specifies one or more media agents 144 for conveying data (e.g., one or more sub-clients) associated with the storage policy between the source (e.g., one or more host client computing devices 102 ) and destination (e.g., a particular target secondary storage device 108 ).
- a storage policy can also specify the type(s) of operations associated with the storage policy, such as a backup, archive, snapshot, auxiliary copy, or the like.
- Retention information can specify how long the data will be kept, depending on organizational needs (e.g., a number of days, months, years, etc.)
- the information management policies 148 may also include one or more scheduling policies specifying when and how often to perform operations. Scheduling information may specify with what frequency (e.g., hourly, weekly, daily, event-based, etc.) or under what triggering conditions secondary copy or other information management operations will take place. Scheduling policies in some cases are associated with particular components, such as particular sub-clients, client computing device 102 , and the like. In one configuration, a separate scheduling policy is maintained for particular sub-clients on a client computing device 102 . The scheduling policy specifies that those sub-clients are to be moved to secondary storage devices 108 every hour according to storage policies associated with the respective sub-clients.
- administrators can manually configure information management policies 148 and/or other settings, e.g., via the user interface 158 .
- this can be an involved process resulting in delays, and it may be desirable to begin data protecting operations quickly.
- the information management system 100 automatically applies a default configuration to client computing device 102 .
- the installation script may register the client computing device 102 with the storage manager 140 , which in turn applies the default configuration to the new client computing device 102 .
- the default configuration can include a default storage policy, for example, and can specify any appropriate information sufficient to begin data protection operations. This can include a type of data protection operation, scheduling information, a target secondary storage device 108 , data path information (e.g., a particular media agent 144 ), and the like.
- an audit policy is a set of preferences, rules and/or criteria that protect sensitive data in the information management system 100 .
- an audit policy may define “sensitive objects” as files or objects that contain particular keywords (e.g. “confidential,” or “privileged”) and/or are associated with particular keywords (e.g., in metadata) or particular flags (e.g., in metadata identifying a document or email as personal, confidential, etc.).
- An audit policy may further specify rules for handling sensitive objects.
- an audit policy may require that a reviewer approve the transfer of any sensitive objects to a cloud storage site, and that if approval is denied for a particular sensitive object, the sensitive object should be transferred to a local storage device 104 instead.
- the audit policy may further specify how a secondary storage computing device 106 or other system component should notify a reviewer that a sensitive object is slated for transfer.
- the information management policies 148 may include one or more provisioning policies.
- a provisioning policy can include a set of preferences, priorities, rules, and/or criteria that specify how clients 102 (or groups thereof) may utilize system resources, such as available storage on cloud storage and/or network bandwidth.
- a provisioning policy specifies, for example, data quotas for particular client computing devices 102 (e.g. a number of gigabytes that can be stored monthly, quarterly or annually).
- the storage manager 140 or other components may enforce the provisioning policy.
- the media agents 144 may enforce the policy when transferring data to secondary storage devices 108 . If a client computing device 102 exceeds a quota, a budget for the client computing device 102 (or associated department) is adjusted accordingly or an alert may trigger.
- information management policies 148 have been described as separate policies, one or more of these can be generally combined into a single information management policy 148 .
- a storage policy may also include or otherwise be associated with one or more scheduling, audit, or provisioning policies.
- storage policies are typically associated with moving and storing data, other policies may be associated with other types of information management operations. The following is a non-exhaustive list of items the information management policies 148 may specify:
- Policies can additionally specify or depend on a variety of historical or current criteria that may be used to determine which rules to apply to a particular data object, system component, or information management operation, such as:
- FIG. 1E shows a data flow data diagram depicting performance of storage operations by an embodiment of an information management system 100 , according to an exemplary data storage policy 148 A.
- the information management system 100 includes a storage manger 140 , a client computing device 102 having a file system data agent 142 A and an email data agent 142 B residing thereon, a primary storage device 104 , two media agents 144 A, 144 B, and two secondary storage devices 108 A, 108 B: a disk library 108 A and a tape library 108 B.
- the primary storage device 104 includes primary data 112 A, 1126 associated with a file system sub-client and an email sub-client, respectively.
- the second media agent 144 B and the tape library 108 B are “off-site”, and may therefore be remotely located from the other components in the information management system 100 (e.g., in a different city, office building, etc.). In this manner, information stored on the tape library 1086 may provide protection in the event of a disaster or other failure.
- the file system sub-client and its associated primary data 112 A in certain embodiments generally comprise information generated by the file system and/or operating system of the client computing device 102 , and can include, for example, file system data (e.g., regular files, file tables, mount points, etc.), operating system data (e.g., registries, event logs, etc.), and the like.
- the e-mail sub-client, on the other hand, and its associated primary data 112 B include data generated by an e-mail client application operating on the client computing device 102 , and can include mailbox information, folder information, emails, attachments, associated database information, and the like.
- the sub-clients can be logical containers, and the data included in the corresponding primary data 112 A, 112 B may or may not be stored contiguously.
- the exemplary storage policy 148 A includes a backup copy rule set 160 , a disaster recovery copy rule set 162 , and a compliance copy rule set 164 .
- the backup copy rule set 160 specifies that it is associated with a file system sub-client 166 and an email sub-client 168 . Each of these sub-clients 166 , 168 are associated with the particular client computing device 102 .
- the backup copy rule set 160 further specifies that the backup operation will be written to the disk library 108 A, and designates a particular media agent 144 A to convey the data to the disk library 108 A.
- the backup copy rule set 160 specifies that backup copies created according to the rule set 160 are scheduled to be generated on an hourly basis and to be retained for 30 days. In some other embodiments, scheduling information is not included in the storage policy 148 A, and is instead specified by a separate scheduling policy.
- the disaster recovery copy rule set 162 is associated with the same two sub-clients 166 , 168 . However, the disaster recovery copy rule set 162 is associated with the tape library 108 B, unlike the backup copy rule set 160 . Moreover, the disaster recovery copy rule set 162 specifies that a different media agent 144 B than the media agent 144 A associated with the backup copy rule set 160 will be used to convey the data to the tape library 108 B. As indicated, disaster recovery copies created according to the rule set 162 will be retained for 60 days, and will be generated on a daily basis. Disaster recovery copies generated according to the disaster recovery copy rule set 162 can provide protection in the event of a disaster or other data-loss event that would affect the backup copy 116 A maintained on the disk library 108 A.
- the compliance copy rule set 164 is only associated with the email sub-client 166 , and not the file system sub-client 168 . Compliance copies generated according to the compliance copy rule set 164 will therefore not include primary data 112 A from the file system sub-client 166 . For instance, the organization may be under an obligation to store maintain copies of email data for a particular period of time (e.g., 10 years) to comply with state or federal regulations, while similar regulations do not apply to the file system data.
- the compliance copy rule set 164 is associated with the same tape library 108 B and media agent 144 B as the disaster recovery copy rule set 162 , although a different storage device or media agent could be used in other embodiments. Finally, the compliance copy rule set 164 specifies that copies generated under the compliance copy rule set 164 will be retained for 10 years, and will be generated on a quarterly basis.
- the storage manager 140 initiates a backup operation according to the backup copy rule set 160 .
- a scheduling service running on the storage manager 140 accesses scheduling information from the backup copy rule set 160 or a separate scheduling policy associated with the client computing device 102 , and initiates a backup copy operation on an hourly basis.
- the storage manager 140 sends instructions to the client computing device 102 to begin the backup operation.
- the file system data agent 142 A and the email data agent 142 B residing on the client computing device 102 respond to the instructions received from the storage manager 140 by accessing and processing the primary data 112 A, 112 B involved in the copy operation from the primary storage device 104 . Because the operation is a backup copy operation, the data agent(s) 142 A, 142 B may format the data into a backup format or otherwise process the data.
- the client computing device 102 communicates the retrieved, processed data to the first media agent 144 A, as directed by the storage manager 140 , according to the backup copy rule set 160 .
- the information management system 100 may implement a load-balancing, availability-based, or other appropriate algorithm to select from the available set of media agents 144 A, 144 B. Regardless of the manner the media agent 144 A is selected, the storage manager 140 may further keep a record in the storage manager database 140 of the association between the selected media agent 144 A and the client computing device 102 and/or between the selected media agent 144 A and the backup copy 116 A.
- the target media agent 144 A receives the data from the client computing device 102 , and at step 4 conveys the data to the disk library 108 A to create the backup copy 116 A, again at the direction of the storage manager 140 and according to the backup copy rule set 160 .
- the secondary storage device 108 A can be selected in other ways. For instance, the media agent 144 A may have a dedicated association with a particular secondary storage device(s), or the storage manager 140 or media agent 144 A may select from a plurality of secondary storage devices, e.g., according to availability, using one of the techniques described in U.S. Pat. No. 7,246,207, which is incorporated by reference herein.
- the media agent 144 A can also update its index 153 to include data and/or metadata related to the backup copy 116 A, such as information indicating where the backup copy 116 A resides on the disk library 108 A, data and metadata for cache retrieval, etc. After the 30 day retention period expires, the storage manager 140 instructs the media agent 144 A to delete the backup copy 116 A from the disk library 108 A.
- the storage manager 140 initiates the creation of a disaster recovery copy 1166 according to the disaster recovery copy rule set 162 . For instance, at step 6 , based on instructions received from the storage manager 140 at step 5 , the specified media agent 144 B retrieves the most recent backup copy 116 A from the disk library 108 A.
- the media agent 144 B uses the retrieved data to create a disaster recovery copy 116 B on the tape library 108 B.
- the disaster recovery copy 1166 is a direct, mirror copy of the backup copy 116 A, and remains in the backup format.
- the disaster recovery copy 116 C may be generated in some other manner, such as by using the primary data 112 A, 1126 from the storage device 104 as source data. The disaster recovery copy operation is initiated once a day and the disaster recovery copies 116 A are deleted after 60 days.
- the storage manager 140 initiates the creation of a compliance copy 116 C, according to the compliance copy rule set 164 .
- the storage manager 140 instructs the media agent 144 B to create the compliance copy 116 C on the tape library 108 B at step 9 , as specified in the compliance copy rule set 164 .
- the compliance copy 116 C is generated using the disaster recovery copy 116 B.
- the compliance copy 116 C is instead generated using either the primary data 112 B corresponding to the email sub-client or using the backup copy 116 A from the disk library 108 A as source data.
- compliance copies 116 C are created quarterly, and are deleted after ten years.
- a restore operation can be initiated involving one or more of the secondary copies 116 A, 1166 , 116 C.
- a user may manually initiate a restore of the backup copy 116 A by interacting with the user interface 158 of the storage manager 140 .
- the storage manager 140 then accesses data in its index 150 (and/or the respective storage policy 148 A) associated with the selected backup copy 116 A to identify the appropriate media agent 144 A and/or secondary storage device 116 A.
- a media agent may be selected for use in the restore operation based on a load balancing algorithm, an availability based algorithm, or other criteria.
- the selected media agent 144 A retrieves the data from the disk library 108 A. For instance, the media agent 144 A may access its index 153 to identify a location of the backup copy 116 A on the disk library 108 A, or may access location information residing on the disk 108 A itself.
- the media agent 144 A accesses a cached version of the backup copy 116 A residing in the media agent index 153 , without having to access the disk library 108 A for some or all of the data. Once it has retrieved the backup copy 116 A, the media agent 144 A communicates the data to the source client computing device 102 . Upon receipt, the file system data agent 142 A and the email data agent 142 B may unpackage (e.g., restore from a backup format to the native application format) the data in the backup copy 116 A and restore the unpackaged data to the primary storage device 104 .
- unpackage e.g., restore from a backup format to the native application format
- secondary copies 116 can vary, depending on the embodiment.
- secondary copies 116 are formatted as a series of logical data units or “chunks” (e.g., 512 MB, 1 GB, 2 GB, 4 GB, or 8 GB chunks). This can facilitate efficient communication and writing to secondary storage devices 108 , e.g., according to resource availability. For example, a single secondary copy 116 may be written on a chunk-by-chunk basis to a single secondary storage device 108 or across multiple secondary storage devices 108 . In some cases, users can select different chunk sizes, e.g., to improve throughput to tape storage devices.
- each chunk can include a header and a payload.
- the payload can include files (or other data units) or subsets thereof included in the chunk, whereas the chunk header generally includes metadata relating to the chunk, some or all of which may be derived from the payload.
- the media agent 144 , storage manager 140 , or other component may divide the associated files into chunks and generate headers for each chunk by processing the constituent files.
- the headers can include a variety of information such as file identifier(s), volume(s), offset(s), or other information associated with the payload data items, a chunk sequence number, etc.
- the chunk headers 300 can also be stored to the index 153 of the associated media agent(s) 144 and/or the storage manager index 150 . This is useful in some cases for providing faster processing of secondary copies 116 during restores or other operations.
- the secondary storage device 108 returns an indication of receipt, e.g., to the media agent 144 and/or storage manager 140 , which may update their respective indexes 150 , 153 accordingly.
- chunks may be processed (e.g., by the media agent 144 ) according to the information in the chunk header to reassemble the files. Additional information relating to chunks can be found in U.S. Pat. No. 8,156,086, which is incorporated by reference herein.
- FIGS. 1A-1E can be used for protecting secondary copy data.
- the system of FIG. 1D applies backup policies and backs up the data from client computing devices 102 in the data storage system.
- data storage systems include virtual computing devices.
- virtual machines when virtual machines are created, network administrators will sometimes fail to set the protection schemes to ensure that the virtual machines will be backed up.
- Systems and methods are described herein to automatically discover and protect unprotected virtual machines. Further examples of systems and methods for 1) identifying virtual machine backup policies; 2) automatically categorizing unprotected virtual machines; 3) identifying uncategorized virtual machines as unprotected; and 4) protecting unprotected virtual machines are described below with respect to FIGS. 2-7 .
- FIG. 2 is a block diagram illustrating an arrangement of resources that form an example information management cell 750 .
- some or all of the components of the information management cell 750 of FIG. 2 may have the same or similar structure and/or functionality as the similarly named components of the information management cell of FIG. 1D
- the information management cell 750 can include virtual machine management software 740 , a storage or information manager 701 , one or more virtual machines 785 , one or more primary data storage mediums 290 , one or more media agents 205 , and one or more secondary storage mediums 215 .
- the virtual machine management software 740 configures, provisions, and manages virtualized environments, and stores information about the physical servers, resource pools and virtual machines.
- Examples of virtual machine management software 740 are VMware® VirtualCenter, Microsoft® System Center Virtual Machine Manager, and the like.
- the virtual machine management software 740 interfaces with the virtual machines 785 to retrieve information about the virtual machine 785 , which is stored in a database associated with the virtual machine management software 740 . Examples of the stored information are the number of virtual machines in the information management cell 750 , the physical server associated with each virtual machine 785 , and the like.
- the storage or information manager 701 may be a software module or other application that coordinates and/or controls storage operations performed by one or more information management cells 750 , similar to that described above for the storage or information manager 140 and the information management cell 100 of FIGS. 1C and 1D . In this manner, the storage or information manager 701 may act as a generally central control component with respect to the other components in the cell 750 . As shown by the dashed lines, the storage or information manager 701 may communicate with and/or control some or all elements of the information management cell 750 , such as the media agents 205 and virtual computing devices 785 , to initiate, coordinate, and/or manage secondary copy operations.
- the storage or information manager 701 comprises an auto discovery module 710 which, when executed, interfaces with the virtual machine management software 740 to retrieve information about the virtual machines 785 in the information management cell 750 .
- the auto discovery module 710 when executed, can also identify virtual machine backup policies, and automatically categorize virtual machines without designated backup policies, identify uncategorized virtual machines as unprotected, and implement a default backup policy for these unprotected virtual machines.
- auto discovery module is shown as residing on the storage manager 701 , in some embodiments auto discovery functionality is advantageously distributed amongst other components in the system.
- auto discovery agents can execute on or form a part of one or more of the clients 785 , one or more of the data agents 295 , or one or more of the media agents 205 .
- the storage or information manager 701 may maintain the database 260 of management-related data and policies.
- the database 260 may include a management index or other data structure that stores logical associations between components of the system, user preferences and/or profiles, such as preferences regarding the scheduling, type, or other aspects of secondary copy operations, management tasks, media containerization, or other useful data.
- the storage manager database 260 may maintain various “information management policies,” and associated data, which in some embodiments are stored in the management database 260 of the storage manager 701 , although the policies can be stored in any appropriate location.
- a storage or other information management policy may be stored in the media agent database 226 or in secondary storage media 215 (e.g., as an archive copy) as metadata for use in information management operations, depending on the embodiment.
- a policy can include a data structure or other information source that specifies a set of parameters (e.g., criteria and rules) associated with performing one or more information management operations.
- a policy can contain information sufficient for the information management system 750 to set up and execute information management operations corresponding to the policy.
- a policy comprises a data structure that defines at least timing information and type(s) sufficient for the system to perform corresponding information management operations, such as secondary copy operations (e.g. data backup operations).
- Timing information can including scheduling information, and may specify when (e.g., under what triggering conditions) and/or with what frequency (e.g., hourly, weekly, daily, event-based, etc.) operations will take place.
- a policy can be a data structure that defines at least timing information, the type(s) of secondary copy, and information sufficient to determine a secondary storage destination (e.g., a location or class or quality of storage media) for storing the secondary copy.
- a storage policy may include a schedule policy specifying when and how often to perform secondary storage operations.
- Policies can additionally specify a variety of historical or current criteria that may be used to determine which rules to apply to a particular data object, system component, or information management operation.
- the policies can specify criteria that may be used to determine which backup rules apply to virtual machines that do not have a designated backup policy. These criteria or auto-discovery rules can be used to ensure that virtual machines are protected automatically without manual intervention.
- the virtual machine 785 is a software implementation of a computing environment in which an operating system or program can be installed and run.
- the virtual machine 785 typically emulates a physical computing environment, but requests for CPU, memory, hard disk, network and other hardware resources are managed by a virtualization layer which translates these requests to the underlying physical hardware.
- the virtual machines 785 are created within the virtualization layer, such as a hypervisor or a virtualization platform that runs on top of a client or server operating system. This operating system is often known as the host operating system.
- the virtualization layer can be used to create many individual, isolated virtual machine environments.
- guest operating systems and programs are not aware that they are running on a virtual platform and, as long as the virtual machine's virtual platform is supported, this software can be installed in the same way it would be deployed to physical server hardware.
- the guest operating system might appear to have a physical hard disk attached to it, but actual I/O requests are translated by the virtualization layer so they actually occur against a file that is accessible by the host operating system.
- the virtual machines 785 interface with and provide information to the virtual machine management software 740 .
- the virtual machine 785 interfaces with the storage or information manager 701 .
- the information or storage manager 701 queries each computing device 102 , 785 to confirm whether the device 102 , 785 is a virtual machine and to determine whether the confirmed virtual machines 785 are associated with a backup policy.
- Each virtual machine 785 provides information, such as its existence in the information management cell 750 , its associated physical server, its associated backup policy or lack of backup policy, and the like, to the storage or information manager 701 .
- the information is stored in the management database 260 for access by the storage or information manager 701 .
- FIG. 3 illustrates a flow chart of an exemplary embodiment of a process 800 to identify virtual machine backup policies usable by the information management system 750 .
- the information or storage manager 701 queries the virtual machine management software 740 for a list of virtual machines 785 in the information management system 750 .
- the information or storage manager 701 receives a list of the virtual machines 785 in the information management system 750 from the virtual machine management software 740 .
- the process 800 retrieves a list of machines (virtual machines 785 and client computing devices 102 ) in the information management system 750 that have designated backup policies.
- the list of virtual machines 785 and client computing devices 102 is stored in the management database 260 .
- the process 800 compares the list of virtual machines 785 in the information management system 750 with the list of machines in the information management system 750 having designated backup policies.
- the process 800 identifies which virtual machines 785 in the information management system 750 do not have a backup policy.
- the virtual machines 785 without an associated backup policy are unprotected.
- an indication of the virtual machines 785 without designated backup policies is stored in the management database 260 .
- the process 800 notifies the system or network administrator of the virtual machines 785 without an associated backup policy or the unprotected virtual machines 785 .
- the process 800 notifies the administrator through a graphical user interface.
- FIG. 4 illustrates a flow chart of an exemplary embodiment of a process 900 to automatically categorize unprotected virtual machines usable by the information management system 750 .
- the process 900 identifies the virtual machine backup policies of the virtual machines 785 in the information management system 750 .
- the process 900 identifies which virtual machines 785 in the information management system 750 are not assigned a backup policy by comparing the list of virtual machines in the system 750 with the list of machines in the system 750 having designated backup policies, as is described above with respect to FIG. 3 .
- the process 900 automatically retrieves backup characteristics associated with the virtual machines 785 not assigned backup policies.
- the backup characteristics are stored in the management database 260 .
- the information or storage manager 701 queries each virtual machine 785 not assigned a backup policy and receives backup characteristics from the queried virtual machines 785 .
- the process 900 retrieves the backup characteristics associated with the virtual machines 785 not assigned a backup policy from the virtual machine management software 740 .
- backup characteristics are the type of client, processor platform, operating system, type and version of software being run, the user, the location of the user, the department to which the virtual machine 785 is assigned, name of the virtual machine 785 , guest DNS hostname, guest operating system, location in the virtual machine management software 740 of one or more of a folder, resource pool, datacenter, and vApp, location of the virtual machine datastore 290 , attributes in the virtual machine management software 740 , state of the virtual machine 785 , such as power on, and the like.
- the process 900 automatically determines whether the virtual machine's backup characteristics meet the criteria for pre-defined categories or auto-discovery rules associated with backup policies. Each category is associated with criteria and a backup policy. In an embodiment, the process 900 automatically compares the backup characteristics associated with the virtual server 785 to the criteria associated with the categories of auto-discovery rules.
- backup policies are fine tuned to apply the timing, frequency, storage location, and the like, appropriate to the client device being backed up. For example, client devices associated with an accounting department may be backed up every 2 hours, while client devices associated with an engineering department may be backed up every week.
- FIG. 5 is an exemplary screen shot 1000 of available auto-discovery rules usable by the information management system 750 .
- Exemplary screen shot 1000 shows auto-discovery rules in the following categories: cluster affinity, data center affinity, data store affinity, ESX server affinity, matching guest host names by regular expression, operating system group, resource pool affinity, and virtual application affinity.
- the categories of auto-discovery rules may be different from the exemplary categories of FIG. 5 .
- each category is associated with criteria and a backup policy.
- the criteria for the cluster affinity category may be any client device connected to the administration department cluster and the backup policy associated with the cluster affinity category may be a backup schedule of once a day at 11 p.m.
- the process 900 moves to block 908 .
- the process 900 automatically applies the backup policy associated with the auto-discovery rules to the virtual device 785 .
- the virtual device 785 is automatically protected by the process 900 .
- the process 900 associates the backup policy with the virtual device 785 and stores the association in the management database 260 .
- the process 900 moves to block 910 .
- the process 900 identifies the virtual machine 785 as uncategorized.
- the virtual machine 785 is uncategorized when it does not have a designated backup policy and it cannot be automatically assigned a backup policy associated with the auto-discovery rules because it does not fit into any of the categories of auto-discovery rules.
- FIG. 6 illustrates a flow chart of an exemplary embodiment of a process 1100 to identify an unprotected category of virtual machines 785 usable by the information management system 750 .
- the process 1100 identifies the virtual machine backup policies of the virtual machines 785 in the information management system 750 .
- the process 1100 identifies which virtual machines 785 in the information management system 750 are not assigned a backup policy by comparing the list of virtual machines in the system 750 with the list of machines in the system 750 having designated backup policies, as described above with respect to FIG. 3 .
- the process 1100 automatically categorizes virtual machines 785 not associated with a backup policy.
- the process 1100 automatically compares the backup characteristics of the virtual machines 785 without designated backup policies to the criteria associated with categories of auto-discovery rules such that when there is a match, the virtual machine is assigned the backup policy associated with the matching category and when there is no match, the virtual machine 785 is identified as uncategorized, as described above with respect to FIG. 4 .
- the process 1100 identifies the uncategorized virtual machines 785 as unprotected. Since the virtual machines 785 with no assigned backup policy do not fit into any of the criteria associated with pre-defined backup policies, they are not assigned a backup policy associated with any of the auto-discovery rules. Consequently, the data from these virtual machines is not backed up by the information management system 750 .
- the process 1100 notifies the system or network administrator of the unprotected virtual machines 785 .
- the process 1100 notifies the administrator through a graphical user interface.
- FIG. 7 illustrates a flow chart of an exemplary embodiment of a process 1200 to protect unprotected virtual machines 785 usable by the information management system 750 .
- the process 1200 identifies the virtual machine backup policies of the virtual machines 785 in the information management system 750 .
- the process 1200 identifies which virtual machines 785 in the information management system 750 are not assigned a backup policy by comparing the list of virtual machines in the system 750 with the list of machines in the system 750 having designated backup policies, as described above with respect to FIG. 3 .
- the process 1200 automatically categorizes unprotected virtual machines 785 .
- the process 1200 automatically compares the backup characteristics of the virtual machines 785 without designated backup policies to the criteria associated with categories of auto-discovery rules such that when there is a match, the virtual machine is assigned the backup policy associated with the matching category and when there is no match, the virtual machine 785 is identified as uncategorized, as described above with respect to FIG. 4 .
- the process 1200 identifies the virtual machines with no designated backup policy and which do not fit into any of the categories of auto-discovery rules as belonging to the unprotected category, as described above with respect to FIG. 6 .
- the process 1200 retrieves a default backup policy.
- the process 1200 retrieves a default backup policy from the policies stored in the management database 260 . Since the system 750 does not have the information to automatically assign a backup policy tailored to the usage, location, and the like of the unprotected virtual machine 785 , the process 1200 uses a previously defined catch-all backup policy.
- a default backup policy may specify which volume or secondary storage device 215 to store the backup data, a minimal bi-weekly recovery period, and the like.
- the process 1200 automatically applies the backup default policy to the unprotected virtual machines 785 .
- the process 1200 associates the default backup policy with the virtual device 785 and stores an indication of the association in the management database 260 .
- the process 1200 automatically backs up the virtual machines 785 with the default backup policy.
- virtual machines 785 which were never assigned a backup policy by system administrators and do not meet any of the criteria for pre-defined backup policies are automatically protected.
- Conditional language such as, among others, “can,” “could,” “might,” or “may,” unless specifically stated otherwise, or otherwise understood within the context as used, is generally intended to convey that certain embodiments include, while other embodiments do not include, certain features, elements and/or steps. Thus, such conditional language is not generally intended to imply that features, elements and/or steps are in any way required for one or more embodiments or that one or more embodiments necessarily include logic for deciding, with or without user input or prompting, whether these features, elements and/or steps are included or are to be performed in any particular embodiment.
- acts, events, or functions of any of the algorithms described herein can be performed in a different sequence, can be added, merged, or left out all together (e.g., not all described acts or events are necessary for the practice of the algorithms).
- acts or events can be performed concurrently, e.g., through multi-threaded processing, interrupt processing, or multiple processors or processor cores or on other parallel architectures, rather than sequentially.
- Systems and modules described herein may comprise software, firmware, hardware, or any combination(s) of software, firmware, or hardware suitable for the purposes described herein.
- Software and other modules may reside on servers, workstations, personal computers, computerized tablets, PDAs, and other devices suitable for the purposes described herein.
- Software and other modules may be accessible via local memory, via a network, via a browser, or via other means suitable for the purposes described herein.
- Data structures described herein may comprise computer files, variables, programming arrays, programming structures, or any electronic information storage schemes or methods, or any combinations thereof, suitable for the purposes described herein.
- User interface elements described herein may comprise elements from graphical user interfaces, command line interfaces, and other suitable interfaces.
- processing of the various components of the illustrated systems can be distributed across multiple machines, networks, and other computing resources.
- two or more components of a system can be combined into fewer components.
- Various components of the illustrated systems can be implemented in one or more virtual machines, rather than in dedicated computer hardware systems.
- the data repositories shown can represent physical and/or logical data storage, including, for example, storage area networks or other distributed storage systems.
- the connections between the components shown represent possible paths of data flow, rather than actual connections between hardware. While some examples of possible connections are shown, any of the subset of the components shown can communicate with any other subset of components in various implementations.
- Embodiments are also described above with reference to flow chart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products.
- Each block of the flow chart illustrations and/or block diagrams, and combinations of blocks in the flow chart illustrations and/or block diagrams may be implemented by computer program instructions.
- Such instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the acts specified in the flow chart and/or block diagram block or blocks.
- These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to operate in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the acts specified in the flow chart and/or block diagram block or blocks.
- the computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operations to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the acts specified in the flow chart and/or block diagram block or blocks.
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Abstract
Description
- Any and all applications for which a foreign or domestic priority claim is identified in the Application Data Sheet as filed with the present application are hereby incorporated by reference under 37 CFR 1.57.
- Businesses worldwide recognize the commercial value of their data and seek reliable, cost-effective ways to protect the information stored on their computer networks while minimizing impact on productivity. Protecting information is often part of a routine process that is performed within an organization.
- A company might back up critical computing systems such as databases, file servers, web servers, and so on as part of a daily, weekly, or monthly maintenance schedule. The company may similarly protect computing systems used by each of its employees, such as those used by an accounting department, marketing department, engineering department, and so forth.
- Given the rapidly expanding volume of data under management, companies also continue to seek innovative techniques for managing data growth, in addition to protecting data. For instance, companies often implement migration techniques for moving data to lower cost storage over time and data reduction techniques for reducing redundant data, pruning lower priority data, etc.
- Enterprises also increasingly view their stored data as a valuable asset. Along these lines, customers are looking for solutions that not only protect and manage, but also leverage their data. For instance, solutions providing data analysis capabilities, improved data presentation and access features, and the like, are in increasing demand.
- Increasingly, companies are turning to virtualized computing devices to store, manipulate, and display the information that is constantly subject to change. The term virtualization in the computing arts can refer to the creation of a virtual instance of an entity (e.g., a hardware platform, operating system, storage device or network resource, etc.) that behaves like a physical instance. For instance, a virtual machine can be a software representation of a physical machine. Companies currently use virtualization for a variety of purposes, such as to reduce the number of physical servers or other computers by instantiating multiple virtual machines on a single physical host computer. In this manner, virtualization can be used to centralize administrative tasks while improving scalability and work loads, and can be an important tool for maximizing hardware utilization.
- As such, enterprises are generating and backing up or otherwise protecting increasing volumes of data, presenting significant data management challenges.
- The benefits of server virtualization are compelling and are driving the transition to large scale virtual server deployments. From the cost savings recognized through server consolidation or business flexibility and agility inherent in cloud architectures, virtualization technologies are being rapidly deployed.
- However, virtual server deployment is having unintended consequences for data protection. Virtual machines are easy to create. They can pop up over night with no warning and little communication with network administrators. Network administrators should know how many virtual machines are running on their network, which physical machines are hosting them, where their storage is located, what software is associated with them, why they were originally created, and who created them. But often they do not. This leads to virtual machines with no designated periodic backup or, in other words, unprotected virtual machines. If the data associated with these unprotected virtual machines is not backed up, it cannot be restored if needed, leading to system failures.
- Virtual machines have the same support, security, and compliance issues as physical machines. Traditional backup tools require manual intervention to configure a backup schedule and policy for each newly created virtual machine. Not only is this process time consuming in terms of manual configuration, but also requires time to determine where each virtual machine came from, and then determine to most appropriate backup schedule to apply to each virtual machine. Virtualization sprawl occurs when the number of virtual machines on a network reaches a point where the administrator can no longer manage them effectively.
- Due to the above challenges, it can be important to provide efficient, user-friendly tools for facilitating effective backup policies and for providing access to backup data. Systems and methods are provided herein to automatically discover and protect unprotected virtual machines.
- Certain embodiments relate to a method to categorize unprotected virtual machines in a data management system. The method comprises automatically identifying with one or more computer processors one or more virtual machines not associated with a backup policy in a data management system, automatically retrieving with one or more computer processors backup characteristics of each virtual machine not associated with a backup policy, automatically retrieving with one or more computer processors one or more categories, each category associated with criteria and a backup policy, automatically comparing with one or more computer processors the backup characteristics of each virtual machine not associated with a backup policy with the criteria associated with each category, and when the backup characteristics of the virtual machine match the criteria associated with the category, automatically applying with one or more computer processors the associated backup policy to the virtual machine.
- According to certain embodiments, a system to categorize unprotected virtual machines in an information management cell is disclosed. The system comprises computer hardware including one or more computer processors, and computer-readable storage comprising computer-readable instructions that, when executed by the one or more processors, cause the computer hardware to perform operations defined by the computer-readable instructions. The computer-readable instructions are configured to automatically identify one or more virtual machines not associated with a backup policy in an information management cell, automatically retrieve backup characteristics of each virtual machine not associated with a backup policy, automatically retrieve one or more categories, each category associated with criteria and a backup policy, automatically compare the backup characteristics of each virtual machine not associated with a backup policy with the criteria associated with each category, and when the backup characteristics of the virtual machine match the criteria associated with the category, automatically apply the associated backup policy to the virtual machine.
-
FIG. 1A is a block diagram illustrating an exemplary information management system. -
FIG. 1B is a detailed view of a primary storage device, a secondary storage device, and some examples of primary data and secondary copy data. -
FIG. 1C is a block diagram of an exemplary information management system including a storage manager, one or more data agents, and one or more media agents. -
FIG. 1D is a block diagram illustrating a scalable information management system. -
FIG. 1E illustrates certain secondary copy operations according to an exemplary storage policy. -
FIG. 2 is a block diagram illustrating another exemplary information management cell. -
FIG. 3 illustrates a flow chart of an exemplary embodiment of a process to identify virtual machine backup policies usable by the system ofFIG. 2 . -
FIG. 4 illustrates a flow chart of an exemplary embodiment of a process to automatically categorize unprotected virtual machines usable by the system ofFIG. 2 . -
FIG. 5 is an exemplary screen shot of available auto-discovery rules usable by the system ofFIG. 2 . -
FIG. 6 illustrates a flow chart of an exemplary embodiment of a process to identify an unprotected category of virtual machines usable by the system ofFIG. 2 . -
FIG. 7 illustrates a flow chart of an exemplary embodiment of a process to protect unprotected virtual machines usable by the system ofFIG. 2 . - Systems and methods are described herein to automatically discover and protect unprotected virtual machines. Further examples of systems and methods for 1) identifying virtual machine backup policies; 2) automatically categorizing unprotected virtual machines; 3) identifying uncategorized virtual machines as unprotected; and 4) protecting unprotected virtual machines are described below with respect to
FIGS. 2-7 . - Moreover, it will be appreciated that data generated by information management systems such as those that will now be described with respect to
FIGS. 1A-1E can be protected as well. And, as will be described, the componentry for implementing secondary data operations can be incorporated into such systems. - With the increasing importance of protecting and leveraging data, organizations simply cannot afford to take the risk of losing critical data. Moreover, runaway data growth and other modern realities make protecting and managing data an increasingly difficult task. There is therefore a need for efficient, powerful, and user-friendly solutions for protecting and managing data.
- Depending on the size of the organization, there are typically many data production sources which are under the purview of tens, hundreds, or even thousands of employees or other individuals. In the past, individual employees were sometimes responsible for managing and protecting their data. A patchwork of hardware and software point solutions have been applied in other cases. These solutions were often provided by different vendors and had limited or no interoperability.
- Certain embodiments described herein provide systems and methods capable of addressing these and other shortcomings of prior approaches by implementing unified, organization-wide information management.
FIG. 1A shows one suchinformation management system 100, which generally includes combinations of hardware and software configured to protect and manage data and metadata generated and used by the various computing devices in theinformation management system 100. - The organization which employs the
information management system 100 may be a corporation or other business entity, non-profit organization, educational institution, household, governmental agency, or the like. - Generally, the systems and associated components described herein may be compatible with and/or provide some or all of the functionality of the systems and corresponding components described in one or more of the following U.S. patents and patent application publications assigned to CommVault Systems, Inc., each of which is hereby incorporated in its entirety by reference herein:
-
- U.S. Pat. Pub. No. 2010/0332456, entitled “DATA OBJECT STORE AND SERVER FOR A CLOUD STORAGE ENVIRONMENT, INCLUDING DATA DEDUPLICATION AND DATA MANAGEMENT ACROSS MULTIPLE CLOUD STORAGE SITES”;
- U.S. Pat. No. 7,035,880, entitled “MODULAR BACKUP AND RETRIEVAL SYSTEM USED IN CONJUNCTION WITH A STORAGE AREA NETWORK”;
- U.S. Pat. No. 7,343,453, entitled “HIERARCHICAL SYSTEMS AND METHODS FOR PROVIDING A UNIFIED VIEW OF STORAGE INFORMATION”;
- U.S. Pat. No. 7,395,282, entitled “HIERARCHICAL BACKUP AND RETRIEVAL SYSTEM”;
- U.S. Pat. No. 7,246,207, entitled “SYSTEM AND METHOD FOR DYNAMICALLY PERFORMING STORAGE OPERATIONS IN A COMPUTER NETWORK”;
- U.S. Pat. No. 7,747,579, entitled “METABASE FOR FACILITATING DATA CLASSIFICATION”;
- U.S. Pat. No. 8,229,954, entitled “MANAGING COPIES OF DATA”;
- U.S. Pat. No. 7,617,262, entitled “SYSTEM AND METHODS FOR MONITORING APPLICATION DATA IN A DATA REPLICATION SYSTEM”;
- U.S. Pat. No. 7,529,782, entitled “SYSTEM AND METHODS FOR PERFORMING A SNAPSHOT AND FOR RESTORING DATA”;
- U.S. Pat. No. 8,230,195, entitled “SYSTEM AND METHOD FOR PERFORMING AUXILIARY STORAGE OPERATIONS”;
- U.S. Pat. Pub. No. 2012/0084268, entitled “CONTENT-ALIGNED, BLOCK-BASED DEDUPLICATION”;
- U.S. Pat. Pub. No. 2006/0224846, entitled “SYSTEM AND METHOD TO SUPPORT SINGLE INSTANCE STORAGE OPERATIONS”;
- U.S. Pat. Pub. No. 2009/0329534, entitled “APPLICATION-AWARE AND REMOTE SINGLE INSTANCE DATA MANAGEMENT”;
- U.S. Pat. Pub. No. 2012/0150826, entitled “DISTRIBUTED DEDUPLICATED STORAGE SYSTEM”;
- U.S. Pat. Pub. No. 2012/0150818, entitled “CLIENT-SIDE REPOSITORY IN A NETWORKED DEDUPLICATED STORAGE SYSTEM”;
- U.S. Pat. No. 8,170,995, entitled “METHOD AND SYSTEM FOR OFFLINE INDEXING OF CONTENT AND CLASSIFYING STORED DATA”; and
- U.S. Pat. No. 8,156,086, entitled “SYSTEMS AND METHODS FOR STORED DATA VERIFICATION”.
- The illustrated
information management system 100 includes one or moreclient computing device 102 having at least oneapplication 110 executing thereon, and one or moreprimary storage devices 104 storingprimary data 112. The client computing device(s) 102 and theprimary storage devices 104 may generally be referred to in some cases as aprimary storage subsystem 117. - Depending on the context, the term “information management system” can refer to generally all of the illustrated hardware and software components. Or, in other instances, the term may refer to only a subset of the illustrated components.
- For instance, in some cases
information management system 100 generally refers to a combination of specialized components used to protect, move, manage, manipulate and/or process data and metadata generated by theclient computing devices 102. However, the term may generally not refer to the underlying components that generate and/or store theprimary data 112, such as theclient computing devices 102 themselves, theapplications 110 and operating system residing on theclient computing devices 102, and theprimary storage devices 104. - As an example, “information management system” may sometimes refer only to one or more of the following components and corresponding data structures: storage managers, data agents, and media agents. These components will be described in further detail below.
- There are typically a variety of sources in an organization that produce data to be protected and managed. As just one illustrative example, in a corporate environment such data sources can be employee workstations and company servers such as a mail server, a web server, or the like. In the
information management system 100, the data generation sources include the one or moreclient computing devices 102. - The
client computing devices 102 may include, without limitation, one or more: workstations, personal computers, desktop computers, or other types of generally fixed computing systems such as mainframe computers and minicomputers. - The
client computing devices 102 can also include mobile or portable computing devices, such as one or more laptops, tablet computers, personal data assistants, mobile phones (such as smartphones), and other mobile or portable computing devices such as embedded computers, set top boxes, vehicle-mounted devices, wearable computers, etc. - In some cases, each
client computing device 102 is associated with one or more users and/or corresponding user accounts, of employees or other individuals. - The term “client computing device” is used herein because the
information management system 100 generally “serves” the data management and protection needs for the data generated by theclient computing devices 102. However, the use of this term does not imply that theclient computing devices 102 cannot be “servers” in other respects. For instance, a particularclient computing device 102 may act as a server with respect to other devices, such as otherclient computing devices 102. As just a few examples, theclient computing devices 102 can include mail servers, file servers, database servers, and web servers. - The
client computing devices 102 may additionally include virtualized and/or cloud computing resources. For instance, one or more virtual machines may be provided to the organization by a third-party cloud service vendor. Or, in some embodiments, theclient computing devices 102 include one or more virtual machine(s) running on a virtual machine host computing device operated by the organization. As one example, the organization may use one virtual machine as a database server and another virtual machine as a mail server. A virtual machine manager (VMM) (e.g., a Hypervisor) may manage the virtual machines, and reside and execute on the virtual machine host computing device. - Each
client computing device 102 may have one or more applications 110 (e.g., software applications) executing thereon which generate and manipulate the data that is to be protected from loss. - The
applications 110 generally facilitate the operations of an organization (or multiple affiliated organizations), and can include, without limitation, mail server applications (e.g., Microsoft Exchange Server), file server applications, mail client applications (e.g., Microsoft Exchange Client), database applications (e.g., SQL, Oracle, SAP, Lotus Notes Database), word processing applications (e.g., Microsoft Word), spreadsheet applications, financial applications, presentation applications, browser applications, mobile applications, entertainment applications, and so on. - The
applications 110 can include at least one operating system (e.g., Microsoft Windows, Mac OS X, iOS, IBM z/OS, Linux, other Unix-based operating systems, etc.), which may support one or more file systems and host theother applications 110. - As shown, the
client computing devices 102 and other components in theinformation management system 100 can be connected to one another via one ormore communication pathways 114. Thecommunication pathways 114 can include one or more networks or other connection types including as any of following, without limitation: the Internet, a wide area network (WAN), a local area network (LAN), a Storage Area Network (SAN), a Fibre Channel connection, a Small Computer System Interface (SCSI) connection, a virtual private network (VPN), a token ring or TCP/IP based network, an intranet network, a point-to-point link, a cellular network, a wireless data transmission system, a two-way cable system, an interactive kiosk network, a satellite network, a broadband network, a baseband network, other appropriate wired, wireless, or partially wired/wireless computer or telecommunications networks, combinations of the same or the like. Thecommunication pathways 114 in some cases may also include application programming interfaces (APIs) including, e.g., cloud service provider APIs, virtual machine management APIs, and hosted service provider APIs. -
Primary data 112 according to some embodiments is production data or other “live” data generated by the operating system andother applications 110 residing on aclient computing device 102. Theprimary data 112 is stored on the primary storage device(s) 104 and is organized via a file system supported by theclient computing device 102. For instance, the client computing device(s) 102 andcorresponding applications 110 may create, access, modify, write, delete, and otherwise useprimary data 112. -
Primary data 112 is generally in the native format of thesource application 110. According to certain aspects,primary data 112 is an initial or first (e.g., created before any other copies or before at least one other copy) stored copy of data generated by thesource application 110.Primary data 112 in some cases is created substantially directly from data generated by thecorresponding source applications 110. - The
primary data 112 may sometimes be referred to as a “primary copy” in the sense that it is a discrete set of data. However, the use of this term does not necessarily imply that the “primary copy” is a copy in the sense that it was copied or otherwise derived from another stored version. - The
primary storage devices 104 storing theprimary data 112 may be relatively fast and/or expensive (e.g., a disk drive, a hard-disk array, solid state memory, etc.). In addition,primary data 112 may be intended for relatively short term retention (e.g., several hours, days, or weeks). - According to some embodiments, the
client computing device 102 can accessprimary data 112 from theprimary storage device 104 by making conventional file system calls via the operating system.Primary data 112 representing files may include structured data (e.g., database files), unstructured data (e.g., documents), and/or semi-structured data. Some specific examples are described below with respect toFIG. 1B . - It can be useful in performing certain tasks to break the
primary data 112 up into units of different granularities. In general,primary data 112 can include files, directories, file system volumes, data blocks, extents, or any other types or granularities of data objects. As used herein, a “data object” can refer to both (1) any file that is currently addressable by a file system or that was previously addressable by the file system (e.g., an archive file) and (2) a subset of such a file. - As will be described in further detail, it can also be useful in performing certain functions of the
information management system 100 to access and modify metadata within theprimary data 112. Metadata generally includes information about data objects or characteristics associated with the data objects. - Metadata can include, without limitation, one or more of the following: the data owner (e.g., the client or user that generates the data), the last modified time (e.g., the time of the most recent modification of the data object), a data object name (e.g., a file name), a data object size (e.g., a number of bytes of data), information about the content (e.g., an indication as to the existence of a particular search term), to/from information for email (e.g., an email sender, recipient, etc.), creation date, file type (e.g., format or application type), last accessed time, application type (e.g., type of application that generated the data object), location/network (e.g., a current, past or future location of the data object and network pathways to/from the data object), frequency of change (e.g., a period in which the data object is modified), business unit (e.g., a group or department that generates, manages or is otherwise associated with the data object), and aging information (e.g., a schedule, such as a time period, in which the data object is migrated to secondary or long term storage), boot sectors, partition layouts, file location within a file folder directory structure, user permissions, owners, groups, access control lists [ACLs]), system metadata (e.g., registry information), combinations of the same or the like.
- In addition to metadata generated by or related to file systems and operating systems, some of the
applications 110 maintain indices of metadata for data objects, e.g., metadata associated with individual email messages. Thus, each data object may be associated with corresponding metadata. The use of metadata to perform classification and other functions is described in greater detail below. - Each of the
client computing devices 102 are associated with and/or in communication with one or more of theprimary storage devices 104 storing correspondingprimary data 112. Aclient computing device 102 may be considered to be “associated with” or “in communication with” aprimary storage device 104 if it is capable of one or more of: storing data to theprimary storage device 104, retrieving data from theprimary storage device 104, and modifying data retrieved from aprimary storage device 104. - The
primary storage devices 104 can include, without limitation, disk drives, hard-disk arrays, semiconductor memory (e.g., solid state drives), and network attached storage (NAS) devices. In some cases, theprimary storage devices 104 form part of a distributed file system. Theprimary storage devices 104 may have relatively fast I/O times and/or are relatively expensive in comparison to thesecondary storage devices 108. For example, theinformation management system 100 may generally regularly access data and metadata stored onprimary storage devices 104, whereas data and metadata stored on thesecondary storage devices 108 is accessed relatively less frequently. - In some cases, each
primary storage device 104 is dedicated to an associatedclient computing devices 102. For instance, aprimary storage device 104 in one embodiment is a local disk drive of a correspondingclient computing device 102. In other cases, one or moreprimary storage devices 104 can be shared by multipleclient computing devices 102. As one example, aprimary storage device 104 can be a disk array shared by a group ofclient computing devices 102, such as one of the following types of disk arrays: EMC Clariion, EMC Symmetrix, EMC Celerra, Dell EqualLogic, IBM XIV, NetApp FAS, HP EVA, and HP 3PAR. - The
information management system 100 may also include hosted services (not shown), which may be hosted in some cases by an entity other than the organization that employs the other components of theinformation management system 100. For instance, the hosted services may be provided by various online service providers to the organization. Such service providers can provide services including social networking services, hosted email services, or hosted productivity applications or other hosted applications). - Hosted services may include software-as-a-service (SaaS), platform-as-a-service (PaaS), application service providers (ASPs), cloud services, or other mechanisms for delivering functionality via a network. As it provides services to users, each hosted service may generate additional data and metadata under management of the
information management system 100, e.g., asprimary data 112. In some cases, the hosted services may be accessed using one of theapplications 110. As an example, a hosted mail service may be accessed via browser running on aclient computing device 102. - The
primary data 112 stored on theprimary storage devices 104 may be compromised in some cases, such as when an employee deliberately or accidentally deletes or overwritesprimary data 112 during their normal course of work. Or theprimary storage devices 104 can be damaged or otherwise corrupted. - For recovery and/or regulatory compliance purposes, it is therefore useful to generate copies of the
primary data 112. Accordingly, theinformation management system 100 includes one or more secondarystorage computing devices 106 and one or moresecondary storage devices 108 configured to create and store one or moresecondary copies 116 of theprimary data 112 and associated metadata. The secondarystorage computing devices 106 and thesecondary storage devices 108 may be referred to in some cases as asecondary storage subsystem 118. - Creation of
secondary copies 116 can help meet information management goals, such as: restoring data and/or metadata if an original version (e.g., of primary data 112) is lost (e.g., by deletion, corruption, or disaster); allowing point-in-time recovery; complying with regulatory data retention and electronic discovery (e-discovery) requirements; reducing utilized storage capacity; facilitating organization and search of data; improving user access to data files across multiple computing devices and/or hosted services; and implementing data retention policies. - Types of secondary copy operations can include, without limitation, backup operations, archive operations, snapshot operations, replication operations (e.g., continuous data replication [CDR]), data retention policies such as or information lifecycle management and hierarchical storage management operations, and the like. These specific types operations are discussed in greater detail below.
- Regardless of the type of secondary copy operation, the
client computing devices 102 access or receiveprimary data 112 and communicate the data, e.g., over thecommunication pathways 114, for storage in the secondary storage device(s) 108. - A
secondary copy 116 can comprise a separate stored copy of application data that is derived from one or more earlier created, stored copies (e.g., derived fromprimary data 112 or another secondary copy 116).Secondary copies 116 can include point-in-time data, and may be intended for relatively long-term retention (e.g., weeks, months or years), before some or all of the data is moved to other storage or is discarded. - In some cases, a
secondary copy 116 is a copy of application data created and stored subsequent to at least one other stored instance (e.g., subsequent to correspondingprimary data 112 or to another secondary copy 116), in a different storage device than at least one previous stored copy, and/or remotely from at least one previous stored copy.Secondary copies 116 may be stored in relatively slow and/or low cost storage (e.g., magnetic tape). Asecondary copy 116 may be stored in a backup or archive format, or in some other format different than the native source application format or other primary data format. - In some cases,
secondary copies 116 are indexed so users can browse and restore at another point in time. After creation of asecondary copy 116 representative of certainprimary data 112, a pointer or other location indicia (e.g., a stub) may be placed inprimary data 112, or be otherwise associated withprimary data 112 to indicate the current location on the secondary storage device(s) 108. - Since an instance a data object or metadata in
primary data 112 may change over time as it is modified by an application 110 (or hosted service or the operating system), theinformation management system 100 may create and manage multiplesecondary copies 116 of a particular data object or metadata, each representing the state of the data object inprimary data 112 at a particular point in time. Moreover, since an instance of a data object inprimary data 112 may eventually be deleted from theprimary storage device 104 and the file system, theinformation management system 100 may continue to manage point-in-time representations of that data object, even though the instance inprimary data 112 no longer exists. - For virtualized computing devices the operating system and
other applications 110 of the client computing device(s) 102 may execute within or under the management of virtualization software (e.g., a VMM), and the primary storage device(s) 104 may comprise a virtual disk created on a physical storage device. Theinformation management system 100 may createsecondary copies 116 of the files or other data objects in a virtual disk file and/orsecondary copies 116 of the entire virtual disk file itself (e.g., of an entire .vmdk file). -
Secondary copies 116 may be distinguished from correspondingprimary data 112 in a variety of ways, some of which will now be described. First, as discussed,secondary copies 116 can be stored in a different format (e.g., backup, archive, or other non-native format) thanprimary data 112. For this or other reasons,secondary copies 116 may not be directly useable by theapplications 110 of theclient computing device 102, e.g., via standard system calls or otherwise without modification, processing, or other intervention by theinformation management system 100. -
Secondary copies 116 are also often stored on asecondary storage device 108 that is inaccessible to theapplications 110 running on the client computing devices 102 (and/or hosted services). Somesecondary copies 116 may be “offline copies,” in that they are not readily available (e.g. not mounted to tape or disk). Offline copies can include copies of data that theinformation management system 100 can access without human intervention (e.g. tapes within an automated tape library, but not yet mounted in a drive), and copies that theinformation management system 100 can access only with at least some human intervention (e.g. tapes located at an offsite storage site). - The
secondary storage devices 108 can include any suitable type of storage device such as, without limitation, one or more tape libraries, disk drives or other magnetic, non-tape storage devices, optical media storage devices, solid state storage devices, NAS devices, combinations of the same, and the like. In some cases, thesecondary storage devices 108 are provided in a cloud (e.g. a private cloud or one operated by a third-party vendor). - The secondary storage device(s) 108 in some cases comprises a disk array or a portion thereof. In some cases, a single storage device (e.g., a disk array) is used for storing both
primary data 112 and at least somesecondary copies 116. In one example, a disk array capable of performing hardware snapshots storesprimary data 112 and creates and stores hardware snapshots of theprimary data 112 assecondary copies 116. - Creating secondary copies can be a challenging task. For instance, there can be hundreds or thousands of
client computing devices 102 continually generating large volumes ofprimary data 112 to be protected. Also, there can be significant overhead involved in the creation ofsecondary copies 116. Moreover,secondary storage devices 108 may be special purpose components, and interacting with them can require specialized intelligence. - In some cases, the
client computing devices 102 interact directly with thesecondary storage device 108 to create thesecondary copies 116. However, in view of the factors described above, this approach can negatively impact the ability of theclient computing devices 102 to serve theapplications 110 and produceprimary data 112. Further, theclient computing devices 102 may not be optimized for interaction with thesecondary storage devices 108. - Thus, in some embodiments, the
information management system 100 includes one or more software and/or hardware components which generally act as intermediaries between theclient computing devices 102 and thesecondary storage devices 108. In addition to off-loading certain responsibilities from theclient computing devices 102, these intermediary components can provide other benefits. For instance, as discussed further below with respect toFIG. 1D , distributing some of the work involved in creatingsecondary copies 116 can enhance scalability. - The intermediary components can include one or more secondary
storage computing devices 106 as shown inFIG. 1A and/or one or more media agents, which can be software modules residing on corresponding secondary storage computing devices 106 (or other appropriate devices). Media agents are discussed below (e.g., with respect toFIGS. 1C-1E ). - The secondary storage computing device(s) 106 can comprise any appropriate type of computing device and can include, without limitation, any of the types of fixed and portable computing devices described above with respect to the
client computing devices 102. In some cases, the secondary storage computing device(s) 106 include specialized hardware and/or software componentry for interacting with thesecondary storage devices 108. - To create a
secondary copy 116, theclient computing device 102 communicates theprimary data 112 to be copied (or a processed version thereof) to the designated secondarystorage computing device 106, via thecommunication pathway 114. The secondarystorage computing device 106 in turn conveys the received data (or a processed version thereof) to thesecondary storage device 108. In some such configurations, thecommunication pathway 114 between theclient computing device 102 and the secondarystorage computing device 106 comprises a portion of a LAN, WAN or SAN. In other cases, at least someclient computing devices 102 communicate directly with the secondary storage devices 108 (e.g., via Fibre Channel or SCSI connections). -
FIG. 1B is a detailed view showing some specific examples of primary data stored on the primary storage device(s) 104 and secondary copy data stored on the secondary storage device(s) 108, with other components in the system removed for the purposes of illustration. Stored on the primary storage device(s) 104 are primary data objects includingword processing documents 119A-B,spreadsheets 120,presentation documents 122, video files 124, image files 126, email mailboxes 128 (andcorresponding email messages 129A-C), html/xml or other types of markup language files 130,databases 132 and corresponding tables 133A-133C). - Some or all primary data objects are associated with a primary copy of object metadata (e.g., “Meta1-11”), which may be file system metadata and/or application specific metadata. Stored on the secondary storage device(s) 108 are secondary copy objects 134A-C which may include copies of or otherwise represent corresponding primary data objects and metadata.
- As shown, the secondary copy objects 134A-C can individually represent more than one primary data object. For example, secondary copy data object 134A represents three separate primary data objects 133C, 122 and 129C (represented as 133C′, 122′ and 129C′, respectively). Moreover, as indicated by the prime mark (′), a secondary copy object may store a representation of a primary data object or metadata differently than the original format, e.g., in a compressed, encrypted, deduplicated, or other modified format.
- The
information management system 100 can incorporate a variety of different hardware and software components, which can in turn be organized with respect to one another in many different configurations, depending on the embodiment. There are critical design choices involved in specifying the functional responsibilities of the components and the role of each component in theinformation management system 100. For instance, as will be discussed, such design choices can impact performance as well as the adaptability of theinformation management system 100 to data growth or other changing circumstances. -
FIG. 1C shows aninformation management system 100 designed according to these considerations and which includes: a central storage orinformation manager 140 configured to perform certain control functions, one ormore data agents 142 executing on the client computing device(s) 102 configured to processprimary data 112, and one ormore media agents 144 executing on the one or more secondarystorage computing devices 106 for performing tasks involving thesecondary storage devices 108. - Storage Manager
- As noted, the number of components in the
information management system 100 and the amount of data under management can be quite large. Managing the components and data is therefore a significant task, and a task that can grow in an often unpredictable fashion as the quantity of components and data scale to meet the needs of the organization. - For these and other reasons, according to certain embodiments, responsibility for controlling the
information management system 100, or at least a significant portion of that responsibility, is allocated to thestorage manager 140. - By distributing control functionality in this manner, the
storage manager 140 can be adapted independently according to changing circumstances. Moreover, a host computing device can be selected to best suit the functions of thestorage manager 140. These and other advantages are described in further detail below with respect toFIG. 1D . - The
storage manager 140 may be a software module or other application. The storage manager generally initiates, coordinates and/or controls storage and other information management operations performed by theinformation management system 100, e.g., to protect and control theprimary data 112 andsecondary copies 116 of data and metadata. - As shown by the dashed, arrowed lines, the
storage manager 140 may communicate with and/or control some or all elements of theinformation management system 100, such as thedata agents 142 andmedia agents 144. Thus, in certain embodiments, control information originates from thestorage manager 140, whereas payload data and metadata is generally communicated between thedata agents 142 and the media agents 144 (or otherwise between the client computing device(s) 102 and the secondary storage computing device(s) 106), e.g., at the direction of thestorage manager 140. In other embodiments, some information management operations are controlled by other components in the information management system 100 (e.g., the media agent(s) 144 or data agent(s) 142), instead of or in combination with thestorage manager 140. - According to certain embodiments, the storage manager provides one or more of the following functions:
-
- initiating execution of secondary copy operations;
- managing
secondary storage devices 108 and inventory/capacity of the same; - allocating
secondary storage devices 108 for secondary storage operations; - monitoring completion of and providing status reporting related to secondary storage operations;
- tracking age information relating to
secondary copies 116,secondary storage devices 108, and comparing the age information against retention guidelines; - tracking movement of data within the
information management system 100; - tracking logical associations between components in the
information management system 100; - protecting metadata associated with the
information management system 100; and - implementing operations management functionality.
- The
storage manager 140 may maintain adatabase 146 of management-related data andinformation management policies 148. Thedatabase 146 may include amanagement index 150 or other data structure that stores logical associations between components of the system, user preferences and/or profiles (e.g., preferences regarding encryption, compression, or deduplication of primary or secondary copy data, preferences regarding the scheduling, type, or other aspects of primary or secondary copy or other operations, mappings of particular information management users or user accounts to certain computing devices or other components, etc.), management tasks, media containerization, or other useful data. For example, thestorage manager 140 may use theindex 150 to track logical associations betweenmedia agents 144 andsecondary storage devices 108 and/or movement of data fromprimary storage devices 104 tosecondary storage devices 108. - Administrators and other employees may be able to manually configure and initiate certain information management operations on an individual basis. But while this may be acceptable for some recovery operations or other relatively less frequent tasks, it is often not workable for implementing on-going organization-wide data protection and management.
- Thus, the
information management system 100 may utilizeinformation management policies 148 for specifying and executing information management operations (e.g., on an automated basis). Generally, aninformation management policy 148 can include a data structure or other information source that specifies a set of parameters (e.g., criteria and rules) associated with storage or other information management operations. - The
storage manager database 146 may maintain theinformation management policies 148 and associated data, although theinformation management policies 148 can be stored in any appropriate location. For instance, a storage policy may be stored as metadata in amedia agent database 152 or in a secondary storage device 108 (e.g., as an archive copy) for use in restore operations or other information management operations, depending on the embodiment.Information management policies 148 are described further below. - According to certain embodiments, the
storage manager database 146 comprises a relational database (e.g., an SQL database) for tracking metadata, such as metadata associated with secondary copy operations (e.g., whatclient computing devices 102 and corresponding data were protected). This and other metadata may additionally be stored in other locations, such as at the secondarystorage computing devices 106 or on thesecondary storage devices 108, allowing data recovery without the use of thestorage manager 140. - As shown, the
storage manager 140 may include ajobs agent 156, auser interface 158, and amanagement agent 154, all of which may be implemented as interconnected software modules or application programs. - The
jobs agent 156 in some embodiments initiates, controls, and/or monitors the status of some or all storage or other information management operations previously performed, currently being performed, or scheduled to be performed by theinformation management system 100. For instance, thejobs agent 156 may accessinformation management policies 148 to determine when and how to initiate and control secondary copy and other information management operations, as will be discussed further. - The
user interface 158 may include information processing and display software, such as a graphical user interface (“GUI”), an application program interface (“API”), or other interactive interface through which users and system processes can retrieve information about the status of information management operations (e.g., storage operations) or issue instructions to theinformation management system 100 and its constituent components. - The
storage manager 140 may also track information that permits it to select, designate, or otherwise identify content indices, deduplication databases, or similar databases or resources or data sets within its information management cell (or another cell) to be searched in response to certain queries. Such queries may be entered by the user via interaction with theuser interface 158. - Via the
user interface 158, users may optionally issue instructions to the components in theinformation management system 100 regarding performance of storage and recovery operations. For example, a user may modify a schedule concerning the number of pending secondary copy operations. As another example, a user may employ the GUI to view the status of pending storage operations or to monitor the status of certain components in the information management system 100 (e.g., the amount of capacity left in a storage device). - In general, the
management agent 154 allows multipleinformation management systems 100 to communicate with one another. For example, theinformation management system 100 in some cases may be one information management subsystem or “cell” of a network of multiple cells adjacent to one another or otherwise logically related in a WAN or LAN. With this arrangement, the cells may be connected to one another throughrespective management agents 154. - For instance, the
management agent 154 can provide thestorage manager 140 with the ability to communicate with other components within the information management system 100 (and/or other cells within a larger information management system) via network protocols and application programming interfaces (“APIs”) including, e.g., HTTP, HTTPS, FTP, REST, virtualization software APIs, cloud service provider APIs, and hosted service provider APIs. Inter-cell communication and hierarchy is described in greater detail in U.S. Pat. No. 7,035,880, which is incorporated by reference herein. - Data Agents
- As discussed, a variety of different types of
applications 110 can reside on a givenclient computing device 102, including operating systems, database applications, e-mail applications, and virtual machines, just to name a few. And, as part of the as part of the process of creating and restoringsecondary copies 116, theclient computing devices 102 may be tasked with processing and preparing theprimary data 112 from these variousdifferent applications 110. Moreover, the nature of the processing/preparation can differ across clients and application types, e.g., due to inherent structural and formatting differences betweenapplications 110. - The one or more data agent(s) 142 are therefore advantageously configured in some embodiments to assist in the performance of information management operations based on the type of data that is being protected, at a client-specific and/or application-specific level.
- The
data agent 142 may be a software module or component that is generally responsible for managing, initiating, or otherwise assisting in the performance of information management operations. For instance, thedata agent 142 may take part in performing data storage operations such as the copying, archiving, migrating, replicating ofprimary data 112 stored in the primary storage device(s) 104. Thedata agent 142 may receive control information from thestorage manager 140, such as commands to transfer copies of data objects, metadata, and other payload data to themedia agents 144. - In some embodiments, a
data agent 142 may be distributed between theclient computing device 102 and storage manager 140 (and any other intermediate components) or may be deployed from a remote location or its functions approximated by a remote process that performs some or all of the functions ofdata agent 142. In addition, adata agent 142 may perform some functions provided by amedia agent 144, e.g., encryption and deduplication. - As indicated, each
data agent 142 may be specialized for aparticular application 110, and the system can employmultiple data agents 142, each of which may backup, migrate, and recover data associated with adifferent application 110. For instance, differentindividual data agents 142 may be designed to handle Microsoft Exchange data, Lotus Notes data, Microsoft Windows file system data, Microsoft Active Directory Objects data, SQL Server data, SharePoint data, Oracle database data, SAP database data, virtual machines and/or associated data, and other types of data. - A file system data agent, for example, may handle data files and/or other file system information. If a
client computing device 102 has two or more types of data, onedata agent 142 may be used for each data type to copy, archive, migrate, and restore theclient computing device 102 data. For example, to backup, migrate, and restore all of the data on a Microsoft Exchange server, theclient computing device 102 may use one Microsoft ExchangeMailbox data agent 142 to backup the Exchange mailboxes, one Microsoft ExchangeDatabase data agent 142 to backup the Exchange databases, one Microsoft Exchange PublicFolder data agent 142 to backup the Exchange Public Folders, and one Microsoft Windows FileSystem data agent 142 to backup the file system of theclient computing device 102. In such embodiments, thesedata agents 142 may be treated as fourseparate data agents 142 by even though they reside on the sameclient computing device 102. - Other embodiments may employ one or more
generic data agents 142 that can handle and process data from two or moredifferent applications 110, or that can handle and process multiple data types, instead of or in addition to usingspecialized data agents 142. For example, onegeneric data agent 142 may be used to back up, migrate and restore Microsoft Exchange Mailbox data and Microsoft Exchange Database data while another generic data agent may handle Microsoft Exchange Public Folder data and Microsoft Windows File System data. - Each
data agent 142 may be configured to access data and/or metadata stored in the primary storage device(s) 104 associated with thedata agent 142 and process the data as appropriate. For example, during a secondary copy operation, thedata agent 142 may arrange or assemble the data and metadata into one or more files having a certain format (e.g., a particular backup or archive format) before transferring the file(s) to amedia agent 144 or other component. The file(s) may include a list of files or other metadata. Eachdata agent 142 can also assist in restoring data or metadata toprimary storage devices 104 from asecondary copy 116. For instance, thedata agent 142 may operate in conjunction with thestorage manager 140 and one or more of themedia agents 144 to restore data from secondary storage device(s) 108. - Media Agents
- As indicated above with respect to
FIG. 1A , off-loading certain responsibilities from theclient computing devices 102 to intermediary components such as the media agent(s) 144 can provide a number of benefits including improvedclient computing device 102 operation, faster secondary copy operation performance, and enhanced scalability. As one specific example which will be discussed below in further detail, themedia agent 144 can act as a local cache of copied data and/or metadata that it has stored to the secondary storage device(s) 108, providing improved restore capabilities. - Generally speaking, a
media agent 144 may be implemented as a software module that manages, coordinates, and facilitates the transmission of data, as directed by thestorage manager 140, between aclient computing device 102 and one or moresecondary storage devices 108. Whereas thestorage manager 140 controls the operation of theinformation management system 100, themedia agent 144 generally provides a portal tosecondary storage devices 108. -
Media agents 144 can comprise logically and/or physically separate nodes in the information management system 100 (e.g., separate from theclient computing devices 102,storage manager 140, and/or secondary storage devices 108). In addition, eachmedia agent 144 may reside on a dedicated secondarystorage computing device 106 in some cases, while in other embodiments a plurality ofmedia agents 144 reside on the same secondarystorage computing device 106. - A media agent 144 (and corresponding media agent database 152) may be considered to be “associated with” a particular
secondary storage device 108 if thatmedia agent 144 is capable of one or more of: routing and/or storing data to the particularsecondary storage device 108, coordinating the routing and/or storing of data to the particularsecondary storage device 108, retrieving data from the particularsecondary storage device 108, and coordinating the retrieval of data from a particularsecondary storage device 108. - While media agent(s) 144 are generally associated with one or more
secondary storage devices 108, themedia agents 144 in certain embodiments are physically separate from thesecondary storage devices 108. For instance, themedia agents 144 may reside on secondarystorage computing devices 106 having different housings or packages than thesecondary storage devices 108. In one example, amedia agent 144 resides on a first server computer and is in communication with a secondary storage device(s) 108 residing in a separate, rack-mounted RAID-based system. - In operation, a
media agent 144 associated with a particularsecondary storage device 108 may instruct the secondary storage device 108 (e.g., a tape library) to use a robotic arm or other retrieval means to load or eject a certain storage media, and to subsequently archive, migrate, or retrieve data to or from that media, e.g., for the purpose of restoring the data to aclient computing device 102. Themedia agent 144 may communicate with asecondary storage device 108 via a suitable communications link, such as a SCSI or Fiber Channel link. - As shown, each
media agent 144 may maintain an associatedmedia agent database 152. Themedia agent database 152 may be stored in a disk or other storage device (not shown) that is local to the secondarystorage computing device 106 on which themedia agent 144 resides. In other cases, themedia agent database 152 is stored remotely from the secondarystorage computing device 106. - The
media agent database 152 can include, among other things, anindex 153 including data generated during secondary copy operations and other storage or information management operations. Theindex 153 provides amedia agent 144 or other component with a fast and efficient mechanism for locatingsecondary copies 116 or other data stored in thesecondary storage devices 108. In one configuration, astorage manager index 150 or other data structure may store data associating aclient computing device 102 with aparticular media agent 144 and/orsecondary storage device 108, as specified in a storage policy. Amedia agent index 153 or other data structure associated with theparticular media agent 144 may in turn include information about the stored data. - For instance, for each
secondary copy 116, theindex 153 may include metadata such as a list of the data objects (e.g., files/subdirectories, database objects, mailbox objects, etc.), a path to thesecondary copy 116 on the correspondingsecondary storage device 108, location information indicating where the data objects are stored in thesecondary storage device 108, when the data objects were created or modified, etc. Thus, theindex 153 includes metadata associated with thesecondary copies 116 that is readily available for use in storage operations and other activities without having to be first retrieved from thesecondary storage device 108. In yet further embodiments, some or all of the data in theindex 153 may instead or additionally be stored along with the data in asecondary storage device 108, e.g., with a copy of theindex 153. - Because the
index 153 maintained in thedatabase 152 may operate as a cache, it can also be referred to as an index cache. In such cases, information stored in theindex cache 153 typically comprises data that reflects certain particulars about storage operations that have occurred relatively recently. After some triggering event, such as after a certain period of time elapses, or theindex cache 153 reaches a particular size, theindex cache 153 may be copied or migrated to a secondary storage device(s) 108. This information may need to be retrieved and uploaded back into theindex cache 153 or otherwise restored to amedia agent 144 to facilitate retrieval of data from the secondary storage device(s) 108. In some embodiments, the cached information may include format or containerization information related to archives or other files stored on the storage device(s) 108. In this manner, theindex cache 153 allows for accelerated restores. - In some alternative embodiments the
media agent 144 generally acts as a coordinator or facilitator of storage operations betweenclient computing devices 102 and correspondingsecondary storage devices 108, but does not actually write the data to thesecondary storage device 108. For instance, the storage manager 140 (or the media agent 144) may instruct aclient computing device 102 andsecondary storage device 108 to communicate with one another directly. In such a case theclient computing device 102 transmits the data directly to thesecondary storage device 108 according to the received instructions, and vice versa. In some such cases, themedia agent 144 may still receive, process, and/or maintain metadata related to the storage operations. Moreover, in these embodiments, the payload data can flow through themedia agent 144 for the purposes of populating theindex cache 153 maintained in themedia agent database 152, but not for writing to thesecondary storage device 108. - The
media agent 144 and/or other components such as thestorage manager 140 may in some cases incorporate additional functionality, such as data classification, content indexing, deduplication, encryption, compression, and the like. Further details regarding these and other functions are described below. - Distributed, Scalable Architecture
- As described, certain functions of the
information management system 100 can be distributed amongst various physical and/or logical components in the system. For instance, one or more of thestorage manager 140,data agents 142, andmedia agents 144 may reside on computing devices that are physically separate from one another. This architecture can provide a number of benefits. - For instance, hardware and software design choices for each distributed component can be targeted to suit its particular function. The
secondary computing devices 106 on which themedia agents 144 reside can be tailored for interaction with associatedsecondary storage devices 108 and provide fast index cache operation, among other specific tasks. Similarly, the client computing device(s) 102 can be selected to effectively service theapplications 110 residing thereon, in order to efficiently produce and storeprimary data 112. - Moreover, in some cases, one or more of the individual components in the
information management system 100 can be distributed to multiple, separate computing devices. As one example, for large file systems where the amount of data stored in thestorage management database 146 is relatively large, themanagement database 146 may be migrated to or otherwise reside on a specialized database server (e.g., an SQL server) separate from a server that implements the other functions of thestorage manager 140. This configuration can provide added protection because thedatabase 146 can be protected with standard database utilities (e.g., SQL log shipping or database replication) independent from other functions of thestorage manager 140. Thedatabase 146 can be efficiently replicated to a remote site for use in the event of a disaster or other data loss incident at the primary site. Or thedatabase 146 can be replicated to another computing device within the same site, such as to a higher performance machine in the event that a storage manager host device can no longer service the needs of a growinginformation management system 100. - The distributed architecture also provides both scalability and efficient component utilization.
FIG. 1D shows an embodiment of theinformation management system 100 including a plurality ofclient computing devices 102 and associateddata agents 142 as well as a plurality of secondarystorage computing devices 106 and associatedmedia agents 144. - Additional components can be added or subtracted based on the evolving needs of the
information management system 100. For instance, depending on where bottlenecks are identified, administrators can add additionalclient computing devices 102, secondary storage devices 106 (and corresponding media agents 144), and/orsecondary storage devices 108. - Moreover, each
client computing device 102 in some embodiments can communicate with any of themedia agents 144, e.g., as directed by thestorage manager 140. And eachmedia agent 144 may be able to communicate with any of thesecondary storage devices 108, e.g., as directed by thestorage manager 140. Thus, operations can be routed to thesecondary storage devices 108 in a dynamic and highly flexible manner. Further examples of scalable systems capable of dynamic storage operations are provided in U.S. Pat. No. 7,246,207, which is incorporated by reference herein. - In alternative configurations, certain components are not distributed and may instead reside and execute on the same computing device. For example, in some embodiments one or
more data agents 142 and thestorage manager 140 reside on the sameclient computing device 102. In another embodiment, one ormore data agents 142 and one ormore media agents 144 reside on a single computing device. - In order to protect and leverage stored data, the
information management system 100 can be configured to perform a variety of information management operations. As will be described, these operations can generally include secondary copy and other data movement operations, processing and data manipulation operations, and management operations. - Data Movement Operations
- Data movement operations according to certain embodiments are generally operations that involve the copying or migration of data (e.g., payload data) between different locations in the
information management system 100. For example, data movement operations can include operations in which stored data is copied, migrated, or otherwise transferred from primary storage device(s) 104 to secondary storage device(s) 108, from secondary storage device(s) 108 to different secondary storage device(s) 108, or from primary storage device(s) 104 to different primary storage device(s) 104. - Data movement operations can include by way of example, backup operations, archive operations, information lifecycle management operations such as hierarchical storage management operations, replication operations (e.g., continuous data replication operations), snapshot operations, deduplication operations, single-instancing operations, auxiliary copy operations, and the like. As will be discussed, some of these operations involve the copying, migration or other movement of data, without actually creating multiple, distinct copies. Nonetheless, some or all of these operations are referred to as “copy” operations for simplicity.
- Backup Operations
- A backup operation creates a copy of
primary data 112 at a particular point in time. Each subsequent backup copy may be maintained independently of the first. Further, a backup copy in some embodiments is stored in a backup format. This can be in contrast to the version inprimary data 112 from which the backup copy is derived, and which may instead be stored in a native format of the source application(s) 110. In various cases, backup copies can be stored in a format in which the data is compressed, encrypted, deduplicated, and/or otherwise modified from the original application format. For example, a backup copy may be stored in a backup format that facilitates compression and/or efficient long-term storage. - Backup copies can have relatively long retention periods as compared to
primary data 112, and may be stored on media with slower retrieval times thanprimary data 112 and certain other types ofsecondary copies 116. On the other hand, backups may have relatively shorter retention periods than some other types ofsecondary copies 116, such as archive copies (described below). Backups may sometimes be stored at on offsite location. - Backup operations can include full, synthetic or incremental backups. A full backup in some embodiments is generally a complete image of the data to be protected. However, because full backup copies can consume a relatively large amount of storage, it can be useful to use a full backup copy as a baseline and only store changes relative to the full backup copy for subsequent backup copies.
- For instance, a differential backup operation (or cumulative incremental backup operation) tracks and stores changes that have occurred since the last full backup. Differential backups can grow quickly in size, but can provide relatively efficient restore times because a restore can be completed in some cases using only the full backup copy and the latest differential copy.
- An incremental backup operation generally tracks and stores changes since the most recent backup copy of any type, which can greatly reduce storage utilization. In some cases, however, restore times can be relatively long in comparison to full or differential backups because completing a restore operation may involve accessing a full backup in addition to multiple incremental backups.
- Any of the above types of backup operations can be at the file-level, e.g., where the
information management system 100 generally tracks changes to files at the file-level, and includes copies of files in the backup copy. In other cases, block-level backups are employed, where files are broken into constituent blocks, and changes are tracked at the block-level. Upon restore, theinformation management system 100 reassembles the blocks into files in a transparent fashion. - Far less data may actually be transferred and copied to the
secondary storage devices 108 during a block-level copy than during a file-level copy, resulting in faster execution times. However, when restoring a block-level copy, the process of locating constituent blocks can sometimes result in longer restore times as compared to file-level backups. Similar to backup operations, the other types of secondary copy operations described herein can also be implemented at either the file-level or the block-level. - Archive Operations
- Because backup operations generally involve maintaining a version of the copied data in
primary data 112 and also maintaining backup copies in secondary storage device(s) 108, they can consume significant storage capacity. To help reduce storage consumption, an archive operation according to certain embodiments creates asecondary copy 116 by both copying and removing source data. Or, seen another way, archive operations can involve moving some or all of the source data to the archive destination. Thus, data satisfying criteria for removal (e.g., data of a threshold age or size) from the source copy may be removed from source storage. Archive copies are sometimes stored in an archive format or other non-native application format. The source data may beprimary data 112 or asecondary copy 116, depending on the situation. As with backup copies, archive copies can be stored in a format in which the data is compressed, encrypted, deduplicated, and/or otherwise modified from the original application format. - In addition, archive copies may be retained for relatively long periods of time (e.g., years) and, in some cases, are never deleted. Archive copies are generally retained for longer periods of time than backup copies, for example. In certain embodiments, archive copies may be made and kept for extended periods in order to meet compliance regulations.
- Moreover, when
primary data 112 is archived, in some cases the archivedprimary data 112 or a portion thereof is deleted when creating the archive copy. Thus, archiving can serve the purpose of freeing up space in the primary storage device(s) 104. Similarly, when asecondary copy 116 is archived, thesecondary copy 116 may be deleted, and an archive copy can therefore serve the purpose of freeing up space in secondary storage device(s) 108. In contrast, source copies often remain intact when creating backup copies. - Snapshot Operations
- Snapshot operations can provide a relatively lightweight, efficient mechanism for protecting data. From an end-user viewpoint, a snapshot may be thought of as an “instant” image of the
primary data 112 at a given point in time. In one embodiment, a snapshot may generally capture the directory structure of an object inprimary data 112 such as a file or volume or other data set at a particular moment in time and may also preserve file attributes and contents. A snapshot in some cases is created relatively quickly, e.g., substantially instantly, using a minimum amount of file space, but may still function as a conventional file system backup. - A snapshot copy in many cases can be made quickly and without significantly impacting primary computing resources because large amounts of data need not be copied or moved. In some embodiments, a snapshot may exist as a virtual file system, parallel to the actual file system. Users in some cases gain read-only access to the record of files and directories of the snapshot. By electing to restore
primary data 112 from a snapshot taken at a given point in time, users may also return the current file system to the state of the file system that existed when the snapshot was taken. - Some types of snapshots do not actually create another physical copy of all the data as it existed at the particular point in time, but may simply create pointers that are able to map files and directories to specific memory locations (e.g., disk blocks) where the data resides, as it existed at the particular point in time. For example, a snapshot copy may include a set of pointers derived from the file system or an application. Each pointer points to a respective stored data block, so collectively, the set of pointers reflect the storage location and state of the data object (e.g., file(s) or volume(s) or data set(s)) at a particular point in time when the snapshot copy was created.
- In some embodiments, once a snapshot has been taken, subsequent changes to the file system typically do not overwrite the blocks in use at the time of the snapshot. Therefore, the initial snapshot may use only a small amount of disk space needed to record a mapping or other data structure representing or otherwise tracking the blocks that correspond to the current state of the file system. Additional disk space is usually required only when files and directories are actually modified later. Furthermore, when files are modified, typically only the pointers which map to blocks are copied, not the blocks themselves. In some embodiments, for example in the case of “copy-on-write” snapshots, when a block changes in primary storage, the block is copied to secondary storage or cached in primary storage before the block is overwritten in primary storage. The snapshot mapping of file system data is also updated to reflect the changed block(s) at that particular point in time. In some other cases, a snapshot includes a full physical copy of all or substantially all of the data represented by the snapshot. Further examples of snapshot operations are provided in U.S. Pat. No. 7,529,782, which is incorporated by reference herein.
- Replication Operations
- Another type of secondary copy operation is a replication operation. Some types of
secondary copies 116 are used to periodically capture images ofprimary data 112 at particular points in time (e.g., backups, archives, and snapshots). However, it can also be useful for recovery purposes to protectprimary data 112 in a more continuous fashion, by replicating theprimary data 112 substantially as changes occur. In some cases a replication copy can be a mirror copy, for instance, where changes made toprimary data 112 are mirrored to another location (e.g., to secondary storage device(s) 108). By copying each write operation to the replication copy, two storage systems are kept synchronized or substantially synchronized so that they are virtually identical at approximately the same time. Where entire disk volumes are mirrored, however, mirroring can require significant amount of storage space and utilizes a large amount of processing resources. - According to some embodiments storage operations are performed on replicated data that represents a recoverable state, or “known good state” of a particular application running on the source system. For instance, in certain embodiments, known good replication copies may be viewed as copies of
primary data 112. This feature allows the system to directly access, copy, restore, backup or otherwise manipulate the replication copies as if the data was the “live”,primary data 112. This can reduce access time, storage utilization, and impact onsource applications 110, among other benefits. - Based on known good state information, the
information management system 100 can replicate sections of application data that represent a recoverable state rather than rote copying of blocks of data. Examples of compatible replication operations (e.g., continuous data replication) are provided in U.S. Pat. No. 7,617,262, which is incorporated by reference herein. - Deduplication/Single-Instancing Operations
- Another type of data movement operation is deduplication, which is useful to reduce the amount of data within the system. For instance, some or all of the above-described secondary storage operations can involve deduplication in some fashion. New data is read, broken down into blocks (e.g., sub-file level blocks) of a selected granularity, compared with blocks that are already stored, and only the new blocks are stored. Blocks that already exist are represented as pointers to the already stored data.
- In order to stream-line the comparison process, the
information management system 100 may calculate and/or store signatures (e.g., hashes) corresponding to the individual data blocks and compare the hashes instead of comparing entire data blocks. In some cases, only a single instance of each element is stored, and deduplication operations may therefore be referred to interchangeably as “single-instancing” operations. Depending on the implementation, however, deduplication or single-instancing operations can store more than one instance of certain data blocks, but nonetheless significantly reduce data redundancy. Moreover, single-instancing in some cases is distinguished from deduplication as a process of analyzing and reducing data at the file level, rather than the sub-file level. - Depending on the embodiment, deduplication blocks can be of fixed or variable length. Using variable length blocks can provide enhanced deduplication by responding to changes in the data stream, but can involve complex processing. In some cases, the
information management system 100 utilizes a technique for dynamically aligning deduplication blocks (e.g., fixed-length blocks) based on changing content in the data stream, as described in U.S. Pat. Pub. No. 2012/0084268, which is incorporated by reference herein. - The
information management system 100 can perform deduplication in a variety of manners at a variety of locations in theinformation management system 100. For instance, in some embodiments, theinformation management system 100 implements “target-side” deduplication by deduplicating data (e.g., secondary copies 116) stored in thesecondary storage devices 108. In some such cases, themedia agents 144 are generally configured to manage the deduplication process. For instance, one or more of themedia agents 144 maintain a corresponding deduplication database that stores deduplication information (e.g., datablock signatures). Examples of such a configuration are provided in U.S. Pat. Pub. No. 2012/0150826, which is incorporated by reference herein. Deduplication can also be performed on the “source-side” (or “client-side”), e.g., to reduce the amount of traffic between themedia agents 144 and the client computing device(s) 102 and/or reduce redundant data stored in theprimary storage devices 104. Examples of such deduplication techniques are provided in U.S. Pat. Pub. No. 2012/0150818, which is incorporated by reference herein. - Information Lifecycle Management and Hierarchical Storage Management Operations
- In some embodiments, files and other data over their lifetime move from more expensive, quick access storage to less expensive, slower access storage. Operations associated with moving data through various tiers of storage are sometimes referred to as information lifecycle management (ILM) operations.
- One type of ILM operation is a hierarchical storage management (HSM) operation. A HSM operation is generally an operation for automatically moving data between classes of storage devices, such as between high-cost and low-cost storage devices. For instance, an HSM operation may involve movement of data from
primary storage devices 104 tosecondary storage devices 108, or between tiers ofsecondary storage devices 108. With each tier, the storage devices may be progressively relatively cheaper, have relatively slower access/restore times, etc. For example, movement of data between tiers may occur as data becomes less important over time. - In some embodiments, an HSM operation is similar to an archive operation in that creating an HSM copy may (though not always) involve deleting some of the source data. For example, an HSM copy may include data from
primary data 112 or asecondary copy 116 that is larger than a given size threshold or older than a given age threshold and that is stored in a backup format. - Often, and unlike some types of archive copies, HSM data that is removed or aged from the source copy is replaced by a logical reference pointer or stub. The reference pointer or stub can be stored in the
primary storage device 104 to replace the deleted data in primary data 112 (or other source copy) and to point to or otherwise indicate the new location in asecondary storage device 108. - According to one example, files are generally moved between higher and lower cost storage depending on how often the files are accessed. When a user requests access to the HSM data that has been removed or migrated, the
information management system 100 uses the stub to locate the data and often make recovery of the data appear transparent, even though the HSM data may be stored at a location different from the remaining source data. The stub may also include some metadata associated with the corresponding data, so that a file system and/or application can provide some information about the data object and/or a limited-functionality version (e.g., a preview) of the data object. - An HSM copy may be stored in a format other than the native application format (e.g., where the data is compressed, encrypted, deduplicated, and/or otherwise modified from the original application format). In some cases, copies which involve the removal of data from source storage and the maintenance of stub or other logical reference information on source storage may be referred to generally as “on-line archive copies”. On the other hand, copies which involve the removal of data from source storage without the maintenance of stub or other logical reference information on source storage may be referred to as “off-line archive copies”.
- Auxiliary Copy and Disaster Recovery Operations
- An auxiliary copy is generally a copy operation in which a copy is created of an existing
secondary copy 116. For instance, an initial or “primary”secondary copy 116 may be generated using or otherwise be derived fromprimary data 112, whereas an auxiliary copy is generated from the initialsecondary copy 116. Auxiliary copies can be used to create additional standby copies of data and may reside on differentsecondary storage devices 108 than initialsecondary copies 116. Thus, auxiliary copies can be used for recovery purposes if initialsecondary copies 116 become unavailable. Exemplary compatible auxiliary copy techniques are described in further detail in U.S. Pat. No. 8,230,195, which is incorporated by reference herein. - The
information management system 100 may also perform disaster recovery operations that make or retain disaster recovery copies, often as secondary, high-availability disk copies. Theinformation management system 100 may create secondary disk copies and store the copies at disaster recovery locations using auxiliary copy or replication operations, such as continuous data replication technologies. Depending on the particular data protection goals, disaster recovery locations can be remote from theclient computing devices 102 andprimary storage devices 104, remote from some or all of thesecondary storage devices 108, or both. - Data Processing and Manipulation Operations
- As indicated, the
information management system 100 can also be configured to implement certain data manipulation operations, which according to certain embodiments are generally operations involving the processing or modification of stored data. Some data manipulation operations include content indexing operations and classification operations can be useful in leveraging the data under management to provide enhanced search and other features. Other data manipulation operations such as compression and encryption can provide data reduction and security benefits, respectively. - Data manipulation operations can be different than data movement operations in that they do not necessarily involve the copying, migration or other transfer of data (e.g.,
primary data 112 or secondary copies 116) between different locations in the system. For instance, data manipulation operations may involve processing (e.g., offline processing) or modification of already storedprimary data 112 and/orsecondary copies 116. However, in some embodiments data manipulation operations are performed in conjunction with data movement operations. As one example, theinformation management system 100 may encrypt data while performing an archive operation. - Content Indexing
- In some embodiments, the
information management system 100 “content indexes” data stored within theprimary data 112 and/orsecondary copies 116, providing enhanced search capabilities for data discovery and other purposes. The content indexing can be used to identify files or other data objects having pre-defined content (e.g., user-defined keywords or phrases), metadata (e.g., email metadata such as “to”, “from”, “cc”, “bcc”, attachment name, received time, etc.). - The
information management system 100 generally organizes and catalogues the results in a content index, which may be stored within themedia agent database 152, for example. The content index can also include the storage locations of (or pointer references to) the indexed data in theprimary data 112 orsecondary copies 116, as appropriate. The results may also be stored, in the form of a content index database or otherwise, elsewhere in the information management system 100 (e.g., in theprimary storage devices 104, or in the secondary storage device 108). Such index data provides thestorage manager 140 or another component with an efficient mechanism for locatingprimary data 112 and/orsecondary copies 116 of data objects that match particular criteria. - For instance, search criteria can be specified by a user through
user interface 158 of thestorage manager 140. In some cases, theinformation management system 100 analyzes data and/or metadata insecondary copies 116 to create an “off-line” content index, without significantly impacting the performance of theclient computing devices 102. Depending on the embodiment, the system can also implement “on-line” content indexing, e.g., ofprimary data 112. Examples of compatible content indexing techniques are provided in U.S. Pat. No. 8,170,995, which is incorporated by reference herein. - Classification Operations—Metabase
- In order to help leverage the data stored in the
information management system 100, one or more components can be configured to scan data and/or associated metadata for classification purposes to populate a metabase of information. Such scanned, classified data and/or metadata may be included in a separate database and/or on a separate storage device from primary data 112 (and/or secondary copies 116), such that metabase related operations do not significantly impact performance on other components in theinformation management system 100. - In other cases, the metabase(s) may be stored along with
primary data 112 and/orsecondary copies 116. Files or other data objects can be associated with user-specified identifiers (e.g., tag entries) in the media agent 144 (or other indices) to facilitate searches of stored data objects. Among a number of other benefits, the metabase can also allow efficient, automatic identification of files or other data objects to associate with secondary copy or other information management operations (e.g., in lieu of scanning an entire file system). Examples of compatible metabases and data classification operations are provided in U.S. Pat. Nos. 8,229,954 and 7,747,579, which are incorporated by reference herein. - Encryption Operations
- The
information management system 100 in some cases is configured to process data (e.g., files or other data objects,secondary copies 116, etc.), according to an appropriate encryption algorithm (e.g., Blowfish, Advanced Encryption Standard [AES], Triple Data Encryption Standard [3-DES], etc.) to limit access and provide data security in theinformation management system 100. - The
information management system 100 in some cases encrypts the data at the client level, such that the client computing devices 102 (e.g., the data agents 142) encrypt the data prior to forwarding the data to other components, e.g., before sending thedata media agents 144 during a secondary copy operation. In such cases, theclient computing device 102 may maintain or have access to an encryption key or passphrase for decrypting the data upon restore. Encryption can also occur when creating copies of secondary copies, e.g., when creating auxiliary copies. In yet further embodiments, thesecondary storage devices 108 can implement built-in, high performance hardware encryption. - Management Operations
- Certain embodiments leverage the integrated, ubiquitous nature of the
information management system 100 to provide useful system-wide management functions. As two non-limiting examples, theinformation management system 100 can be configured to implement operations management and e-discovery functions. - Operations management can generally include monitoring and managing the health and performance of
information management system 100 by, without limitation, performing error tracking, generating granular storage/performance metrics (e.g., job success/failure information, deduplication efficiency, etc.), generating storage modeling and costing information, and the like. - Such information can be provided to users via the
user interface 158 in a single, integrated view. For instance, the integrateduser interface 158 can include an option to show a “virtual view” of the system that graphically depicts the various components in the system using appropriate icons. The operations management functionality can facilitate planning and decision-making. For example, in some embodiments, a user may view the status of some or all jobs as well as the status of each component of theinformation management system 100. Users may then plan and make decisions based on this data. For instance, a user may view high-level information regarding storage operations for theinformation management system 100, such as job status, component status, resource status (e.g., network pathways, etc.), and other information. The user may also drill down or use other means to obtain more detailed information regarding a particular component, job, or the like. - In some cases the
information management system 100 alerts a user such as a system administrator when a particular resource is unavailable or congested. For example, a particularprimary storage device 104 orsecondary storage device 108 might be full or require additional capacity. Or a component may be unavailable due to hardware failure, software problems, or other reasons. In response, theinformation management system 100 may suggest solutions to such problems when they occur (or provide a warning prior to occurrence). For example, thestorage manager 140 may alert the user that asecondary storage device 108 is full or otherwise congested. Thestorage manager 140 may then suggest, based on job and data storage information contained in itsdatabase 146, an alternatesecondary storage device 108. - Other types of corrective actions may include suggesting an alternate data path to a particular primary or
secondary storage device secondary storage devices storage manager 140 implements the operations management functions described herein. - The
information management system 100 can also be configured to perform system-wide e-discovery operations in some embodiments. In general, e-discovery operations provide a unified collection and search capability for data in the system, such as data stored in the secondary storage devices 108 (e.g., backups, archives, or other secondary copies 116). For example, theinformation management system 100 may construct and maintain a virtual repository for data stored in theinformation management system 100 that is integrated acrosssource applications 110, different storage device types, etc. According to some embodiments, e-discovery utilizes other techniques described herein, such as data classification and/or content indexing. - As indicated previously, an
information management policy 148 can include a data structure or other information source that specifies a set of parameters (e.g., criteria and rules) associated with secondary copy or other information management operations. - One type of
information management policy 148 is a storage policy. According to certain embodiments, a storage policy generally comprises a logical container that defines (or includes information sufficient to determine) one or more of the following items: (1) what data will be associated with the storage policy; (2) a destination to which the data will be stored; (3) datapath information specifying how the data will be communicated to the destination; (4) the type of storage operation to be performed; and (5) retention information specifying how long the data will be retained at the destination. - Data associated with a storage policy can be logically organized into groups, which can be referred to as “sub-clients”. A sub-client may represent static or dynamic associations of portions of a data volume. Sub-clients may represent mutually exclusive portions. Thus, in certain embodiments, a portion of data may be given a label and the association is stored as a static entity in an index, database or other storage location.
- Sub-clients may also be used as an effective administrative scheme of organizing data according to data type, department within the enterprise, storage preferences, or the like. Depending on the configuration, sub-clients can correspond to files, folders, virtual machines, databases, etc. In one exemplary scenario, an administrator may find it preferable to separate e-mail data from financial data using two different sub-clients.
- A storage policy can define where data is stored by specifying a target or destination storage device (or group of storage devices). For instance, where the
secondary storage device 108 includes a group of disk libraries, the storage policy may specify a particular disk library for storing the sub-clients associated with the policy. As another example, where thesecondary storage devices 108 include one or more tape libraries, the storage policy may specify a particular tape library for storing the sub-clients associated with the storage policy, and may also specify a drive pool and a tape pool defining a group of tape drives and a group of tapes, respectively, for use in storing the sub-client data. - Datapath information can also be included in the storage policy. For instance, the storage policy may specify network pathways and components to utilize when moving the data to the destination storage device(s). In some embodiments, the storage policy specifies one or
more media agents 144 for conveying data (e.g., one or more sub-clients) associated with the storage policy between the source (e.g., one or more host client computing devices 102) and destination (e.g., a particular target secondary storage device 108). - A storage policy can also specify the type(s) of operations associated with the storage policy, such as a backup, archive, snapshot, auxiliary copy, or the like. Retention information can specify how long the data will be kept, depending on organizational needs (e.g., a number of days, months, years, etc.)
- The
information management policies 148 may also include one or more scheduling policies specifying when and how often to perform operations. Scheduling information may specify with what frequency (e.g., hourly, weekly, daily, event-based, etc.) or under what triggering conditions secondary copy or other information management operations will take place. Scheduling policies in some cases are associated with particular components, such as particular sub-clients,client computing device 102, and the like. In one configuration, a separate scheduling policy is maintained for particular sub-clients on aclient computing device 102. The scheduling policy specifies that those sub-clients are to be moved tosecondary storage devices 108 every hour according to storage policies associated with the respective sub-clients. - When adding a new
client computing device 102, administrators can manually configureinformation management policies 148 and/or other settings, e.g., via theuser interface 158. However, this can be an involved process resulting in delays, and it may be desirable to begin data protecting operations quickly. - Thus, in some embodiments, the
information management system 100 automatically applies a default configuration toclient computing device 102. As one example, when a data agent(s) 142 is installed on aclient computing devices 102, the installation script may register theclient computing device 102 with thestorage manager 140, which in turn applies the default configuration to the newclient computing device 102. In this manner, data protection operations can begin substantially immediately. The default configuration can include a default storage policy, for example, and can specify any appropriate information sufficient to begin data protection operations. This can include a type of data protection operation, scheduling information, a targetsecondary storage device 108, data path information (e.g., a particular media agent 144), and the like. - Other types of
information management policies 148 are possible. For instance, theinformation management policies 148 can also include one or more audit or security policies. An audit policy is a set of preferences, rules and/or criteria that protect sensitive data in theinformation management system 100. For example, an audit policy may define “sensitive objects” as files or objects that contain particular keywords (e.g. “confidential,” or “privileged”) and/or are associated with particular keywords (e.g., in metadata) or particular flags (e.g., in metadata identifying a document or email as personal, confidential, etc.). - An audit policy may further specify rules for handling sensitive objects. As an example, an audit policy may require that a reviewer approve the transfer of any sensitive objects to a cloud storage site, and that if approval is denied for a particular sensitive object, the sensitive object should be transferred to a
local storage device 104 instead. To facilitate this approval, the audit policy may further specify how a secondarystorage computing device 106 or other system component should notify a reviewer that a sensitive object is slated for transfer. - In some implementations, the
information management policies 148 may include one or more provisioning policies. A provisioning policy can include a set of preferences, priorities, rules, and/or criteria that specify how clients 102 (or groups thereof) may utilize system resources, such as available storage on cloud storage and/or network bandwidth. A provisioning policy specifies, for example, data quotas for particular client computing devices 102 (e.g. a number of gigabytes that can be stored monthly, quarterly or annually). Thestorage manager 140 or other components may enforce the provisioning policy. For instance, themedia agents 144 may enforce the policy when transferring data tosecondary storage devices 108. If aclient computing device 102 exceeds a quota, a budget for the client computing device 102 (or associated department) is adjusted accordingly or an alert may trigger. - While the above types of
information management policies 148 have been described as separate policies, one or more of these can be generally combined into a singleinformation management policy 148. For instance, a storage policy may also include or otherwise be associated with one or more scheduling, audit, or provisioning policies. Moreover, while storage policies are typically associated with moving and storing data, other policies may be associated with other types of information management operations. The following is a non-exhaustive list of items theinformation management policies 148 may specify: -
- schedules or other timing information, e.g., specifying when and/or how often to perform information management operations;
- the type of
secondary copy 116 and/or secondary copy format (e.g., snapshot, backup, archive, HSM, etc.); - a location or a class or quality of storage for storing secondary copies 116 (e.g., one or more particular secondary storage devices 108);
- preferences regarding whether and how to encrypt, compress, deduplicate, or otherwise modify or transform
secondary copies 116; - which system components and/or network pathways (e.g., preferred media agents 144) should be used to perform secondary storage operations;
- resource allocation between different computing devices or other system components used in performing information management operations (e.g., bandwidth allocation, available storage capacity, etc.);
- whether and how to synchronize or otherwise distribute files or other data objects across multiple computing devices or hosted services; and
- retention information specifying the length of time
primary data 112 and/orsecondary copies 116 should be retained, e.g., in a particular class or tier of storage devices, or within theinformation management system 100.
- Policies can additionally specify or depend on a variety of historical or current criteria that may be used to determine which rules to apply to a particular data object, system component, or information management operation, such as:
-
- frequency with which
primary data 112 or asecondary copy 116 of a data object or metadata has been or is predicted to be used, accessed, or modified; - time-related factors (e.g., aging information such as time since the creation or modification of a data object);
- deduplication information (e.g., hashes, data blocks, deduplication block size, deduplication efficiency or other metrics);
- an estimated or historic usage or cost associated with different components (e.g., with secondary storage devices 108);
- the identity of users,
applications 110,client computing devices 102 and/or other computing devices that created, accessed, modified, or otherwise utilizedprimary data 112 orsecondary copies 116; - a relative sensitivity (e.g., confidentiality) of a data object, e.g., as determined by its content and/or metadata;
- the current or historical storage capacity of various storage devices;
- the current or historical network capacity of network pathways connecting various components within the storage operation cell;
- access control lists or other security information; and
- the content of a particular data object (e.g., its textual content) or of metadata associated with the data object.
- frequency with which
-
FIG. 1E shows a data flow data diagram depicting performance of storage operations by an embodiment of aninformation management system 100, according to an exemplarydata storage policy 148A. Theinformation management system 100 includes astorage manger 140, aclient computing device 102 having a filesystem data agent 142A and anemail data agent 142B residing thereon, aprimary storage device 104, twomedia agents secondary storage devices disk library 108A and atape library 108B. As shown, theprimary storage device 104 includesprimary data 112A, 1126 associated with a file system sub-client and an email sub-client, respectively. - As indicated by the dashed box, the
second media agent 144B and thetape library 108B are “off-site”, and may therefore be remotely located from the other components in the information management system 100 (e.g., in a different city, office building, etc.). In this manner, information stored on the tape library 1086 may provide protection in the event of a disaster or other failure. - The file system sub-client and its associated
primary data 112A in certain embodiments generally comprise information generated by the file system and/or operating system of theclient computing device 102, and can include, for example, file system data (e.g., regular files, file tables, mount points, etc.), operating system data (e.g., registries, event logs, etc.), and the like. The e-mail sub-client, on the other hand, and its associatedprimary data 112B, include data generated by an e-mail client application operating on theclient computing device 102, and can include mailbox information, folder information, emails, attachments, associated database information, and the like. As described above, the sub-clients can be logical containers, and the data included in the correspondingprimary data - The
exemplary storage policy 148A includes a backup copy rule set 160, a disaster recovery copy rule set 162, and a compliance copy rule set 164. The backup copy rule set 160 specifies that it is associated with afile system sub-client 166 and anemail sub-client 168. Each of thesesub-clients client computing device 102. The backup copy rule set 160 further specifies that the backup operation will be written to thedisk library 108A, and designates aparticular media agent 144A to convey the data to thedisk library 108A. Finally, the backup copy rule set 160 specifies that backup copies created according to the rule set 160 are scheduled to be generated on an hourly basis and to be retained for 30 days. In some other embodiments, scheduling information is not included in thestorage policy 148A, and is instead specified by a separate scheduling policy. - The disaster recovery copy rule set 162 is associated with the same two
sub-clients tape library 108B, unlike the backup copy rule set 160. Moreover, the disaster recovery copy rule set 162 specifies that adifferent media agent 144B than themedia agent 144A associated with the backup copy rule set 160 will be used to convey the data to thetape library 108B. As indicated, disaster recovery copies created according to the rule set 162 will be retained for 60 days, and will be generated on a daily basis. Disaster recovery copies generated according to the disaster recovery copy rule set 162 can provide protection in the event of a disaster or other data-loss event that would affect thebackup copy 116A maintained on thedisk library 108A. - The compliance copy rule set 164 is only associated with the
email sub-client 166, and not thefile system sub-client 168. Compliance copies generated according to the compliance copy rule set 164 will therefore not includeprimary data 112A from thefile system sub-client 166. For instance, the organization may be under an obligation to store maintain copies of email data for a particular period of time (e.g., 10 years) to comply with state or federal regulations, while similar regulations do not apply to the file system data. The compliance copy rule set 164 is associated with thesame tape library 108B andmedia agent 144B as the disaster recovery copy rule set 162, although a different storage device or media agent could be used in other embodiments. Finally, the compliance copy rule set 164 specifies that copies generated under the compliance copy rule set 164 will be retained for 10 years, and will be generated on a quarterly basis. - At
step 1, thestorage manager 140 initiates a backup operation according to the backup copy rule set 160. For instance, a scheduling service running on thestorage manager 140 accesses scheduling information from the backup copy rule set 160 or a separate scheduling policy associated with theclient computing device 102, and initiates a backup copy operation on an hourly basis. Thus, at the scheduled time slot thestorage manager 140 sends instructions to theclient computing device 102 to begin the backup operation. - At
step 2, the filesystem data agent 142A and theemail data agent 142B residing on theclient computing device 102 respond to the instructions received from thestorage manager 140 by accessing and processing theprimary data primary storage device 104. Because the operation is a backup copy operation, the data agent(s) 142A, 142B may format the data into a backup format or otherwise process the data. - At
step 3, theclient computing device 102 communicates the retrieved, processed data to thefirst media agent 144A, as directed by thestorage manager 140, according to the backup copy rule set 160. In some other embodiments, theinformation management system 100 may implement a load-balancing, availability-based, or other appropriate algorithm to select from the available set ofmedia agents media agent 144A is selected, thestorage manager 140 may further keep a record in thestorage manager database 140 of the association between the selectedmedia agent 144A and theclient computing device 102 and/or between the selectedmedia agent 144A and thebackup copy 116A. - The
target media agent 144A receives the data from theclient computing device 102, and atstep 4 conveys the data to thedisk library 108A to create thebackup copy 116A, again at the direction of thestorage manager 140 and according to the backup copy rule set 160. Thesecondary storage device 108A can be selected in other ways. For instance, themedia agent 144A may have a dedicated association with a particular secondary storage device(s), or thestorage manager 140 ormedia agent 144A may select from a plurality of secondary storage devices, e.g., according to availability, using one of the techniques described in U.S. Pat. No. 7,246,207, which is incorporated by reference herein. - The
media agent 144A can also update itsindex 153 to include data and/or metadata related to thebackup copy 116A, such as information indicating where thebackup copy 116A resides on thedisk library 108A, data and metadata for cache retrieval, etc. After the 30 day retention period expires, thestorage manager 140 instructs themedia agent 144A to delete thebackup copy 116A from thedisk library 108A. - At
step 5, thestorage manager 140 initiates the creation of a disaster recovery copy 1166 according to the disaster recovery copy rule set 162. For instance, atstep 6, based on instructions received from thestorage manager 140 atstep 5, the specifiedmedia agent 144B retrieves the most recentbackup copy 116A from thedisk library 108A. - At step 7, again at the direction of the
storage manager 140 and as specified in the disaster recovery copy rule set 162, themedia agent 144B uses the retrieved data to create adisaster recovery copy 116B on thetape library 108B. In some cases, the disaster recovery copy 1166 is a direct, mirror copy of thebackup copy 116A, and remains in the backup format. In other embodiments, thedisaster recovery copy 116C may be generated in some other manner, such as by using theprimary data 112A, 1126 from thestorage device 104 as source data. The disaster recovery copy operation is initiated once a day and thedisaster recovery copies 116A are deleted after 60 days. - At
step 8, thestorage manager 140 initiates the creation of acompliance copy 116C, according to the compliance copy rule set 164. For instance, thestorage manager 140 instructs themedia agent 144B to create thecompliance copy 116C on thetape library 108B atstep 9, as specified in the compliance copy rule set 164. In the example, thecompliance copy 116C is generated using thedisaster recovery copy 116B. In other embodiments, thecompliance copy 116C is instead generated using either theprimary data 112B corresponding to the email sub-client or using thebackup copy 116A from thedisk library 108A as source data. As specified,compliance copies 116C are created quarterly, and are deleted after ten years. - While not shown in
FIG. 1E , at some later point in time, a restore operation can be initiated involving one or more of thesecondary copies backup copy 116A by interacting with theuser interface 158 of thestorage manager 140. Thestorage manager 140 then accesses data in its index 150 (and/or therespective storage policy 148A) associated with the selectedbackup copy 116A to identify theappropriate media agent 144A and/orsecondary storage device 116A. - In other cases, a media agent may be selected for use in the restore operation based on a load balancing algorithm, an availability based algorithm, or other criteria. The selected
media agent 144A retrieves the data from thedisk library 108A. For instance, themedia agent 144A may access itsindex 153 to identify a location of thebackup copy 116A on thedisk library 108A, or may access location information residing on thedisk 108A itself. - When the
backup copy 116A was recently created or accessed, themedia agent 144A accesses a cached version of thebackup copy 116A residing in themedia agent index 153, without having to access thedisk library 108A for some or all of the data. Once it has retrieved thebackup copy 116A, themedia agent 144A communicates the data to the sourceclient computing device 102. Upon receipt, the filesystem data agent 142A and theemail data agent 142B may unpackage (e.g., restore from a backup format to the native application format) the data in thebackup copy 116A and restore the unpackaged data to theprimary storage device 104. - The formatting and structure of
secondary copies 116 can vary, depending on the embodiment. In some cases,secondary copies 116 are formatted as a series of logical data units or “chunks” (e.g., 512 MB, 1 GB, 2 GB, 4 GB, or 8 GB chunks). This can facilitate efficient communication and writing tosecondary storage devices 108, e.g., according to resource availability. For example, a singlesecondary copy 116 may be written on a chunk-by-chunk basis to a singlesecondary storage device 108 or across multiplesecondary storage devices 108. In some cases, users can select different chunk sizes, e.g., to improve throughput to tape storage devices. - Generally, each chunk can include a header and a payload. The payload can include files (or other data units) or subsets thereof included in the chunk, whereas the chunk header generally includes metadata relating to the chunk, some or all of which may be derived from the payload. For example, during a secondary copy operation, the
media agent 144,storage manager 140, or other component may divide the associated files into chunks and generate headers for each chunk by processing the constituent files. - The headers can include a variety of information such as file identifier(s), volume(s), offset(s), or other information associated with the payload data items, a chunk sequence number, etc. Importantly, in addition to being stored with the
secondary copy 116 on thesecondary storage device 108, the chunk headers 300 can also be stored to theindex 153 of the associated media agent(s) 144 and/or thestorage manager index 150. This is useful in some cases for providing faster processing ofsecondary copies 116 during restores or other operations. In some cases, once a chunk is successfully transferred to asecondary storage device 108, thesecondary storage device 108 returns an indication of receipt, e.g., to themedia agent 144 and/orstorage manager 140, which may update theirrespective indexes - During restore, chunks may be processed (e.g., by the media agent 144) according to the information in the chunk header to reassemble the files. Additional information relating to chunks can be found in U.S. Pat. No. 8,156,086, which is incorporated by reference herein.
- The systems and methods described with respect to
FIGS. 1A-1E can be used for protecting secondary copy data. For instance, the system ofFIG. 1D applies backup policies and backs up the data fromclient computing devices 102 in the data storage system. In other embodiments, data storage systems include virtual computing devices. As indicated above, when virtual machines are created, network administrators will sometimes fail to set the protection schemes to ensure that the virtual machines will be backed up. Systems and methods are described herein to automatically discover and protect unprotected virtual machines. Further examples of systems and methods for 1) identifying virtual machine backup policies; 2) automatically categorizing unprotected virtual machines; 3) identifying uncategorized virtual machines as unprotected; and 4) protecting unprotected virtual machines are described below with respect toFIGS. 2-7 . -
FIG. 2 is a block diagram illustrating an arrangement of resources that form an exampleinformation management cell 750. According to certain embodiments, some or all of the components of theinformation management cell 750 ofFIG. 2 may have the same or similar structure and/or functionality as the similarly named components of the information management cell ofFIG. 1D - As shown, the
information management cell 750 can include virtualmachine management software 740, a storage orinformation manager 701, one or morevirtual machines 785, one or more primarydata storage mediums 290, one ormore media agents 205, and one or moresecondary storage mediums 215. - The virtual
machine management software 740, in an embodiment, configures, provisions, and manages virtualized environments, and stores information about the physical servers, resource pools and virtual machines. Examples of virtualmachine management software 740 are VMware® VirtualCenter, Microsoft® System Center Virtual Machine Manager, and the like. The virtualmachine management software 740 interfaces with thevirtual machines 785 to retrieve information about thevirtual machine 785, which is stored in a database associated with the virtualmachine management software 740. Examples of the stored information are the number of virtual machines in theinformation management cell 750, the physical server associated with eachvirtual machine 785, and the like. - The storage or
information manager 701 may be a software module or other application that coordinates and/or controls storage operations performed by one or moreinformation management cells 750, similar to that described above for the storage orinformation manager 140 and theinformation management cell 100 ofFIGS. 1C and 1D . In this manner, the storage orinformation manager 701 may act as a generally central control component with respect to the other components in thecell 750. As shown by the dashed lines, the storage orinformation manager 701 may communicate with and/or control some or all elements of theinformation management cell 750, such as themedia agents 205 andvirtual computing devices 785, to initiate, coordinate, and/or manage secondary copy operations. - The storage or
information manager 701 comprises anauto discovery module 710 which, when executed, interfaces with the virtualmachine management software 740 to retrieve information about thevirtual machines 785 in theinformation management cell 750. Moreover, as will be described below, theauto discovery module 710, when executed, can also identify virtual machine backup policies, and automatically categorize virtual machines without designated backup policies, identify uncategorized virtual machines as unprotected, and implement a default backup policy for these unprotected virtual machines. - While the auto discovery module is shown as residing on the
storage manager 701, in some embodiments auto discovery functionality is advantageously distributed amongst other components in the system. For instance, depending on the embodiment, auto discovery agents can execute on or form a part of one or more of theclients 785, one or more of thedata agents 295, or one or more of themedia agents 205. - As described above with respect to storage or
information manager 140 ofFIG. 1D , the storage orinformation manager 701 may maintain thedatabase 260 of management-related data and policies. As shown, thedatabase 260 may include a management index or other data structure that stores logical associations between components of the system, user preferences and/or profiles, such as preferences regarding the scheduling, type, or other aspects of secondary copy operations, management tasks, media containerization, or other useful data. - The
storage manager database 260 may maintain various “information management policies,” and associated data, which in some embodiments are stored in themanagement database 260 of thestorage manager 701, although the policies can be stored in any appropriate location. A storage or other information management policy may be stored in themedia agent database 226 or in secondary storage media 215 (e.g., as an archive copy) as metadata for use in information management operations, depending on the embodiment. - Generally, a policy can include a data structure or other information source that specifies a set of parameters (e.g., criteria and rules) associated with performing one or more information management operations. For example, a policy can contain information sufficient for the
information management system 750 to set up and execute information management operations corresponding to the policy. - According to some embodiments, a policy comprises a data structure that defines at least timing information and type(s) sufficient for the system to perform corresponding information management operations, such as secondary copy operations (e.g. data backup operations). Timing information can including scheduling information, and may specify when (e.g., under what triggering conditions) and/or with what frequency (e.g., hourly, weekly, daily, event-based, etc.) operations will take place.
- Specifically with respect to secondary copy operations, in some embodiments a policy can be a data structure that defines at least timing information, the type(s) of secondary copy, and information sufficient to determine a secondary storage destination (e.g., a location or class or quality of storage media) for storing the secondary copy. A storage policy may include a schedule policy specifying when and how often to perform secondary storage operations.
- Policies can additionally specify a variety of historical or current criteria that may be used to determine which rules to apply to a particular data object, system component, or information management operation. In an embodiment, the policies can specify criteria that may be used to determine which backup rules apply to virtual machines that do not have a designated backup policy. These criteria or auto-discovery rules can be used to ensure that virtual machines are protected automatically without manual intervention.
- The
virtual machine 785 is a software implementation of a computing environment in which an operating system or program can be installed and run. Thevirtual machine 785 typically emulates a physical computing environment, but requests for CPU, memory, hard disk, network and other hardware resources are managed by a virtualization layer which translates these requests to the underlying physical hardware. - The
virtual machines 785 are created within the virtualization layer, such as a hypervisor or a virtualization platform that runs on top of a client or server operating system. This operating system is often known as the host operating system. The virtualization layer can be used to create many individual, isolated virtual machine environments. - Typically, guest operating systems and programs are not aware that they are running on a virtual platform and, as long as the virtual machine's virtual platform is supported, this software can be installed in the same way it would be deployed to physical server hardware. For example, the guest operating system might appear to have a physical hard disk attached to it, but actual I/O requests are translated by the virtualization layer so they actually occur against a file that is accessible by the host operating system.
- As indicated above, the
virtual machines 785 interface with and provide information to the virtualmachine management software 740. In another embodiment, thevirtual machine 785 interfaces with the storage orinformation manager 701. By executing theauto discovery module 710, the information orstorage manager 701 queries eachcomputing device device virtual machines 785 are associated with a backup policy. Eachvirtual machine 785 provides information, such as its existence in theinformation management cell 750, its associated physical server, its associated backup policy or lack of backup policy, and the like, to the storage orinformation manager 701. In an embodiment, the information is stored in themanagement database 260 for access by the storage orinformation manager 701. - With further reference to
FIG. 2 , the interaction between the various components of the example data storage system will now be described in greater detail. -
FIG. 3 illustrates a flow chart of an exemplary embodiment of aprocess 800 to identify virtual machine backup policies usable by theinformation management system 750. Atblock 802, the information orstorage manager 701 queries the virtualmachine management software 740 for a list ofvirtual machines 785 in theinformation management system 750. - At
block 804, the information orstorage manager 701 receives a list of thevirtual machines 785 in theinformation management system 750 from the virtualmachine management software 740. - At
block 806, theprocess 800 retrieves a list of machines (virtual machines 785 and client computing devices 102) in theinformation management system 750 that have designated backup policies. In an embodiment, the list ofvirtual machines 785 andclient computing devices 102 is stored in themanagement database 260. - At
block 808, theprocess 800 compares the list ofvirtual machines 785 in theinformation management system 750 with the list of machines in theinformation management system 750 having designated backup policies. - At
block 810, theprocess 800 identifies whichvirtual machines 785 in theinformation management system 750 do not have a backup policy. Thevirtual machines 785 without an associated backup policy are unprotected. In an embodiment, an indication of thevirtual machines 785 without designated backup policies is stored in themanagement database 260. - At
block 812, theprocess 800 notifies the system or network administrator of thevirtual machines 785 without an associated backup policy or the unprotectedvirtual machines 785. In an embodiment, theprocess 800 notifies the administrator through a graphical user interface. -
FIG. 4 illustrates a flow chart of an exemplary embodiment of aprocess 900 to automatically categorize unprotected virtual machines usable by theinformation management system 750. - At
block 902, theprocess 900 identifies the virtual machine backup policies of thevirtual machines 785 in theinformation management system 750. In an embodiment, theprocess 900 identifies whichvirtual machines 785 in theinformation management system 750 are not assigned a backup policy by comparing the list of virtual machines in thesystem 750 with the list of machines in thesystem 750 having designated backup policies, as is described above with respect toFIG. 3 . - At
block 904, theprocess 900 automatically retrieves backup characteristics associated with thevirtual machines 785 not assigned backup policies. In an embodiment, the backup characteristics are stored in themanagement database 260. In another embodiment, the information orstorage manager 701 queries eachvirtual machine 785 not assigned a backup policy and receives backup characteristics from the queriedvirtual machines 785. In a further embodiment, theprocess 900 retrieves the backup characteristics associated with thevirtual machines 785 not assigned a backup policy from the virtualmachine management software 740. Examples of backup characteristics are the type of client, processor platform, operating system, type and version of software being run, the user, the location of the user, the department to which thevirtual machine 785 is assigned, name of thevirtual machine 785, guest DNS hostname, guest operating system, location in the virtualmachine management software 740 of one or more of a folder, resource pool, datacenter, and vApp, location of thevirtual machine datastore 290, attributes in the virtualmachine management software 740, state of thevirtual machine 785, such as power on, and the like. - At
block 906, theprocess 900 automatically determines whether the virtual machine's backup characteristics meet the criteria for pre-defined categories or auto-discovery rules associated with backup policies. Each category is associated with criteria and a backup policy. In an embodiment, theprocess 900 automatically compares the backup characteristics associated with thevirtual server 785 to the criteria associated with the categories of auto-discovery rules. - In an embodiment, backup policies are fine tuned to apply the timing, frequency, storage location, and the like, appropriate to the client device being backed up. For example, client devices associated with an accounting department may be backed up every 2 hours, while client devices associated with an engineering department may be backed up every week.
-
FIG. 5 is an exemplary screen shot 1000 of available auto-discovery rules usable by theinformation management system 750. Exemplary screen shot 1000 shows auto-discovery rules in the following categories: cluster affinity, data center affinity, data store affinity, ESX server affinity, matching guest host names by regular expression, operating system group, resource pool affinity, and virtual application affinity. In other embodiments, the categories of auto-discovery rules may be different from the exemplary categories ofFIG. 5 . - As described above, each category is associated with criteria and a backup policy. For example, the criteria for the cluster affinity category may be any client device connected to the administration department cluster and the backup policy associated with the cluster affinity category may be a backup schedule of once a day at 11 p.m.
- Referring to block 906 of
FIG. 4 , when the backup characteristics of thevirtual machine 785 meet the criteria associated with a particular auto-discovery rule, theprocess 900 moves to block 908. Atblock 908, theprocess 900 automatically applies the backup policy associated with the auto-discovery rules to thevirtual device 785. Thus, thevirtual device 785 is automatically protected by theprocess 900. In an embodiment, theprocess 900 associates the backup policy with thevirtual device 785 and stores the association in themanagement database 260. - Referring to block 906, when the backup characteristics of the
virtual machine 785 do not fit the criteria associated with any of the auto-discovery rules, theprocess 900 moves to block 910. Atblock 910, theprocess 900 identifies thevirtual machine 785 as uncategorized. Thevirtual machine 785 is uncategorized when it does not have a designated backup policy and it cannot be automatically assigned a backup policy associated with the auto-discovery rules because it does not fit into any of the categories of auto-discovery rules. -
FIG. 6 illustrates a flow chart of an exemplary embodiment of aprocess 1100 to identify an unprotected category ofvirtual machines 785 usable by theinformation management system 750. - At
block 1102, theprocess 1100 identifies the virtual machine backup policies of thevirtual machines 785 in theinformation management system 750. In an embodiment, theprocess 1100 identifies whichvirtual machines 785 in theinformation management system 750 are not assigned a backup policy by comparing the list of virtual machines in thesystem 750 with the list of machines in thesystem 750 having designated backup policies, as described above with respect toFIG. 3 . - At
block 1104, theprocess 1100 automatically categorizesvirtual machines 785 not associated with a backup policy. In an embodiment, theprocess 1100 automatically compares the backup characteristics of thevirtual machines 785 without designated backup policies to the criteria associated with categories of auto-discovery rules such that when there is a match, the virtual machine is assigned the backup policy associated with the matching category and when there is no match, thevirtual machine 785 is identified as uncategorized, as described above with respect toFIG. 4 . - At
block 1106, theprocess 1100 identifies the uncategorizedvirtual machines 785 as unprotected. Since thevirtual machines 785 with no assigned backup policy do not fit into any of the criteria associated with pre-defined backup policies, they are not assigned a backup policy associated with any of the auto-discovery rules. Consequently, the data from these virtual machines is not backed up by theinformation management system 750. - At
block 1108, theprocess 1100 notifies the system or network administrator of the unprotectedvirtual machines 785. In an embodiment, theprocess 1100 notifies the administrator through a graphical user interface. -
FIG. 7 illustrates a flow chart of an exemplary embodiment of aprocess 1200 to protect unprotectedvirtual machines 785 usable by theinformation management system 750. Atblock 1202, theprocess 1200 identifies the virtual machine backup policies of thevirtual machines 785 in theinformation management system 750. In an embodiment, theprocess 1200 identifies whichvirtual machines 785 in theinformation management system 750 are not assigned a backup policy by comparing the list of virtual machines in thesystem 750 with the list of machines in thesystem 750 having designated backup policies, as described above with respect toFIG. 3 . - At
block 1204, theprocess 1200 automatically categorizes unprotectedvirtual machines 785. In an embodiment, theprocess 1200 automatically compares the backup characteristics of thevirtual machines 785 without designated backup policies to the criteria associated with categories of auto-discovery rules such that when there is a match, the virtual machine is assigned the backup policy associated with the matching category and when there is no match, thevirtual machine 785 is identified as uncategorized, as described above with respect toFIG. 4 . - At
block 1206, theprocess 1200 identifies the virtual machines with no designated backup policy and which do not fit into any of the categories of auto-discovery rules as belonging to the unprotected category, as described above with respect toFIG. 6 . - At
block 1208, theprocess 1200 retrieves a default backup policy. In an embodiment, theprocess 1200 retrieves a default backup policy from the policies stored in themanagement database 260. Since thesystem 750 does not have the information to automatically assign a backup policy tailored to the usage, location, and the like of the unprotectedvirtual machine 785, theprocess 1200 uses a previously defined catch-all backup policy. For example, a default backup policy may specify which volume orsecondary storage device 215 to store the backup data, a minimal bi-weekly recovery period, and the like. - At
block 1210, theprocess 1200 automatically applies the backup default policy to the unprotectedvirtual machines 785. In an embodiment, theprocess 1200 associates the default backup policy with thevirtual device 785 and stores an indication of the association in themanagement database 260. - At
block 1212, theprocess 1200 automatically backs up thevirtual machines 785 with the default backup policy. Thus,virtual machines 785 which were never assigned a backup policy by system administrators and do not meet any of the criteria for pre-defined backup policies are automatically protected. - Conditional language, such as, among others, “can,” “could,” “might,” or “may,” unless specifically stated otherwise, or otherwise understood within the context as used, is generally intended to convey that certain embodiments include, while other embodiments do not include, certain features, elements and/or steps. Thus, such conditional language is not generally intended to imply that features, elements and/or steps are in any way required for one or more embodiments or that one or more embodiments necessarily include logic for deciding, with or without user input or prompting, whether these features, elements and/or steps are included or are to be performed in any particular embodiment.
- Depending on the embodiment, certain acts, events, or functions of any of the algorithms described herein can be performed in a different sequence, can be added, merged, or left out all together (e.g., not all described acts or events are necessary for the practice of the algorithms). Moreover, in certain embodiments, acts or events can be performed concurrently, e.g., through multi-threaded processing, interrupt processing, or multiple processors or processor cores or on other parallel architectures, rather than sequentially.
- Systems and modules described herein may comprise software, firmware, hardware, or any combination(s) of software, firmware, or hardware suitable for the purposes described herein. Software and other modules may reside on servers, workstations, personal computers, computerized tablets, PDAs, and other devices suitable for the purposes described herein. Software and other modules may be accessible via local memory, via a network, via a browser, or via other means suitable for the purposes described herein. Data structures described herein may comprise computer files, variables, programming arrays, programming structures, or any electronic information storage schemes or methods, or any combinations thereof, suitable for the purposes described herein. User interface elements described herein may comprise elements from graphical user interfaces, command line interfaces, and other suitable interfaces.
- Further, the processing of the various components of the illustrated systems can be distributed across multiple machines, networks, and other computing resources. In addition, two or more components of a system can be combined into fewer components. Various components of the illustrated systems can be implemented in one or more virtual machines, rather than in dedicated computer hardware systems. Likewise, the data repositories shown can represent physical and/or logical data storage, including, for example, storage area networks or other distributed storage systems. Moreover, in some embodiments the connections between the components shown represent possible paths of data flow, rather than actual connections between hardware. While some examples of possible connections are shown, any of the subset of the components shown can communicate with any other subset of components in various implementations.
- Embodiments are also described above with reference to flow chart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products. Each block of the flow chart illustrations and/or block diagrams, and combinations of blocks in the flow chart illustrations and/or block diagrams, may be implemented by computer program instructions. Such instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the acts specified in the flow chart and/or block diagram block or blocks.
- These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to operate in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the acts specified in the flow chart and/or block diagram block or blocks. The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operations to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the acts specified in the flow chart and/or block diagram block or blocks.
- While certain embodiments have been described, these embodiments have been presented by way of example only, and are not intended to limit the scope of the disclosure. Indeed, the novel methods and systems described herein may be embodied in a variety of other forms; furthermore, various omissions, substitutions and changes in the form of the described methods and systems may be made without departing from the spirit of the disclosure. The accompanying claims and their equivalents are intended to cover such forms or modifications as would fall within the scope and spirit of the disclosure.
Claims (20)
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Cited By (43)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150261768A1 (en) * | 2014-03-13 | 2015-09-17 | Commvault Systems, Inc. | Systems and methods for protecting email data |
US9286110B2 (en) | 2013-01-14 | 2016-03-15 | Commvault Systems, Inc. | Seamless virtual machine recall in a data storage system |
US9286086B2 (en) | 2012-12-21 | 2016-03-15 | Commvault Systems, Inc. | Archiving virtual machines in a data storage system |
US9417968B2 (en) | 2014-09-22 | 2016-08-16 | Commvault Systems, Inc. | Efficiently restoring execution of a backed up virtual machine based on coordination with virtual-machine-file-relocation operations |
US9436555B2 (en) | 2014-09-22 | 2016-09-06 | Commvault Systems, Inc. | Efficient live-mount of a backed up virtual machine in a storage management system |
US9495404B2 (en) | 2013-01-11 | 2016-11-15 | Commvault Systems, Inc. | Systems and methods to process block-level backup for selective file restoration for virtual machines |
US20170010941A1 (en) * | 2014-05-30 | 2017-01-12 | Hitachi, Ltd. | Method for adjusting backup schedule for virtual computer |
US20170026421A1 (en) * | 2015-07-24 | 2017-01-26 | Samsung Electronics Co., Ltd. | Apparatus and method for supporting back-up and restore of environment for performing a function |
US9703584B2 (en) | 2013-01-08 | 2017-07-11 | Commvault Systems, Inc. | Virtual server agent load balancing |
US9710465B2 (en) | 2014-09-22 | 2017-07-18 | Commvault Systems, Inc. | Efficiently restoring execution of a backed up virtual machine based on coordination with virtual-machine-file-relocation operations |
US9740702B2 (en) | 2012-12-21 | 2017-08-22 | Commvault Systems, Inc. | Systems and methods to identify unprotected virtual machines |
US9823977B2 (en) | 2014-11-20 | 2017-11-21 | Commvault Systems, Inc. | Virtual machine change block tracking |
US9939981B2 (en) | 2013-09-12 | 2018-04-10 | Commvault Systems, Inc. | File manager integration with virtualization in an information management system with an enhanced storage manager, including user control and storage management of virtual machines |
US10152251B2 (en) | 2016-10-25 | 2018-12-11 | Commvault Systems, Inc. | Targeted backup of virtual machine |
US10162528B2 (en) | 2016-10-25 | 2018-12-25 | Commvault Systems, Inc. | Targeted snapshot based on virtual machine location |
US10204010B2 (en) | 2014-10-03 | 2019-02-12 | Commvault Systems, Inc. | Intelligent protection of off-line mail data |
CN109726038A (en) * | 2017-10-27 | 2019-05-07 | 伊姆西Ip控股有限责任公司 | Method and apparatus for managing virtual machine |
US10387073B2 (en) | 2017-03-29 | 2019-08-20 | Commvault Systems, Inc. | External dynamic virtual machine synchronization |
US10417102B2 (en) | 2016-09-30 | 2019-09-17 | Commvault Systems, Inc. | Heartbeat monitoring of virtual machines for initiating failover operations in a data storage management system, including virtual machine distribution logic |
US10474542B2 (en) | 2017-03-24 | 2019-11-12 | Commvault Systems, Inc. | Time-based virtual machine reversion |
US10565067B2 (en) | 2016-03-09 | 2020-02-18 | Commvault Systems, Inc. | Virtual server cloud file system for virtual machine backup from cloud operations |
EP3629179A1 (en) * | 2018-09-26 | 2020-04-01 | EMC IP Holding Company LLC | System and method for virtual machine resource tagging |
US10650057B2 (en) | 2014-07-16 | 2020-05-12 | Commvault Systems, Inc. | Volume or virtual machine level backup and generating placeholders for virtual machine files |
US10678758B2 (en) | 2016-11-21 | 2020-06-09 | Commvault Systems, Inc. | Cross-platform virtual machine data and memory backup and replication |
US10768971B2 (en) | 2019-01-30 | 2020-09-08 | Commvault Systems, Inc. | Cross-hypervisor live mount of backed up virtual machine data |
US10776209B2 (en) | 2014-11-10 | 2020-09-15 | Commvault Systems, Inc. | Cross-platform virtual machine backup and replication |
US10872069B2 (en) | 2019-01-22 | 2020-12-22 | Commvault Systems, Inc. | File indexing for virtual machine backups in a data storage management system |
US10877928B2 (en) | 2018-03-07 | 2020-12-29 | Commvault Systems, Inc. | Using utilities injected into cloud-based virtual machines for speeding up virtual machine backup operations |
US10936443B2 (en) | 2018-09-26 | 2021-03-02 | EMC IP Holding Company LLC | System and method for tag based backup infrastructure |
US10996974B2 (en) | 2019-01-30 | 2021-05-04 | Commvault Systems, Inc. | Cross-hypervisor live mount of backed up virtual machine data, including management of cache storage for virtual machine data |
CN113015963A (en) * | 2018-12-04 | 2021-06-22 | 深圳迈瑞生物医疗电子股份有限公司 | Automatic backup method, equipment and computer storage medium |
US11321189B2 (en) | 2014-04-02 | 2022-05-03 | Commvault Systems, Inc. | Information management by a media agent in the absence of communications with a storage manager |
US11347707B2 (en) | 2019-01-22 | 2022-05-31 | Commvault Systems, Inc. | File indexing for virtual machine backups based on using live browse features |
US11436210B2 (en) | 2008-09-05 | 2022-09-06 | Commvault Systems, Inc. | Classification of virtualization data |
US11442768B2 (en) | 2020-03-12 | 2022-09-13 | Commvault Systems, Inc. | Cross-hypervisor live recovery of virtual machines |
US11449394B2 (en) | 2010-06-04 | 2022-09-20 | Commvault Systems, Inc. | Failover systems and methods for performing backup operations, including heterogeneous indexing and load balancing of backup and indexing resources |
US11467753B2 (en) | 2020-02-14 | 2022-10-11 | Commvault Systems, Inc. | On-demand restore of virtual machine data |
US11500669B2 (en) | 2020-05-15 | 2022-11-15 | Commvault Systems, Inc. | Live recovery of virtual machines in a public cloud computing environment |
US11526404B2 (en) * | 2017-03-29 | 2022-12-13 | International Business Machines Corporation | Exploiting object tags to produce a work order across backup engines for a backup job |
US11550680B2 (en) | 2018-12-06 | 2023-01-10 | Commvault Systems, Inc. | Assigning backup resources in a data storage management system based on failover of partnered data storage resources |
US11656951B2 (en) | 2020-10-28 | 2023-05-23 | Commvault Systems, Inc. | Data loss vulnerability detection |
US11663099B2 (en) | 2020-03-26 | 2023-05-30 | Commvault Systems, Inc. | Snapshot-based disaster recovery orchestration of virtual machine failover and failback operations |
US12124338B2 (en) | 2023-04-10 | 2024-10-22 | Commvault Systems, Inc. | Data loss vulnerability detection |
Families Citing this family (65)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8769048B2 (en) | 2008-06-18 | 2014-07-01 | Commvault Systems, Inc. | Data protection scheduling, such as providing a flexible backup window in a data protection system |
US8725688B2 (en) | 2008-09-05 | 2014-05-13 | Commvault Systems, Inc. | Image level copy or restore, such as image level restore without knowledge of data object metadata |
US9461881B2 (en) | 2011-09-30 | 2016-10-04 | Commvault Systems, Inc. | Migration of existing computing systems to cloud computing sites or virtual machines |
US9026498B2 (en) | 2012-08-13 | 2015-05-05 | Commvault Systems, Inc. | Lightweight mounting of a secondary copy of file system data |
US9633216B2 (en) | 2012-12-27 | 2017-04-25 | Commvault Systems, Inc. | Application of information management policies based on operation with a geographic entity |
US9378035B2 (en) | 2012-12-28 | 2016-06-28 | Commvault Systems, Inc. | Systems and methods for repurposing virtual machines |
US9459968B2 (en) | 2013-03-11 | 2016-10-04 | Commvault Systems, Inc. | Single index to query multiple backup formats |
US11526403B1 (en) * | 2013-08-23 | 2022-12-13 | Acronis International Gmbh | Using a storage path to facilitate disaster recovery |
US9563385B1 (en) * | 2013-09-16 | 2017-02-07 | Amazon Technologies, Inc. | Profile-guided data preloading for virtualized resources |
US9658869B2 (en) * | 2014-01-06 | 2017-05-23 | International Business Machines Corporation | Autonomously managed virtual machine anti-affinity rules in cloud computing environments |
US10169121B2 (en) | 2014-02-27 | 2019-01-01 | Commvault Systems, Inc. | Work flow management for an information management system |
US9648100B2 (en) * | 2014-03-05 | 2017-05-09 | Commvault Systems, Inc. | Cross-system storage management for transferring data across autonomous information management systems |
US9740574B2 (en) | 2014-05-09 | 2017-08-22 | Commvault Systems, Inc. | Load balancing across multiple data paths |
US20160004605A1 (en) | 2014-07-01 | 2016-01-07 | Commvault Systems, Inc. | Lightweight data reconstruction based on backup data |
US9852026B2 (en) | 2014-08-06 | 2017-12-26 | Commvault Systems, Inc. | Efficient application recovery in an information management system based on a pseudo-storage-device driver |
US11249858B2 (en) | 2014-08-06 | 2022-02-15 | Commvault Systems, Inc. | Point-in-time backups of a production application made accessible over fibre channel and/or ISCSI as data sources to a remote application by representing the backups as pseudo-disks operating apart from the production application and its host |
US10284593B1 (en) * | 2015-01-15 | 2019-05-07 | EMC IP Holding Company LLC | Protecting newly restored clients from computer viruses |
US9892003B2 (en) * | 2015-02-11 | 2018-02-13 | International Business Machines Corporation | Method for automatically configuring backup client systems and backup server systems in a backup environment |
US9563514B2 (en) * | 2015-06-19 | 2017-02-07 | Commvault Systems, Inc. | Assignment of proxies for virtual-machine secondary copy operations including streaming backup jobs |
US9766825B2 (en) | 2015-07-22 | 2017-09-19 | Commvault Systems, Inc. | Browse and restore for block-level backups |
US10210165B2 (en) | 2015-09-04 | 2019-02-19 | Walmart Apollo, Llc | File management for eDiscovery |
US10938919B1 (en) * | 2015-09-15 | 2021-03-02 | EMC IP Holding Company LLC | Registering client devices with backup servers using domain name service records |
US10228962B2 (en) | 2015-12-09 | 2019-03-12 | Commvault Systems, Inc. | Live synchronization and management of virtual machines across computing and virtualization platforms and using live synchronization to support disaster recovery |
US10387266B2 (en) | 2015-12-23 | 2019-08-20 | Commvault Systems, Inc. | Application-level live synchronization across computing platforms including synchronizing co-resident applications to disparate standby destinations and selectively synchronizing some applications and not others |
US11734120B2 (en) * | 2016-01-01 | 2023-08-22 | Vmware, Inc. | Time-differential user interface for datacenter management |
US10296368B2 (en) | 2016-03-09 | 2019-05-21 | Commvault Systems, Inc. | Hypervisor-independent block-level live browse for access to backed up virtual machine (VM) data and hypervisor-free file-level recovery (block-level pseudo-mount) |
US10210048B2 (en) | 2016-10-25 | 2019-02-19 | Commvault Systems, Inc. | Selective snapshot and backup copy operations for individual virtual machines in a shared storage |
US10838821B2 (en) | 2017-02-08 | 2020-11-17 | Commvault Systems, Inc. | Migrating content and metadata from a backup system |
US10740193B2 (en) | 2017-02-27 | 2020-08-11 | Commvault Systems, Inc. | Hypervisor-independent reference copies of virtual machine payload data based on block-level pseudo-mount |
US10949308B2 (en) | 2017-03-15 | 2021-03-16 | Commvault Systems, Inc. | Application aware backup of virtual machines |
US10891069B2 (en) | 2017-03-27 | 2021-01-12 | Commvault Systems, Inc. | Creating local copies of data stored in online data repositories |
US10776329B2 (en) | 2017-03-28 | 2020-09-15 | Commvault Systems, Inc. | Migration of a database management system to cloud storage |
US11074140B2 (en) | 2017-03-29 | 2021-07-27 | Commvault Systems, Inc. | Live browsing of granular mailbox data |
US10949398B2 (en) | 2017-03-29 | 2021-03-16 | Commvault Systems, Inc. | Synchronization operations for network-accessible folders |
US10853195B2 (en) | 2017-03-31 | 2020-12-01 | Commvault Systems, Inc. | Granular restoration of virtual machine application data |
US10664352B2 (en) | 2017-06-14 | 2020-05-26 | Commvault Systems, Inc. | Live browsing of backed up data residing on cloned disks |
US11301487B1 (en) * | 2017-07-21 | 2022-04-12 | EMC IP Holding Company LLC | Automated server discovery |
US10795927B2 (en) | 2018-02-05 | 2020-10-06 | Commvault Systems, Inc. | On-demand metadata extraction of clinical image data |
US10754729B2 (en) | 2018-03-12 | 2020-08-25 | Commvault Systems, Inc. | Recovery point objective (RPO) driven backup scheduling in a data storage management system |
US10789387B2 (en) | 2018-03-13 | 2020-09-29 | Commvault Systems, Inc. | Graphical representation of an information management system |
US10452296B1 (en) | 2018-03-23 | 2019-10-22 | Amazon Technologies, Inc. | Accelerated volumes |
US10459655B1 (en) | 2018-04-30 | 2019-10-29 | Amazon Technologies, Inc. | Rapid volume backup generation from distributed replica |
US11343314B1 (en) | 2018-04-30 | 2022-05-24 | Amazon Technologies, Inc. | Stream-based logging for distributed storage systems |
US11023157B2 (en) | 2018-04-30 | 2021-06-01 | Amazon Technologies, Inc. | Intermediary duplication to facilitate copy requests in distributed storage systems |
US10768835B1 (en) | 2018-06-27 | 2020-09-08 | Amazon Technologies, Inc. | Opportunistic storage service |
US10956442B1 (en) | 2018-07-30 | 2021-03-23 | Amazon Technologies, Inc. | Dedicated source volume pool for accelerated creation of block data volumes from object data snapshots |
US10931750B1 (en) | 2018-07-30 | 2021-02-23 | Amazon Technologies, Inc. | Selection from dedicated source volume pool for accelerated creation of block data volumes |
US10860443B2 (en) | 2018-12-10 | 2020-12-08 | Commvault Systems, Inc. | Evaluation and reporting of recovery readiness in a data storage management system |
US11126365B2 (en) * | 2019-03-11 | 2021-09-21 | Commvault Systems, Inc. | Skipping data backed up in prior backup operations |
US11068192B1 (en) | 2019-03-26 | 2021-07-20 | Amazon Technologies, Inc. | Utilizing mutiple snapshot sources for creating new copy of volume in a networked environment wherein additional snapshot sources are reserved with lower performance levels than a primary snapshot source |
US10983719B1 (en) | 2019-03-28 | 2021-04-20 | Amazon Technologies, Inc. | Replica pools to support volume replication in distributed storage systems |
JP7131481B2 (en) * | 2019-05-28 | 2022-09-06 | 株式会社デンソー | vehicle equipment |
US11308034B2 (en) | 2019-06-27 | 2022-04-19 | Commvault Systems, Inc. | Continuously run log backup with minimal configuration and resource usage from the source machine |
US11593228B2 (en) | 2019-08-28 | 2023-02-28 | Commvault Systems, Inc. | Live browse cache enhacements for live browsing block-level backup copies of virtual machines and/or file systems |
US11669400B2 (en) | 2019-08-28 | 2023-06-06 | Commvault Systems, Inc. | Lightweight metadata handling for file indexing and live browse of backup copies |
US11175997B2 (en) | 2020-02-07 | 2021-11-16 | EMC IP Holding Company LLC | Using business continuity and disaster recovery for any point in time backup |
US11630597B2 (en) * | 2020-02-27 | 2023-04-18 | EMC IP Holding Company LLC | Any point in time backups and tier one storage replication |
CN111461054B (en) * | 2020-04-14 | 2021-04-27 | 上海月新生科信息科技有限公司 | Method for full-process automatic analysis of single particle analysis data of cryoelectron microscope |
US11327663B2 (en) | 2020-06-09 | 2022-05-10 | Commvault Systems, Inc. | Ensuring the integrity of data storage volumes used in block-level live synchronization operations in a data storage management system |
US11921589B2 (en) | 2020-06-23 | 2024-03-05 | EMC IP Holding Company LLC | Any point in time backup on secondary storage for distributed consistency groups |
US11262918B1 (en) | 2020-09-30 | 2022-03-01 | Amazon Technologies, Inc. | Data storage system with uneven drive wear reduction |
US11775393B2 (en) * | 2021-06-11 | 2023-10-03 | EMC IP Holding Company LLC | Method and system for mapping data protection services to data cluster components |
US11526286B1 (en) | 2021-06-29 | 2022-12-13 | Amazon Technologies, Inc. | Adaptive snapshot chunk sizing for snapshots of block storage volumes |
US11615147B2 (en) * | 2021-08-23 | 2023-03-28 | Commvault Systems, Inc. | Mobile storage manager control application for managing a storage manager of an information management system |
CN115964219A (en) * | 2021-10-08 | 2023-04-14 | 伊姆西Ip控股有限责任公司 | Method, electronic device and computer program product for recommending protection policy |
Citations (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050060356A1 (en) * | 2003-09-12 | 2005-03-17 | Hitachi, Ltd. | Backup system and method based on data characteristics |
US20060184935A1 (en) * | 2005-02-11 | 2006-08-17 | Timothy Abels | System and method using virtual machines for decoupling software from users and services |
US20060225065A1 (en) * | 2005-04-01 | 2006-10-05 | Microsoft Corporation | Using a data protection server to backup and restore data on virtual servers |
US20070220319A1 (en) * | 2006-02-03 | 2007-09-20 | Emc Corporation | Automatic classification of backup clients |
US20070266056A1 (en) * | 2006-05-09 | 2007-11-15 | Stacey Christopher H | Pass-through write policies of files in distributed storage management |
US20080282253A1 (en) * | 2007-05-10 | 2008-11-13 | Gerrit Huizenga | Method of managing resources within a set of processes |
US20090313260A1 (en) * | 2008-06-16 | 2009-12-17 | Yasuyuki Mimatsu | Methods and systems for assisting information processing by using storage system |
US20100070725A1 (en) * | 2008-09-05 | 2010-03-18 | Anand Prahlad | Systems and methods for management of virtualization data |
US20100107172A1 (en) * | 2003-12-31 | 2010-04-29 | Sychron Advanced Technologies, Inc. | System providing methodology for policy-based resource allocation |
US20100332456A1 (en) * | 2009-06-30 | 2010-12-30 | Anand Prahlad | Data object store and server for a cloud storage environment, including data deduplication and data management across multiple cloud storage sites |
US20110061045A1 (en) * | 2007-12-20 | 2011-03-10 | Virtual Computer, Inc. | Operating Systems in a Layerd Virtual Workspace |
US20110191559A1 (en) * | 2010-01-29 | 2011-08-04 | International Business Machines Corporation | System, method and computer program product for data processing and system deployment in a virtual environment |
US8060476B1 (en) * | 2008-07-14 | 2011-11-15 | Quest Software, Inc. | Backup systems and methods for a virtual computing environment |
US20120017043A1 (en) * | 2010-07-07 | 2012-01-19 | Nexenta Systems, Inc. | Method and system for heterogeneous data volume |
US8135930B1 (en) * | 2008-07-14 | 2012-03-13 | Vizioncore, Inc. | Replication systems and methods for a virtual computing environment |
US20120084262A1 (en) * | 2010-09-30 | 2012-04-05 | Rama Naga Bheemeswara Reddy Dwarampudi | Efficient data management improvements, such as docking limited-feature data management modules to a full-featured data management system |
US20120131578A1 (en) * | 2010-11-23 | 2012-05-24 | International Business Machines Corporation | Optimization of Virtual Appliance Deployment |
US20120151084A1 (en) * | 2010-12-10 | 2012-06-14 | Thanos Stathopoulos | Asynchronous virtual machine replication |
Family Cites Families (552)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4267568A (en) | 1975-12-03 | 1981-05-12 | System Development Corporation | Information storage and retrieval system |
US4084231A (en) | 1975-12-18 | 1978-04-11 | International Business Machines Corporation | System for facilitating the copying back of data in disc and tape units of a memory hierarchial system |
GB2035014B (en) | 1978-11-06 | 1982-09-29 | British Broadcasting Corp | Cyclic redundancy data check encoding method and apparatus |
US4417321A (en) | 1981-05-18 | 1983-11-22 | International Business Machines Corp. | Qualifying and sorting file record data |
US4641274A (en) | 1982-12-03 | 1987-02-03 | International Business Machines Corporation | Method for communicating changes made to text form a text processor to a remote host |
AU569857B2 (en) | 1982-12-09 | 1988-02-25 | Sequoia Systems, Inc. | Memory backup system |
US4686620A (en) | 1984-07-26 | 1987-08-11 | American Telephone And Telegraph Company, At&T Bell Laboratories | Database backup method |
GB8622010D0 (en) | 1986-09-12 | 1986-10-22 | Hewlett Packard Ltd | File backup facility |
US5193154A (en) | 1987-07-10 | 1993-03-09 | Hitachi, Ltd. | Buffered peripheral system and method for backing up and retrieving data to and from backup memory device |
US5005122A (en) | 1987-09-08 | 1991-04-02 | Digital Equipment Corporation | Arrangement with cooperating management server node and network service node |
JPH0743676B2 (en) | 1988-03-11 | 1995-05-15 | 株式会社日立製作所 | Back-up data dump control method and device |
US4912637A (en) | 1988-04-26 | 1990-03-27 | Tandem Computers Incorporated | Version management tool |
US4995035A (en) | 1988-10-31 | 1991-02-19 | International Business Machines Corporation | Centralized management in a computer network |
US5093912A (en) | 1989-06-26 | 1992-03-03 | International Business Machines Corporation | Dynamic resource pool expansion and contraction in multiprocessing environments |
ATE145998T1 (en) | 1989-06-30 | 1996-12-15 | Digital Equipment Corp | METHOD AND ARRANGEMENT FOR CONTROLLING SHADOW STORAGE |
US5454099A (en) | 1989-07-25 | 1995-09-26 | International Business Machines Corporation | CPU implemented method for backing up modified data sets in non-volatile store for recovery in the event of CPU failure |
US5133065A (en) | 1989-07-27 | 1992-07-21 | Personal Computer Peripherals Corporation | Backup computer program for networks |
US5321816A (en) | 1989-10-10 | 1994-06-14 | Unisys Corporation | Local-remote apparatus with specialized image storage modules |
US5504873A (en) | 1989-11-01 | 1996-04-02 | E-Systems, Inc. | Mass data storage and retrieval system |
US5276867A (en) | 1989-12-19 | 1994-01-04 | Epoch Systems, Inc. | Digital data storage system with improved data migration |
US5276860A (en) | 1989-12-19 | 1994-01-04 | Epoch Systems, Inc. | Digital data processor with improved backup storage |
JPH0410041A (en) | 1990-04-27 | 1992-01-14 | Toshiba Corp | Data saving system |
GB2246218B (en) | 1990-07-18 | 1994-02-09 | Stc Plc | Distributed data processing systems |
US5239647A (en) | 1990-09-07 | 1993-08-24 | International Business Machines Corporation | Data storage hierarchy with shared storage level |
US5544347A (en) | 1990-09-24 | 1996-08-06 | Emc Corporation | Data storage system controlled remote data mirroring with respectively maintained data indices |
US5301286A (en) | 1991-01-02 | 1994-04-05 | At&T Bell Laboratories | Memory archiving indexing arrangement |
US5212772A (en) | 1991-02-11 | 1993-05-18 | Gigatrend Incorporated | System for storing data in backup tape device |
US5287500A (en) | 1991-06-03 | 1994-02-15 | Digital Equipment Corporation | System for allocating storage spaces based upon required and optional service attributes having assigned piorities |
US5333315A (en) | 1991-06-27 | 1994-07-26 | Digital Equipment Corporation | System of device independent file directories using a tag between the directories and file descriptors that migrate with the files |
US5347653A (en) | 1991-06-28 | 1994-09-13 | Digital Equipment Corporation | System for reconstructing prior versions of indexes using records indicating changes between successive versions of the indexes |
US5410700A (en) | 1991-09-04 | 1995-04-25 | International Business Machines Corporation | Computer system which supports asynchronous commitment of data |
EP0541281B1 (en) | 1991-11-04 | 1998-04-29 | Commvault Systems, Inc. | Incremental-computer-file backup using signatures |
US5241670A (en) | 1992-04-20 | 1993-08-31 | International Business Machines Corporation | Method and system for automated backup copy ordering in a time zero backup copy session |
US5263154A (en) | 1992-04-20 | 1993-11-16 | International Business Machines Corporation | Method and system for incremental time zero backup copying of data |
US5241668A (en) | 1992-04-20 | 1993-08-31 | International Business Machines Corporation | Method and system for automated termination and resumption in a time zero backup copy process |
JP2551312B2 (en) | 1992-12-28 | 1996-11-06 | 日本電気株式会社 | Job step parallel execution method |
DE69403192T2 (en) | 1993-01-21 | 1997-12-04 | Apple Computer, Inc., Cupertino, Calif. | DEVICE AND METHOD FOR THE DATA BACKUP OF STORAGE UNITS IN A COMPUTER NETWORK |
WO1994018634A1 (en) | 1993-02-01 | 1994-08-18 | Lsc, Inc. | Archiving file system for data servers in a distributed network environment |
US5664204A (en) | 1993-03-22 | 1997-09-02 | Lichen Wang | Apparatus and method for supplying power and wake-up signal using host port's signal lines of opposite polarities |
JPH0721135A (en) | 1993-07-02 | 1995-01-24 | Fujitsu Ltd | Data processing system with duplex monitor function |
US5642496A (en) | 1993-09-23 | 1997-06-24 | Kanfi; Arnon | Method of making a backup copy of a memory over a plurality of copying sessions |
US5544345A (en) | 1993-11-08 | 1996-08-06 | International Business Machines Corporation | Coherence controls for store-multiple shared data coordinated by cache directory entries in a shared electronic storage |
EP0728333A1 (en) | 1993-11-09 | 1996-08-28 | Arcada Software | Data backup and restore system for a computer network |
US5495607A (en) | 1993-11-15 | 1996-02-27 | Conner Peripherals, Inc. | Network management system having virtual catalog overview of files distributively stored across network domain |
US5491810A (en) | 1994-03-01 | 1996-02-13 | International Business Machines Corporation | Method and system for automated data storage system space allocation utilizing prioritized data set parameters |
US5673381A (en) | 1994-05-27 | 1997-09-30 | Cheyenne Software International Sales Corp. | System and parallel streaming and data stripping to back-up a network |
US5638509A (en) | 1994-06-10 | 1997-06-10 | Exabyte Corporation | Data storage and protection system |
US5574906A (en) | 1994-10-24 | 1996-11-12 | International Business Machines Corporation | System and method for reducing storage requirement in backup subsystems utilizing segmented compression and differencing |
US5559957A (en) | 1995-05-31 | 1996-09-24 | Lucent Technologies Inc. | File system for a data storage device having a power fail recovery mechanism for write/replace operations |
US5699361A (en) | 1995-07-18 | 1997-12-16 | Industrial Technology Research Institute | Multimedia channel formulation mechanism |
US5813009A (en) | 1995-07-28 | 1998-09-22 | Univirtual Corp. | Computer based records management system method |
US5619644A (en) | 1995-09-18 | 1997-04-08 | International Business Machines Corporation | Software directed microcode state save for distributed storage controller |
US5819020A (en) | 1995-10-16 | 1998-10-06 | Network Specialists, Inc. | Real time backup system |
US5778395A (en) | 1995-10-23 | 1998-07-07 | Stac, Inc. | System for backing up files from disk volumes on multiple nodes of a computer network |
US5729743A (en) | 1995-11-17 | 1998-03-17 | Deltatech Research, Inc. | Computer apparatus and method for merging system deltas |
US5761677A (en) | 1996-01-03 | 1998-06-02 | Sun Microsystems, Inc. | Computer system method and apparatus providing for various versions of a file without requiring data copy or log operations |
KR970076238A (en) | 1996-05-23 | 1997-12-12 | 포만 제프리 엘 | Servers, methods and program products thereof for creating and managing multiple copies of client data files |
US5889935A (en) | 1996-05-28 | 1999-03-30 | Emc Corporation | Disaster control features for remote data mirroring |
US5812398A (en) | 1996-06-10 | 1998-09-22 | Sun Microsystems, Inc. | Method and system for escrowed backup of hotelled world wide web sites |
US6006227A (en) | 1996-06-28 | 1999-12-21 | Yale University | Document stream operating system |
US5835906A (en) | 1996-07-01 | 1998-11-10 | Sun Microsystems, Inc. | Methods and apparatus for sharing stored data objects in a computer system |
US5758359A (en) | 1996-10-24 | 1998-05-26 | Digital Equipment Corporation | Method and apparatus for performing retroactive backups in a computer system |
US5875478A (en) | 1996-12-03 | 1999-02-23 | Emc Corporation | Computer backup using a file system, network, disk, tape and remote archiving repository media system |
US6131095A (en) | 1996-12-11 | 2000-10-10 | Hewlett-Packard Company | Method of accessing a target entity over a communications network |
AU5929398A (en) | 1997-01-23 | 1998-08-18 | Overland Data, Inc. | Virtual media library |
US6658526B2 (en) | 1997-03-12 | 2003-12-02 | Storage Technology Corporation | Network attached virtual data storage subsystem |
US5924102A (en) | 1997-05-07 | 1999-07-13 | International Business Machines Corporation | System and method for managing critical files |
US6094416A (en) | 1997-05-09 | 2000-07-25 | I/O Control Corporation | Multi-tier architecture for control network |
US5887134A (en) | 1997-06-30 | 1999-03-23 | Sun Microsystems | System and method for preserving message order while employing both programmed I/O and DMA operations |
US6785786B1 (en) | 1997-08-29 | 2004-08-31 | Hewlett Packard Development Company, L.P. | Data backup and recovery systems |
EP0899662A1 (en) | 1997-08-29 | 1999-03-03 | Hewlett-Packard Company | Backup and restore system for a computer network |
US5950205A (en) | 1997-09-25 | 1999-09-07 | Cisco Technology, Inc. | Data transmission over the internet using a cache memory file system |
US6275953B1 (en) | 1997-09-26 | 2001-08-14 | Emc Corporation | Recovery from failure of a data processor in a network server |
US6052735A (en) | 1997-10-24 | 2000-04-18 | Microsoft Corporation | Electronic mail object synchronization between a desktop computer and mobile device |
US6021415A (en) | 1997-10-29 | 2000-02-01 | International Business Machines Corporation | Storage management system with file aggregation and space reclamation within aggregated files |
US6418478B1 (en) | 1997-10-30 | 2002-07-09 | Commvault Systems, Inc. | Pipelined high speed data transfer mechanism |
US6101585A (en) | 1997-11-04 | 2000-08-08 | Adaptec, Inc. | Mechanism for incremental backup of on-line files |
JPH11143754A (en) | 1997-11-05 | 1999-05-28 | Hitachi Ltd | Version information and constitution information display method and device therefor, and computer readable recording medium for recording version information and constitution information display program |
US6131190A (en) | 1997-12-18 | 2000-10-10 | Sidwell; Leland P. | System for modifying JCL parameters to optimize data storage allocations |
US6076148A (en) | 1997-12-26 | 2000-06-13 | Emc Corporation | Mass storage subsystem and backup arrangement for digital data processing system which permits information to be backed up while host computer(s) continue(s) operating in connection with information stored on mass storage subsystem |
US6154787A (en) | 1998-01-21 | 2000-11-28 | Unisys Corporation | Grouping shared resources into one or more pools and automatically re-assigning shared resources from where they are not currently needed to where they are needed |
US6260069B1 (en) | 1998-02-10 | 2001-07-10 | International Business Machines Corporation | Direct data retrieval in a distributed computing system |
EP0945800B1 (en) | 1998-03-02 | 2003-07-16 | Hewlett-Packard Company, A Delaware Corporation | Data backup system |
US6026414A (en) | 1998-03-05 | 2000-02-15 | International Business Machines Corporation | System including a proxy client to backup files in a distributed computing environment |
US6161111A (en) | 1998-03-31 | 2000-12-12 | Emc Corporation | System and method for performing file-handling operations in a digital data processing system using an operating system-independent file map |
US6167402A (en) | 1998-04-27 | 2000-12-26 | Sun Microsystems, Inc. | High performance message store |
US6397242B1 (en) | 1998-05-15 | 2002-05-28 | Vmware, Inc. | Virtualization system including a virtual machine monitor for a computer with a segmented architecture |
US6421711B1 (en) | 1998-06-29 | 2002-07-16 | Emc Corporation | Virtual ports for data transferring of a data storage system |
US6269431B1 (en) | 1998-08-13 | 2001-07-31 | Emc Corporation | Virtual storage and block level direct access of secondary storage for recovery of backup data |
GB2341249A (en) | 1998-08-17 | 2000-03-08 | Connected Place Limited | A method of generating a difference file defining differences between an updated file and a base file |
US6487561B1 (en) | 1998-12-31 | 2002-11-26 | Emc Corporation | Apparatus and methods for copying, backing up, and restoring data using a backup segment size larger than the storage block size |
US6212512B1 (en) | 1999-01-06 | 2001-04-03 | Hewlett-Packard Company | Integration of a database into file management software for protecting, tracking and retrieving data |
US7428212B2 (en) | 1999-01-15 | 2008-09-23 | Cisco Technology, Inc. | Best effort technique for virtual path restoration |
US6324581B1 (en) | 1999-03-03 | 2001-11-27 | Emc Corporation | File server system using file system storage, data movers, and an exchange of meta data among data movers for file locking and direct access to shared file systems |
US6389432B1 (en) | 1999-04-05 | 2002-05-14 | Auspex Systems, Inc. | Intelligent virtual volume access |
US6519679B2 (en) | 1999-06-11 | 2003-02-11 | Dell Usa, L.P. | Policy based storage configuration |
US7035880B1 (en) | 1999-07-14 | 2006-04-25 | Commvault Systems, Inc. | Modular backup and retrieval system used in conjunction with a storage area network |
US7395282B1 (en) | 1999-07-15 | 2008-07-01 | Commvault Systems, Inc. | Hierarchical backup and retrieval system |
US7389311B1 (en) | 1999-07-15 | 2008-06-17 | Commvault Systems, Inc. | Modular backup and retrieval system |
US6538669B1 (en) | 1999-07-15 | 2003-03-25 | Dell Products L.P. | Graphical user interface for configuration of a storage system |
US6820214B1 (en) | 1999-07-26 | 2004-11-16 | Microsoft Corporation | Automated system recovery via backup and restoration of system state |
US6343324B1 (en) | 1999-09-13 | 2002-01-29 | International Business Machines Corporation | Method and system for controlling access share storage devices in a network environment by configuring host-to-volume mapping data structures in the controller memory for granting and denying access to the devices |
US6564228B1 (en) | 2000-01-14 | 2003-05-13 | Sun Microsystems, Inc. | Method of enabling heterogeneous platforms to utilize a universal file system in a storage area network |
US7003641B2 (en) | 2000-01-31 | 2006-02-21 | Commvault Systems, Inc. | Logical view with granular access to exchange data managed by a modular data and storage management system |
US6542972B2 (en) | 2000-01-31 | 2003-04-01 | Commvault Systems, Inc. | Logical view and access to physical storage in modular data and storage management system |
US6658436B2 (en) | 2000-01-31 | 2003-12-02 | Commvault Systems, Inc. | Logical view and access to data managed by a modular data and storage management system |
US6760723B2 (en) | 2000-01-31 | 2004-07-06 | Commvault Systems Inc. | Storage management across multiple time zones |
US6721767B2 (en) | 2000-01-31 | 2004-04-13 | Commvault Systems, Inc. | Application specific rollback in a computer system |
US6581076B1 (en) | 2000-03-29 | 2003-06-17 | International Business Machines Corporation | Method and system for efficient file archiving and dearchiving in a DMD system |
US7356817B1 (en) | 2000-03-31 | 2008-04-08 | Intel Corporation | Real-time scheduling of virtual machines |
US6356801B1 (en) | 2000-05-19 | 2002-03-12 | International Business Machines Corporation | High availability work queuing in an automated data storage library |
US6330642B1 (en) | 2000-06-29 | 2001-12-11 | Bull Hn Informatin Systems Inc. | Three interconnected raid disk controller data processing system architecture |
ES2249450T3 (en) | 2000-07-05 | 2006-04-01 | ERNST & YOUNG LLP | METHOD AND APPLIANCE TO PROVIDE INFORMATIC SERVICES. |
US7822967B2 (en) | 2000-09-27 | 2010-10-26 | Huron Ip Llc | Apparatus, architecture, and method for integrated modular server system providing dynamically power-managed and work-load managed network devices |
JP2002215597A (en) | 2001-01-15 | 2002-08-02 | Mitsubishi Electric Corp | Multiprocessor device |
US7076270B2 (en) | 2001-02-28 | 2006-07-11 | Dell Products L.P. | Docking station for wireless communication device |
US7756835B2 (en) | 2001-03-23 | 2010-07-13 | Bea Systems, Inc. | Database and operating system independent copying/archiving of a web base application |
US20040185867A1 (en) | 2001-05-14 | 2004-09-23 | Alexander Wassew | Method for protecting against overload of a packet switching network node of a communication network |
US20020194511A1 (en) | 2001-06-18 | 2002-12-19 | Swoboda Gary L. | Apparatus and method for central processing unit power measurement in a digital signal processor |
US6721851B2 (en) | 2001-08-07 | 2004-04-13 | Veritas Operating Corporation | System and method for preventing sector slipping in a storage area network |
US6625704B2 (en) | 2001-08-08 | 2003-09-23 | Sangate Systems, Inc. | Data backup method and system using snapshot and virtual tape |
US7107298B2 (en) | 2001-09-28 | 2006-09-12 | Commvault Systems, Inc. | System and method for archiving objects in an information store |
CN1591405A (en) | 2001-11-09 | 2005-03-09 | 无锡永中科技有限公司 | Edition compatible data processing system |
US6990603B2 (en) | 2002-01-02 | 2006-01-24 | Exanet Inc. | Method and apparatus for securing volatile data in power failure in systems having redundancy |
US7392302B2 (en) | 2002-02-21 | 2008-06-24 | Bea Systems, Inc. | Systems and methods for automated service migration |
US7577722B1 (en) | 2002-04-05 | 2009-08-18 | Vmware, Inc. | Provisioning of computer systems using virtual machines |
JP2003316522A (en) | 2002-04-26 | 2003-11-07 | Hitachi Ltd | Computer system and method for controlling the same system |
US7107385B2 (en) | 2002-08-09 | 2006-09-12 | Network Appliance, Inc. | Storage virtualization by layering virtual disk objects on a file system |
US7873700B2 (en) | 2002-08-09 | 2011-01-18 | Netapp, Inc. | Multi-protocol storage appliance that provides integrated support for file and block access protocols |
JP2004102374A (en) | 2002-09-05 | 2004-04-02 | Hitachi Ltd | Information processing system having data transition device |
CA2498174C (en) | 2002-09-09 | 2010-04-13 | Commvault Systems, Inc. | Dynamic storage device pooling in a computer system |
AU2003272457A1 (en) | 2002-09-16 | 2004-04-30 | Commvault Systems, Inc. | System and method for blind media support |
GB2409553B (en) | 2002-09-16 | 2007-04-04 | Commvault Systems Inc | System and method for optimizing storage operations |
AU2003279847A1 (en) | 2002-10-07 | 2004-05-04 | Commvault Systems, Inc. | System and method for managing stored data |
US7240346B2 (en) | 2002-11-13 | 2007-07-03 | Microsoft Corporation | Method and system for accessing drawing resources |
WO2004046971A1 (en) | 2002-11-14 | 2004-06-03 | Isilon Systems, Inc. | Systems and methods for restriping files in a distributed file system |
WO2004047078A2 (en) | 2002-11-20 | 2004-06-03 | Filesx Ltd. | Fast backup storage and fast recovery of data (fbsrd) |
US7219162B2 (en) | 2002-12-02 | 2007-05-15 | International Business Machines Corporation | System and method for accessing content of a web page |
US7484208B1 (en) | 2002-12-12 | 2009-01-27 | Michael Nelson | Virtual machine migration |
US7590667B2 (en) | 2003-01-30 | 2009-09-15 | Hitachi, Ltd. | File replication method for distributed file systems |
JP2004302751A (en) | 2003-03-31 | 2004-10-28 | Hitachi Ltd | Method for managing performance of computer system and computer system managing performance of storage device |
US7174433B2 (en) | 2003-04-03 | 2007-02-06 | Commvault Systems, Inc. | System and method for dynamically sharing media in a computer network |
WO2004090675A2 (en) | 2003-04-03 | 2004-10-21 | Commvault Systems, Inc. | System and method for performing storage operations through a firewall |
US8209680B1 (en) | 2003-04-11 | 2012-06-26 | Vmware, Inc. | System and method for disk imaging on diverse computers |
US7181439B1 (en) | 2003-04-25 | 2007-02-20 | Network Appliance, Inc. | System and method for transparently accessing a virtual disk using a file-based protocol |
US20040230899A1 (en) | 2003-05-13 | 2004-11-18 | Pagnano Marco Aurelio De Oliveira | Arrangements, storage mediums and methods for associating an extensible stylesheet language device description file with a non- proprietary language device description file |
US7454569B2 (en) | 2003-06-25 | 2008-11-18 | Commvault Systems, Inc. | Hierarchical system and method for performing storage operations in a computer network |
US20050060704A1 (en) | 2003-09-17 | 2005-03-17 | International Business Machines Corporation | Managing processing within computing environments including initiation of virtual machines |
US7177967B2 (en) | 2003-09-30 | 2007-02-13 | Intel Corporation | Chipset support for managing hardware interrupts in a virtual machine system |
US7246174B2 (en) | 2003-10-28 | 2007-07-17 | Nacon Consulting, Llc | Method and system for accessing and managing virtual machines |
US7529782B2 (en) | 2003-11-13 | 2009-05-05 | Commvault Systems, Inc. | System and method for performing a snapshot and for restoring data |
US7546324B2 (en) | 2003-11-13 | 2009-06-09 | Commvault Systems, Inc. | Systems and methods for performing storage operations using network attached storage |
WO2005050385A2 (en) | 2003-11-13 | 2005-06-02 | Commvault Systems, Inc. | System and method for performing integrated storage operations |
WO2005065084A2 (en) | 2003-11-13 | 2005-07-21 | Commvault Systems, Inc. | System and method for providing encryption in pipelined storage operations in a storage network |
US7440982B2 (en) | 2003-11-13 | 2008-10-21 | Commvault Systems, Inc. | System and method for stored data archive verification |
US20050198303A1 (en) | 2004-01-02 | 2005-09-08 | Robert Knauerhase | Dynamic virtual machine service provider allocation |
US7383463B2 (en) | 2004-02-04 | 2008-06-03 | Emc Corporation | Internet protocol based disaster recovery of a server |
US7386744B2 (en) | 2004-03-15 | 2008-06-10 | Hewlett-Packard Development Company, L.P. | Rack equipment power pricing plan control system and method |
JP2006526229A (en) | 2004-04-20 | 2006-11-16 | イントロモバイル カンパニー リミテッド | Wait screen resource control and operation apparatus and method for mobile communication terminal apparatus |
US7424482B2 (en) | 2004-04-26 | 2008-09-09 | Storwize Inc. | Method and system for compression of data for block mode access storage |
CA2564967C (en) | 2004-04-30 | 2014-09-30 | Commvault Systems, Inc. | Hierarchical systems and methods for providing a unified view of storage information |
US8266406B2 (en) | 2004-04-30 | 2012-09-11 | Commvault Systems, Inc. | System and method for allocation of organizational resources |
US7502820B2 (en) | 2004-05-03 | 2009-03-10 | Microsoft Corporation | System and method for optimized property retrieval of stored objects |
US8108429B2 (en) | 2004-05-07 | 2012-01-31 | Quest Software, Inc. | System for moving real-time data events across a plurality of devices in a network for simultaneous data protection, replication, and access services |
US8055745B2 (en) | 2004-06-01 | 2011-11-08 | Inmage Systems, Inc. | Methods and apparatus for accessing data from a primary data storage system for secondary storage |
US8949395B2 (en) | 2004-06-01 | 2015-02-03 | Inmage Systems, Inc. | Systems and methods of event driven recovery management |
US7739527B2 (en) | 2004-08-11 | 2010-06-15 | Intel Corporation | System and method to enable processor management policy in a multi-processor environment |
US7330861B2 (en) | 2004-09-10 | 2008-02-12 | Hitachi, Ltd. | Remote copying system and method of controlling remote copying |
US20060058994A1 (en) | 2004-09-16 | 2006-03-16 | Nec Laboratories America, Inc. | Power estimation through power emulation |
US7500053B1 (en) | 2004-11-05 | 2009-03-03 | Commvvault Systems, Inc. | Method and system for grouping storage system components |
US7536291B1 (en) | 2004-11-08 | 2009-05-19 | Commvault Systems, Inc. | System and method to support simulated storage operations |
US7536525B2 (en) | 2004-11-09 | 2009-05-19 | Dell Products L.P. | Virtual machine hot cloning including freezing and unfreezing memory in a distributed network |
US8959299B2 (en) | 2004-11-15 | 2015-02-17 | Commvault Systems, Inc. | Using a snapshot as a data source |
US8775823B2 (en) | 2006-12-29 | 2014-07-08 | Commvault Systems, Inc. | System and method for encrypting secondary copies of data |
US7778984B2 (en) | 2004-11-19 | 2010-08-17 | Microsoft Corporation | System and method for a distributed object store |
CA2489619A1 (en) | 2004-12-07 | 2006-06-07 | Ibm Canada Limited - Ibm Canada Limitee | Method system and program product for managing a file system that includes an archive |
US9606821B2 (en) | 2004-12-17 | 2017-03-28 | Intel Corporation | Virtual environment manager for creating and managing virtual machine environments |
US7721138B1 (en) | 2004-12-28 | 2010-05-18 | Acronis Inc. | System and method for on-the-fly migration of server from backup |
US7475282B2 (en) | 2004-12-28 | 2009-01-06 | Acronis Inc. | System and method for rapid restoration of server from back up |
US7861234B1 (en) | 2005-02-23 | 2010-12-28 | Oracle America, Inc. | System and method for binary translation to improve parameter passing |
US7730486B2 (en) | 2005-02-28 | 2010-06-01 | Hewlett-Packard Development Company, L.P. | System and method for migrating virtual machines on cluster systems |
US20060230136A1 (en) | 2005-04-12 | 2006-10-12 | Kenneth Ma | Intelligent auto-archiving |
US7725893B2 (en) | 2005-04-28 | 2010-05-25 | Sap Aktiengesellschaft | Platform independent replication |
US8112605B2 (en) | 2005-05-02 | 2012-02-07 | Commvault Systems, Inc. | System and method for allocation of organizational resources |
US7827560B2 (en) | 2005-05-11 | 2010-11-02 | Siemens Aktiengesellschaft | System and method for time controlled program execution |
CN102117233B (en) | 2005-06-24 | 2013-07-17 | 信科索尔特公司 | System and method for high performance enterprise data protection |
US20070027999A1 (en) | 2005-07-29 | 2007-02-01 | Allen James P | Method for coordinated error tracking and reporting in distributed storage systems |
US8799431B2 (en) * | 2005-08-15 | 2014-08-05 | Toutvirtual Inc. | Virtual systems management |
US7716171B2 (en) | 2005-08-18 | 2010-05-11 | Emc Corporation | Snapshot indexing |
US8069271B2 (en) | 2005-10-12 | 2011-11-29 | Storage Appliance Corporation | Systems and methods for converting a media player into a backup device |
CN101346883A (en) | 2005-10-26 | 2009-01-14 | 斯多维兹有限公司 | Method and system for compression of data for block mode access storage |
US7877517B2 (en) | 2005-11-09 | 2011-01-25 | International Business Machines Corporation | Determining whether to compress data transmitted over a network |
US7660807B2 (en) | 2005-11-28 | 2010-02-09 | Commvault Systems, Inc. | Systems and methods for cataloging metadata for a metabase |
US7620710B2 (en) | 2005-12-19 | 2009-11-17 | Commvault Systems, Inc. | System and method for performing multi-path storage operations |
US7651593B2 (en) | 2005-12-19 | 2010-01-26 | Commvault Systems, Inc. | Systems and methods for performing data replication |
EP1974296B8 (en) | 2005-12-19 | 2016-09-21 | Commvault Systems, Inc. | Systems and methods for performing data replication |
US7617262B2 (en) | 2005-12-19 | 2009-11-10 | Commvault Systems, Inc. | Systems and methods for monitoring application data in a data replication system |
US7617253B2 (en) | 2005-12-19 | 2009-11-10 | Commvault Systems, Inc. | Destination systems and methods for performing data replication |
US7543125B2 (en) | 2005-12-19 | 2009-06-02 | Commvault Systems, Inc. | System and method for performing time-flexible calendric storage operations |
US7606844B2 (en) | 2005-12-19 | 2009-10-20 | Commvault Systems, Inc. | System and method for performing replication copy storage operations |
US7636743B2 (en) | 2005-12-19 | 2009-12-22 | Commvault Systems, Inc. | Pathname translation in a data replication system |
JPWO2007077600A1 (en) | 2005-12-28 | 2009-06-04 | 富士通株式会社 | Operation management program, operation management method, and operation management apparatus |
US7552279B1 (en) | 2006-01-03 | 2009-06-23 | Emc Corporation | System and method for multiple virtual computing environments in data storage environment |
US7788665B2 (en) | 2006-02-28 | 2010-08-31 | Microsoft Corporation | Migrating a virtual machine that owns a resource such as a hardware device |
US20070208918A1 (en) | 2006-03-01 | 2007-09-06 | Kenneth Harbin | Method and apparatus for providing virtual machine backup |
US8001342B2 (en) | 2006-03-29 | 2011-08-16 | International Business Machines Corporation | Method for storing and restoring persistent memory content and virtual machine state information |
US9397944B1 (en) | 2006-03-31 | 2016-07-19 | Teradici Corporation | Apparatus and method for dynamic communication scheduling of virtualized device traffic based on changing available bandwidth |
US9547485B2 (en) | 2006-03-31 | 2017-01-17 | Prowess Consulting, Llc | System and method for deploying a virtual machine |
US7823145B1 (en) | 2006-03-31 | 2010-10-26 | Vmware, Inc. | Updating software on dormant disks |
US7653794B2 (en) | 2006-05-08 | 2010-01-26 | Microsoft Corporation | Converting physical machines to virtual machines |
US8190571B2 (en) | 2006-06-07 | 2012-05-29 | Microsoft Corporation | Managing data with backup server indexing |
US8140785B2 (en) | 2006-06-29 | 2012-03-20 | International Business Machines Corporation | Updating metadata in a logical volume associated with a storage controller for data units indicated in a data structure |
JP4921054B2 (en) | 2006-07-07 | 2012-04-18 | 株式会社日立製作所 | Load balancing control system and load balancing control method |
US7987464B2 (en) | 2006-07-25 | 2011-07-26 | International Business Machines Corporation | Logical partitioning and virtualization in a heterogeneous architecture |
US7434096B2 (en) | 2006-08-11 | 2008-10-07 | Chicago Mercantile Exchange | Match server for a financial exchange having fault tolerant operation |
US8041985B2 (en) | 2006-08-11 | 2011-10-18 | Chicago Mercantile Exchange, Inc. | Match server for a financial exchange having fault tolerant operation |
US8121977B2 (en) | 2006-08-30 | 2012-02-21 | Iwmage Systems, Inc. | Ensuring data persistence and consistency in enterprise storage backup systems |
JP4236677B2 (en) | 2006-09-20 | 2009-03-11 | 株式会社日立製作所 | Recovery method using CDP |
US7640406B1 (en) | 2006-10-03 | 2009-12-29 | Emc Corporation | Detecting and managing orphan files between primary and secondary data stores for content addressed storage |
US7685177B1 (en) | 2006-10-03 | 2010-03-23 | Emc Corporation | Detecting and managing orphan files between primary and secondary data stores |
US7792789B2 (en) | 2006-10-17 | 2010-09-07 | Commvault Systems, Inc. | Method and system for collaborative searching |
US8655914B2 (en) | 2006-10-17 | 2014-02-18 | Commvault Systems, Inc. | System and method for storage operation access security |
US7882077B2 (en) | 2006-10-17 | 2011-02-01 | Commvault Systems, Inc. | Method and system for offline indexing of content and classifying stored data |
US8234641B2 (en) | 2006-10-17 | 2012-07-31 | Managelq, Inc. | Compliance-based adaptations in managed virtual systems |
US9038062B2 (en) | 2006-10-17 | 2015-05-19 | Manageiq, Inc. | Registering and accessing virtual systems for use in a managed system |
US8752045B2 (en) | 2006-10-17 | 2014-06-10 | Manageiq, Inc. | Methods and apparatus for using tags to control and manage assets |
US8185893B2 (en) | 2006-10-27 | 2012-05-22 | Hewlett-Packard Development Company, L.P. | Starting up at least one virtual machine in a physical machine by a load balancer |
EP2102750B1 (en) | 2006-12-04 | 2014-11-05 | Commvault Systems, Inc. | System and method for creating copies of data, such as archive copies |
US7444459B2 (en) | 2006-12-12 | 2008-10-28 | Lsi Logic Corporation | Methods and systems for load balancing of virtual machines in clustered processors using storage related load information |
US20080228771A1 (en) | 2006-12-22 | 2008-09-18 | Commvault Systems, Inc. | Method and system for searching stored data |
US7734669B2 (en) | 2006-12-22 | 2010-06-08 | Commvault Systems, Inc. | Managing copies of data |
US7840537B2 (en) | 2006-12-22 | 2010-11-23 | Commvault Systems, Inc. | System and method for storing redundant information |
US8201165B2 (en) | 2007-01-02 | 2012-06-12 | International Business Machines Corporation | Virtualizing the execution of homogeneous parallel systems on heterogeneous multiprocessor platforms |
JP4295326B2 (en) | 2007-01-10 | 2009-07-15 | 株式会社日立製作所 | Computer system |
US8554981B2 (en) | 2007-02-02 | 2013-10-08 | Vmware, Inc. | High availability virtual machine cluster |
US7925850B1 (en) | 2007-02-16 | 2011-04-12 | Vmware, Inc. | Page signature disambiguation for increasing the efficiency of virtual machine migration in shared-page virtualized computer systems |
US7711712B2 (en) | 2007-03-12 | 2010-05-04 | Hitachi, Ltd. | System and method for managing consistency among volumes based on application information |
US8397038B2 (en) | 2007-03-22 | 2013-03-12 | Vmware, Inc. | Initializing file data blocks |
US7941470B2 (en) | 2007-03-29 | 2011-05-10 | Vmware, Inc. | Synchronization and customization of a clone computer |
US8281301B2 (en) | 2007-03-30 | 2012-10-02 | Hitachi, Ltd. | Method and apparatus for controlling storage provisioning |
US20080250407A1 (en) | 2007-04-05 | 2008-10-09 | Microsoft Corporation | Network group name for virtual machines |
US7793307B2 (en) | 2007-04-06 | 2010-09-07 | Network Appliance, Inc. | Apparatus and method for providing virtualized hardware resources within a virtual execution environment |
US8479194B2 (en) | 2007-04-25 | 2013-07-02 | Microsoft Corporation | Virtual machine migration |
US7805631B2 (en) | 2007-05-03 | 2010-09-28 | Microsoft Corporation | Bare metal recovery from backup media to virtual machine |
US9354960B2 (en) | 2010-12-27 | 2016-05-31 | Red Hat, Inc. | Assigning virtual machines to business application service groups based on ranking of the virtual machines |
US9880906B2 (en) | 2007-06-27 | 2018-01-30 | Hewlett Packard Enterprise Development Lp | Drive resources in storage library behind virtual library |
US8635429B1 (en) | 2007-06-29 | 2014-01-21 | Symantec Corporation | Method and apparatus for mapping virtual drives |
US8554734B1 (en) | 2007-07-19 | 2013-10-08 | American Megatrends, Inc. | Continuous data protection journaling in data storage systems |
US8239646B2 (en) | 2007-07-31 | 2012-08-07 | Vmware, Inc. | Online virtual machine disk migration |
EP2195724B1 (en) | 2007-08-28 | 2019-10-09 | Commvault Systems, Inc. | Power management of data processing resources, such as power adaptive management of data storage operations |
US8332375B2 (en) | 2007-08-29 | 2012-12-11 | Nirvanix, Inc. | Method and system for moving requested files from one storage location to another |
US8191063B2 (en) | 2007-09-30 | 2012-05-29 | Symantex Corporation | Method for migrating a plurality of virtual machines by associating files and state information with a single logical container |
US8396838B2 (en) | 2007-10-17 | 2013-03-12 | Commvault Systems, Inc. | Legal compliance, electronic discovery and electronic document handling of online and offline copies of data |
US8407518B2 (en) | 2007-10-26 | 2013-03-26 | Vmware, Inc. | Using virtual machine cloning to create a backup virtual machine in a fault tolerant system |
US9473598B2 (en) | 2007-12-18 | 2016-10-18 | International Business Machines Corporation | Network connection failover during application service interruption |
US20090210427A1 (en) | 2008-02-15 | 2009-08-20 | Chris Eidler | Secure Business Continuity and Disaster Recovery Platform for Multiple Protected Systems |
US7882069B2 (en) | 2008-02-19 | 2011-02-01 | Oracle International Corp. | Tag based backup and recovery |
US8458419B2 (en) | 2008-02-27 | 2013-06-04 | International Business Machines Corporation | Method for application backup in the VMware consolidated backup framework |
US20090228669A1 (en) | 2008-03-10 | 2009-09-10 | Microsoft Corporation | Storage Device Optimization Using File Characteristics |
US7814074B2 (en) | 2008-03-14 | 2010-10-12 | International Business Machines Corporation | Method and system for assuring integrity of deduplicated data |
US8291180B2 (en) | 2008-03-20 | 2012-10-16 | Vmware, Inc. | Loose synchronization of virtual disks |
US8438347B1 (en) | 2008-03-27 | 2013-05-07 | Symantec Corporation | Techniques for proactive synchronization of backups on replication targets |
US7953945B2 (en) | 2008-03-27 | 2011-05-31 | International Business Machines Corporation | System and method for providing a backup/restore interface for third party HSM clients |
JP5405320B2 (en) | 2008-04-28 | 2014-02-05 | パナソニック株式会社 | Virtual machine control device, virtual machine control method, and virtual machine control program |
US10127059B2 (en) | 2008-05-02 | 2018-11-13 | Skytap | Multitenant hosted virtual machine infrastructure |
US8266099B2 (en) | 2008-05-29 | 2012-09-11 | Vmware, Inc. | Offloading storage operations to storage hardware using a third party server |
US8543998B2 (en) | 2008-05-30 | 2013-09-24 | Oracle International Corporation | System and method for building virtual appliances using a repository metadata server and a dependency resolution service |
US8959509B1 (en) | 2008-06-02 | 2015-02-17 | Symantec Corporation | Techniques for virtual machine backup scheduling |
US8121966B2 (en) * | 2008-06-05 | 2012-02-21 | International Business Machines Corporation | Method and system for automated integrated server-network-storage disaster recovery planning |
US8230256B1 (en) | 2008-06-06 | 2012-07-24 | Symantec Corporation | Method and apparatus for achieving high availability for an application in a computer cluster |
US8577845B2 (en) | 2008-06-13 | 2013-11-05 | Symantec Operating Corporation | Remote, granular restore from full virtual machine backup |
US20090319906A1 (en) | 2008-06-18 | 2009-12-24 | Eads Na Defense Security And Systems Solutions Inc | Systems and methods for reconstitution of network elements in a simulated network |
US8769048B2 (en) | 2008-06-18 | 2014-07-01 | Commvault Systems, Inc. | Data protection scheduling, such as providing a flexible backup window in a data protection system |
US8219524B2 (en) | 2008-06-24 | 2012-07-10 | Commvault Systems, Inc. | Application-aware and remote single instance data management |
US9098495B2 (en) | 2008-06-24 | 2015-08-04 | Commvault Systems, Inc. | Application-aware and remote single instance data management |
US8484162B2 (en) | 2008-06-24 | 2013-07-09 | Commvault Systems, Inc. | De-duplication systems and methods for application-specific data |
US7756964B2 (en) | 2008-06-26 | 2010-07-13 | Oracle America, Inc. | Modular integrated computing and storage |
US8229896B1 (en) | 2008-06-30 | 2012-07-24 | Symantec Corporation | Method and apparatus for identifying data blocks required for restoration |
US8037016B2 (en) | 2008-07-09 | 2011-10-11 | Dell Products L.P. | Adaptive storage system transcoder |
US8046550B2 (en) | 2008-07-14 | 2011-10-25 | Quest Software, Inc. | Systems and methods for performing backup operations of virtual machine files |
US7913047B2 (en) | 2008-08-01 | 2011-03-22 | Disney Enterprises, Inc. | Method and system for optimizing data backup |
US7917617B1 (en) | 2008-08-14 | 2011-03-29 | Netapp, Inc. | Mitigating rebaselining of a virtual machine (VM) |
US8495316B2 (en) | 2008-08-25 | 2013-07-23 | Symantec Operating Corporation | Efficient management of archival images of virtual machines having incremental snapshots |
US8037032B2 (en) | 2008-08-25 | 2011-10-11 | Vmware, Inc. | Managing backups using virtual machines |
US8307187B2 (en) | 2008-09-12 | 2012-11-06 | Vmware, Inc. | VDI Storage overcommit and rebalancing |
US9280335B2 (en) | 2010-09-30 | 2016-03-08 | International Business Machines Corporation | Semantically rich composable software image bundles |
US20100070474A1 (en) | 2008-09-12 | 2010-03-18 | Lad Kamleshkumar K | Transferring or migrating portions of data objects, such as block-level data migration or chunk-based data migration |
US20100070466A1 (en) | 2008-09-15 | 2010-03-18 | Anand Prahlad | Data transfer techniques within data storage devices, such as network attached storage performing data migration |
US9798560B1 (en) | 2008-09-23 | 2017-10-24 | Gogrid, LLC | Automated system and method for extracting and adapting system configurations |
US8452731B2 (en) | 2008-09-25 | 2013-05-28 | Quest Software, Inc. | Remote backup and restore |
US9015181B2 (en) | 2008-09-26 | 2015-04-21 | Commvault Systems, Inc. | Systems and methods for managing single instancing data |
US8200637B1 (en) | 2008-09-30 | 2012-06-12 | Symantec Operating Corporation | Block-based sparse backup images of file system volumes |
JP5346536B2 (en) | 2008-10-02 | 2013-11-20 | 株式会社日立ソリューションズ | Information backup / restore processing device and information backup / restore processing system |
US8200771B2 (en) | 2008-10-10 | 2012-06-12 | International Business Machines Corporation | Workload migration using on demand remote paging |
US8499297B2 (en) | 2008-10-28 | 2013-07-30 | Vmware, Inc. | Low overhead fault tolerance through hybrid checkpointing and replay |
US8386798B2 (en) | 2008-12-23 | 2013-02-26 | Unisys Corporation | Block-level data storage using an outstanding write list |
US8315992B1 (en) | 2008-11-26 | 2012-11-20 | Symantec Corporation | Affinity based allocation for storage implementations employing deduplicated data stores |
US9454368B2 (en) | 2009-01-21 | 2016-09-27 | Vmware, Inc. | Data mover permitting data transfer without transferring data between application and operating system |
US8243911B1 (en) | 2009-01-23 | 2012-08-14 | Sprint Communications Company L.P. | Failover mechanism based on historical usage data |
US8990801B2 (en) | 2009-01-30 | 2015-03-24 | Hewlett-Packard Development Company, L.P. | Server switch integration in a virtualized system |
US8549364B2 (en) | 2009-02-18 | 2013-10-01 | Vmware, Inc. | Failure detection and recovery of host computers in a cluster |
US9405347B2 (en) | 2009-02-26 | 2016-08-02 | Microsoft Technology Licensing, Llc | Power-saving operating system for virtual environment |
US8443166B2 (en) * | 2009-03-06 | 2013-05-14 | Vmware, Inc. | Method for tracking changes in virtual disks |
US8321863B2 (en) | 2009-03-06 | 2012-11-27 | Hitachi, Ltd. | Security management device and method |
US8099391B1 (en) | 2009-03-17 | 2012-01-17 | Symantec Corporation | Incremental and differential backups of virtual machine files |
US8434131B2 (en) | 2009-03-20 | 2013-04-30 | Commvault Systems, Inc. | Managing connections in a data storage system |
US8122140B2 (en) | 2009-03-27 | 2012-02-21 | Wyse Technology Inc. | Apparatus and method for accelerating streams through use of transparent proxy architecture |
US8578386B1 (en) | 2009-04-01 | 2013-11-05 | Netapp, Inc. | Processor scheduling method and system using domains |
US8191065B2 (en) | 2009-04-06 | 2012-05-29 | Red Hat Israel, Ltd. | Managing virtual machine images |
US20100262797A1 (en) | 2009-04-10 | 2010-10-14 | PHD Virtual Technologies | Virtual machine data backup |
US8205050B2 (en) | 2009-04-14 | 2012-06-19 | Novell, Inc. | Data backup for virtual machines |
US8086808B2 (en) | 2009-04-23 | 2011-12-27 | Hitachi, Ltd. | Method and system for migration between physical and virtual systems |
US8805788B2 (en) | 2009-05-04 | 2014-08-12 | Moka5, Inc. | Transactional virtual disk with differential snapshots |
US8156301B1 (en) | 2009-05-13 | 2012-04-10 | Symantec Corporation | Method and apparatus for synchronizing a physical machine with a virtual machine while the virtual machine is operational |
JP5227887B2 (en) | 2009-05-21 | 2013-07-03 | 株式会社日立製作所 | Backup management method |
US8578120B2 (en) | 2009-05-22 | 2013-11-05 | Commvault Systems, Inc. | Block-level single instancing |
US8689211B2 (en) | 2009-05-25 | 2014-04-01 | International Business Machines Corporation | Live migration of virtual machines in a computing environment |
US20100306486A1 (en) * | 2009-05-29 | 2010-12-02 | Sridhar Balasubramanian | Policy-based application aware storage array snapshot backup and restore technique |
US8527466B2 (en) | 2009-05-31 | 2013-09-03 | Red Hat Israel, Ltd. | Handling temporary files of a virtual machine |
US8234236B2 (en) | 2009-06-01 | 2012-07-31 | International Business Machines Corporation | System and method for efficient allocation of resources in virtualized desktop environments |
US20100332629A1 (en) | 2009-06-04 | 2010-12-30 | Lauren Ann Cotugno | Secure custom application cloud computing architecture |
US8135985B2 (en) | 2009-06-17 | 2012-03-13 | International Business Machines Corporation | High availability support for virtual machines |
US8955108B2 (en) | 2009-06-17 | 2015-02-10 | Microsoft Corporation | Security virtual machine for advanced auditing |
US9146755B2 (en) | 2009-07-08 | 2015-09-29 | Kaseya Limited | System and method for transporting platform independent power configuration parameters |
US8234469B2 (en) | 2009-07-09 | 2012-07-31 | Microsoft Corporation | Backup of virtual machines using cloned virtual machines |
US10120767B2 (en) | 2009-07-15 | 2018-11-06 | Idera, Inc. | System, method, and computer program product for creating a virtual database |
US8578374B2 (en) | 2009-07-16 | 2013-11-05 | Ca, Inc. | System and method for managing virtual machines |
US8613085B2 (en) | 2009-07-22 | 2013-12-17 | Broadcom Corporation | Method and system for traffic management via virtual machine migration |
US8566650B2 (en) | 2009-08-04 | 2013-10-22 | Red Hat Israel, Ltd. | Virtual machine infrastructure with storage domain monitoring |
US9239762B1 (en) | 2009-08-11 | 2016-01-19 | Symantec Corporation | Method and apparatus for virtualizing file system placeholders at a computer |
US8719767B2 (en) | 2011-03-31 | 2014-05-06 | Commvault Systems, Inc. | Utilizing snapshots to provide builds to developer computing devices |
US8706867B2 (en) | 2011-03-31 | 2014-04-22 | Commvault Systems, Inc. | Realtime streaming of multimedia content from secondary storage devices |
US8769535B2 (en) | 2009-09-24 | 2014-07-01 | Avaya Inc. | Providing virtual machine high-availability and fault tolerance via solid-state backup drives |
US9311378B2 (en) | 2009-10-09 | 2016-04-12 | International Business Machines Corporation | Data synchronization between a data management system and an external system |
US8578126B1 (en) | 2009-10-29 | 2013-11-05 | Netapp, Inc. | Mapping of logical start addresses to physical start addresses in a system having misalignment between logical and physical data blocks |
US8417907B2 (en) | 2009-10-29 | 2013-04-09 | Symantec Corporation | Synchronizing snapshot volumes across hosts |
US8621460B2 (en) | 2009-11-02 | 2013-12-31 | International Business Machines Corporation | Endpoint-hosted hypervisor management |
CA2783370C (en) | 2009-12-31 | 2016-03-15 | Commvault Systems, Inc. | Systems and methods for performing data management operations using snapshots |
US8473947B2 (en) | 2010-01-18 | 2013-06-25 | Vmware, Inc. | Method for configuring a physical adapter with virtual function (VF) and physical function (PF) for controlling address translation between virtual disks and physical storage regions |
US9477531B2 (en) | 2010-01-27 | 2016-10-25 | Vmware, Inc. | Accessing virtual disk content of a virtual machine without running a virtual desktop |
US8117492B1 (en) | 2010-01-29 | 2012-02-14 | Symantec Corporation | Techniques for backup error management |
US8397039B2 (en) | 2010-02-12 | 2013-03-12 | Symantec Corporation | Storage systems and methods |
US20110202728A1 (en) | 2010-02-17 | 2011-08-18 | Lsi Corporation | Methods and apparatus for managing cache persistence in a storage system using multiple virtual machines |
US8495317B2 (en) | 2010-02-22 | 2013-07-23 | Ca, Inc. | System and method for improving performance of data container backups |
US8458131B2 (en) | 2010-02-26 | 2013-06-04 | Microsoft Corporation | Opportunistic asynchronous de-duplication in block level backups |
US8478878B2 (en) | 2010-03-11 | 2013-07-02 | International Business Machines Corporation | Placement of virtual machines based on server cost and network cost |
US9710294B2 (en) | 2010-03-17 | 2017-07-18 | Zerto Ltd. | Methods and apparatus for providing hypervisor level data services for server virtualization |
US8560788B1 (en) | 2010-03-29 | 2013-10-15 | Emc Corporation | Method of performing backups using multiple streams |
US8352422B2 (en) | 2010-03-30 | 2013-01-08 | Commvault Systems, Inc. | Data restore systems and methods in a replication environment |
US20110252208A1 (en) | 2010-04-12 | 2011-10-13 | Microsoft Corporation | Express-full backup of a cluster shared virtual machine |
US8751857B2 (en) | 2010-04-13 | 2014-06-10 | Red Hat Israel, Ltd. | Monitoring of highly available virtual machines |
US8219769B1 (en) | 2010-05-04 | 2012-07-10 | Symantec Corporation | Discovering cluster resources to efficiently perform cluster backups and restores |
US8453145B1 (en) | 2010-05-06 | 2013-05-28 | Quest Software, Inc. | Systems and methods for instant provisioning of virtual machine files |
US8667171B2 (en) | 2010-05-28 | 2014-03-04 | Microsoft Corporation | Virtual data center allocation with bandwidth guarantees |
US8489676B1 (en) | 2010-06-30 | 2013-07-16 | Symantec Corporation | Technique for implementing seamless shortcuts in sharepoint |
US9135171B2 (en) | 2010-07-13 | 2015-09-15 | Vmware, Inc. | Method for improving save and restore performance in virtual machine systems |
US10162722B2 (en) | 2010-07-15 | 2018-12-25 | Veritas Technologies Llc | Virtual machine aware replication method and system |
US8566640B2 (en) | 2010-07-19 | 2013-10-22 | Veeam Software Ag | Systems, methods, and computer program products for instant recovery of image level backups |
TWI505189B (en) | 2010-08-27 | 2015-10-21 | Ibm | A method computer program and system for automatic upgrade of virtual appliances |
US20120072685A1 (en) | 2010-09-16 | 2012-03-22 | Hitachi, Ltd. | Method and apparatus for backup of virtual machine data |
US8799226B2 (en) * | 2010-09-28 | 2014-08-05 | International Business Machines Corporation | Prioritization of data items for backup in a computing environment |
US9304867B2 (en) | 2010-09-28 | 2016-04-05 | Amazon Technologies, Inc. | System and method for providing flexible storage and retrieval of snapshot archives |
US8572340B2 (en) | 2010-09-30 | 2013-10-29 | Commvault Systems, Inc. | Systems and methods for retaining and using data block signatures in data protection operations |
US8364652B2 (en) | 2010-09-30 | 2013-01-29 | Commvault Systems, Inc. | Content aligned block-based deduplication |
US9235474B1 (en) | 2011-02-17 | 2016-01-12 | Axcient, Inc. | Systems and methods for maintaining a virtual failover volume of a target computing system |
WO2012042509A1 (en) | 2010-10-01 | 2012-04-05 | Peter Chacko | A distributed virtual storage cloud architecture and a method thereof |
US8909767B2 (en) | 2010-10-13 | 2014-12-09 | Rackware, Inc. | Cloud federation in a cloud computing environment |
US9053339B2 (en) | 2010-10-27 | 2015-06-09 | Hytrust, Inc. | System and method for secure storage of virtual machines |
JP5606293B2 (en) | 2010-11-22 | 2014-10-15 | キヤノン株式会社 | Data processing apparatus, access control method and program |
CN103229142B (en) | 2010-11-23 | 2017-02-22 | 国际商业机器公司 | A method computer program and system for managing pre-requisite of a software product virtual image |
JP5541117B2 (en) | 2010-11-26 | 2014-07-09 | 富士通株式会社 | Virtual machine migration system, virtual machine migration program, and virtual machine migration method |
US8495108B2 (en) | 2010-11-30 | 2013-07-23 | International Business Machines Corporation | Virtual node subpool management |
US8688645B2 (en) | 2010-11-30 | 2014-04-01 | Netapp, Inc. | Incremental restore of data between storage systems having dissimilar storage operating systems associated therewith |
US8392378B2 (en) | 2010-12-09 | 2013-03-05 | International Business Machines Corporation | Efficient backup and restore of virtual input/output server (VIOS) cluster |
US9116850B2 (en) | 2010-12-14 | 2015-08-25 | Commvault Systems, Inc. | Client-side repository in a networked deduplicated storage system |
US9020900B2 (en) | 2010-12-14 | 2015-04-28 | Commvault Systems, Inc. | Distributed deduplicated storage system |
JP5555780B2 (en) | 2010-12-17 | 2014-07-23 | 株式会社日立製作所 | Information processing service failure recovery method and virtual machine image generation apparatus |
US9038066B2 (en) | 2010-12-22 | 2015-05-19 | Vmware, Inc. | In-place snapshots of a virtual disk configured with sparse extent |
US9020895B1 (en) | 2010-12-27 | 2015-04-28 | Netapp, Inc. | Disaster recovery for virtual machines across primary and secondary sites |
US8738883B2 (en) | 2011-01-19 | 2014-05-27 | Quantum Corporation | Snapshot creation from block lists |
US8832029B2 (en) | 2011-02-16 | 2014-09-09 | Microsoft Corporation | Incremental virtual machine backup supporting migration |
US8694764B2 (en) | 2011-02-24 | 2014-04-08 | Microsoft Corporation | Multi-phase resume from hibernate |
US9542215B2 (en) | 2011-09-30 | 2017-01-10 | V3 Systems, Inc. | Migrating virtual machines from a source physical support environment to a target physical support environment using master image and user delta collections |
JP5724477B2 (en) | 2011-03-10 | 2015-05-27 | 富士通株式会社 | Migration program, information processing apparatus, migration method, and information processing system |
US8849762B2 (en) | 2011-03-31 | 2014-09-30 | Commvault Systems, Inc. | Restoring computing environments, such as autorecovery of file systems at certain points in time |
US8972612B2 (en) | 2011-04-05 | 2015-03-03 | SSB Networks, Inc. | Collecting asymmetric data and proxy data on a communication network |
US8938643B1 (en) | 2011-04-22 | 2015-01-20 | Symantec Corporation | Cloning using streaming restore |
CN102761566B (en) | 2011-04-26 | 2015-09-23 | 国际商业机器公司 | The method and apparatus of migration virtual machine |
US9519496B2 (en) | 2011-04-26 | 2016-12-13 | Microsoft Technology Licensing, Llc | Detecting and preventing virtual disk storage linkage faults |
US8924967B2 (en) | 2011-04-28 | 2014-12-30 | Vmware, Inc. | Maintaining high availability of a group of virtual machines using heartbeat messages |
CN102760081B (en) | 2011-04-29 | 2016-01-27 | 国际商业机器公司 | The method and apparatus that resources of virtual machine distributes |
US9785523B2 (en) | 2011-06-20 | 2017-10-10 | Microsoft Technology Licensing, Llc | Managing replicated virtual storage at recovery sites |
WO2012176307A1 (en) | 2011-06-23 | 2012-12-27 | 株式会社日立製作所 | Storage administration system and storage administration method |
US8671249B2 (en) | 2011-07-22 | 2014-03-11 | Fusion-Io, Inc. | Apparatus, system, and method for managing storage capacity recovery |
US8689047B2 (en) | 2011-07-22 | 2014-04-01 | Microsoft Corporation | Virtual disk replication using log files |
US8533715B2 (en) | 2011-08-09 | 2013-09-10 | International Business Machines Corporation | Virtual machine management |
US20130054533A1 (en) | 2011-08-24 | 2013-02-28 | Microsoft Corporation | Verifying a data recovery component using a managed interface |
US20130074181A1 (en) | 2011-09-19 | 2013-03-21 | Cisco Technology, Inc. | Auto Migration of Services Within a Virtual Data Center |
US20130080841A1 (en) | 2011-09-23 | 2013-03-28 | Sungard Availability Services | Recover to cloud: recovery point objective analysis tool |
US9021459B1 (en) | 2011-09-28 | 2015-04-28 | Juniper Networks, Inc. | High availability in-service software upgrade using virtual machine instances in dual control units of a network device |
US8776043B1 (en) | 2011-09-29 | 2014-07-08 | Amazon Technologies, Inc. | Service image notifications |
US9372827B2 (en) | 2011-09-30 | 2016-06-21 | Commvault Systems, Inc. | Migration of an existing computing system to new hardware |
US9116633B2 (en) | 2011-09-30 | 2015-08-25 | Commvault Systems, Inc. | Information management of virtual machines having mapped storage devices |
US9461881B2 (en) | 2011-09-30 | 2016-10-04 | Commvault Systems, Inc. | Migration of existing computing systems to cloud computing sites or virtual machines |
US9069587B2 (en) | 2011-10-31 | 2015-06-30 | Stec, Inc. | System and method to cache hypervisor data |
US20130117744A1 (en) | 2011-11-03 | 2013-05-09 | Ocz Technology Group, Inc. | Methods and apparatus for providing hypervisor-level acceleration and virtualization services |
US9372707B2 (en) | 2011-11-18 | 2016-06-21 | Hitachi, Ltd. | Computer, virtual machine deployment method and program |
US9280378B2 (en) * | 2011-11-30 | 2016-03-08 | Red Hat, Inc. | Adjustment during migration to a different virtualization environment |
EP2788875A2 (en) | 2011-12-05 | 2014-10-15 | Persistent Telecom Solutions, Inc. | Universal pluggable cloud disaster recovery system |
US9292350B1 (en) | 2011-12-15 | 2016-03-22 | Symantec Corporation | Management and provisioning of virtual machines |
US9703647B2 (en) | 2011-12-30 | 2017-07-11 | Veritas Technologies Llc | Automated policy management in a virtual machine environment |
US8904008B2 (en) | 2012-01-09 | 2014-12-02 | Microsoft Corporation | Assignment of resources in virtual machine pools |
US8930542B2 (en) | 2012-01-23 | 2015-01-06 | International Business Machines Corporation | Dynamically building a set of compute nodes to host the user's workload |
US9268590B2 (en) | 2012-02-29 | 2016-02-23 | Vmware, Inc. | Provisioning a cluster of distributed computing platform based on placement strategy |
US9047133B2 (en) | 2012-03-02 | 2015-06-02 | Vmware, Inc. | Single, logical, multi-tier application blueprint used for deployment and management of multiple physical applications in a cloud environment |
US20130232215A1 (en) | 2012-03-05 | 2013-09-05 | Riverbed Technology, Inc. | Virtualized data storage system architecture using prefetching agent |
US20130238785A1 (en) | 2012-03-06 | 2013-09-12 | Rackspace Us, Inc. | System and Method for Metadata Discovery and Metadata-Aware Scheduling |
US9298715B2 (en) | 2012-03-07 | 2016-03-29 | Commvault Systems, Inc. | Data storage system utilizing proxy device for storage operations |
US9124633B1 (en) | 2012-03-29 | 2015-09-01 | Infoblox Inc. | IP address and domain name automation of virtual infrastructure |
US9110604B2 (en) | 2012-09-28 | 2015-08-18 | Emc Corporation | System and method for full virtual machine backup using storage system functionality |
US20130268774A1 (en) | 2012-04-06 | 2013-10-10 | Security First Corp. | Systems and methods for securing and restoring virtual machines |
US9342537B2 (en) | 2012-04-23 | 2016-05-17 | Commvault Systems, Inc. | Integrated snapshot interface for a data storage system |
US8966318B1 (en) | 2012-04-27 | 2015-02-24 | Symantec Corporation | Method to validate availability of applications within a backup image |
US9311248B2 (en) | 2012-05-07 | 2016-04-12 | Raytheon Cyber Products, Llc | Methods and apparatuses for monitoring activities of virtual machines |
US9246996B1 (en) | 2012-05-07 | 2016-01-26 | Amazon Technologies, Inc. | Data volume placement techniques |
US8904081B1 (en) | 2012-05-08 | 2014-12-02 | Vmware, Inc. | Composing a virtual disk using application delta disk images |
WO2013171805A1 (en) | 2012-05-18 | 2013-11-21 | Hitachi, Ltd. | Method for controlling backup and restoration, and storage system using the same |
TWI610166B (en) * | 2012-06-04 | 2018-01-01 | 飛康國際網路科技股份有限公司 | Automated disaster recovery and data migration system and method |
US9189170B2 (en) | 2012-06-12 | 2015-11-17 | Commvault Systems, Inc. | External storage manager for a data storage cell |
US8954796B1 (en) | 2012-06-26 | 2015-02-10 | Emc International Company | Recovery of a logical unit in a consistency group while replicating other logical units in the consistency group |
US20140007097A1 (en) | 2012-06-29 | 2014-01-02 | Brocade Communications Systems, Inc. | Dynamic resource allocation for virtual machines |
US9230096B2 (en) | 2012-07-02 | 2016-01-05 | Symantec Corporation | System and method for data loss prevention in a virtualized environment |
US9612966B2 (en) | 2012-07-03 | 2017-04-04 | Sandisk Technologies Llc | Systems, methods and apparatus for a virtual machine cache |
US9076021B2 (en) | 2012-07-16 | 2015-07-07 | Compellent Technologies | Encryption/decryption for data storage system with snapshot capability |
US8850146B1 (en) | 2012-07-27 | 2014-09-30 | Symantec Corporation | Backup of a virtual machine configured to perform I/O operations bypassing a hypervisor |
US20140040889A1 (en) | 2012-08-03 | 2014-02-06 | International Business Machines Corporation | Facilitating Customer-Initiated Virtual Machine Migration and Swapping |
US9026498B2 (en) | 2012-08-13 | 2015-05-05 | Commvault Systems, Inc. | Lightweight mounting of a secondary copy of file system data |
US8938481B2 (en) | 2012-08-13 | 2015-01-20 | Commvault Systems, Inc. | Generic file level restore from a block-level secondary copy |
US9141529B2 (en) | 2012-08-14 | 2015-09-22 | OCZ Storage Solutions Inc. | Methods and apparatus for providing acceleration of virtual machines in virtual environments |
US9268642B2 (en) | 2012-08-24 | 2016-02-23 | Vmware, Inc. | Protecting paired virtual machines |
JP5337916B1 (en) | 2012-09-25 | 2013-11-06 | 株式会社東芝 | Information processing system |
GB2507261A (en) | 2012-10-23 | 2014-04-30 | Ibm | Reverting to a snapshot of a VM by modifying metadata |
CN103810058B (en) | 2012-11-12 | 2017-02-22 | 华为技术有限公司 | Backup method, equipment and system for virtual machine |
US9063971B2 (en) | 2012-12-03 | 2015-06-23 | Red Hat Israel, Ltd. | Schema and query abstraction for different LDAP service providers |
US20140181438A1 (en) | 2012-12-21 | 2014-06-26 | Commvault Systems, Inc. | Filtered reference copy of secondary storage data in a data storage system |
US10162873B2 (en) | 2012-12-21 | 2018-12-25 | Red Hat, Inc. | Synchronization of physical disks |
US9223597B2 (en) | 2012-12-21 | 2015-12-29 | Commvault Systems, Inc. | Archiving virtual machines in a data storage system |
US9740702B2 (en) | 2012-12-21 | 2017-08-22 | Commvault Systems, Inc. | Systems and methods to identify unprotected virtual machines |
US9378035B2 (en) | 2012-12-28 | 2016-06-28 | Commvault Systems, Inc. | Systems and methods for repurposing virtual machines |
US9678978B2 (en) | 2012-12-31 | 2017-06-13 | Carbonite, Inc. | Systems and methods for automatic synchronization of recently modified data |
US20140196039A1 (en) | 2013-01-08 | 2014-07-10 | Commvault Systems, Inc. | Virtual machine categorization system and method |
US20140201151A1 (en) | 2013-01-11 | 2014-07-17 | Commvault Systems, Inc. | Systems and methods to select files for restoration from block-level backup for virtual machines |
US20140201157A1 (en) | 2013-01-11 | 2014-07-17 | Commvault Systems, Inc. | Systems and methods for rule-based virtual machine data protection |
US9665591B2 (en) | 2013-01-11 | 2017-05-30 | Commvault Systems, Inc. | High availability distributed deduplicated storage system |
US9286110B2 (en) | 2013-01-14 | 2016-03-15 | Commvault Systems, Inc. | Seamless virtual machine recall in a data storage system |
WO2014115188A1 (en) | 2013-01-28 | 2014-07-31 | Hitachi, Ltd. | Storage system and method for allocating resource |
US9165150B2 (en) | 2013-02-19 | 2015-10-20 | Symantec Corporation | Application and device control in a virtualized environment |
US9594837B2 (en) | 2013-02-26 | 2017-03-14 | Microsoft Technology Licensing, Llc | Prediction and information retrieval for intrinsically diverse sessions |
US9720717B2 (en) | 2013-03-14 | 2017-08-01 | Sandisk Technologies Llc | Virtualization support for storage devices |
US9235582B1 (en) | 2013-03-14 | 2016-01-12 | Emc Corporation | Tracking files excluded from backup |
US20140344323A1 (en) | 2013-03-15 | 2014-11-20 | Reactor8 Inc. | State-based configuration management for distributed systems |
US11188589B2 (en) | 2013-03-15 | 2021-11-30 | Wits(Md), Llc. | Associating received medical imaging data to stored medical imaging data |
US9405767B2 (en) | 2013-05-01 | 2016-08-02 | Microsoft Technology Licensing, Llc | Streaming content and placeholders |
US9183034B2 (en) | 2013-05-16 | 2015-11-10 | Vmware, Inc. | Managing availability of virtual machines in cloud computing services |
US9424136B1 (en) | 2013-06-12 | 2016-08-23 | Veritas Technologies Llc | Systems and methods for creating optimized synthetic backup images |
US8849764B1 (en) | 2013-06-13 | 2014-09-30 | DataGravity, Inc. | System and method of data intelligent storage |
US9213706B2 (en) | 2013-06-13 | 2015-12-15 | DataGravity, Inc. | Live restore for a data intelligent storage system |
US10089192B2 (en) | 2013-06-13 | 2018-10-02 | Hytrust, Inc. | Live restore for a data intelligent storage system |
US9575789B1 (en) | 2013-06-26 | 2017-02-21 | Veritas Technologies | Systems and methods for enabling migratory virtual machines to expedite access to resources |
US9043576B2 (en) | 2013-08-21 | 2015-05-26 | Simplivity Corporation | System and method for virtual machine conversion |
US11042309B1 (en) | 2013-08-23 | 2021-06-22 | Acronis International Gmbh | Recovery of virtual machine files using disk attachment |
US20150067393A1 (en) | 2013-08-27 | 2015-03-05 | Connectloud, Inc. | Method and apparatus to remotely take a snapshot of a complete virtual machine from a software defined cloud with backup and restore capacity |
US9939981B2 (en) | 2013-09-12 | 2018-04-10 | Commvault Systems, Inc. | File manager integration with virtualization in an information management system with an enhanced storage manager, including user control and storage management of virtual machines |
US9542281B2 (en) | 2013-09-17 | 2017-01-10 | Netapp, Inc. | Systems and methods for providing snapshots of applications to remote locations with minimal performance impact |
US10193963B2 (en) | 2013-10-24 | 2019-01-29 | Vmware, Inc. | Container virtual machines for hadoop |
US9098457B2 (en) | 2013-10-31 | 2015-08-04 | Vmware, Inc. | Visualizing disaster recovery plan execution for the cloud |
US9230001B2 (en) | 2013-11-14 | 2016-01-05 | Vmware, Inc. | Intelligent data propagation using performance monitoring |
US9665437B2 (en) | 2013-11-18 | 2017-05-30 | Actifio, Inc. | Test-and-development workflow automation |
US10241709B2 (en) | 2013-12-09 | 2019-03-26 | Vmware, Inc. | Elastic temporary filesystem |
US9639426B2 (en) | 2014-01-24 | 2017-05-02 | Commvault Systems, Inc. | Single snapshot for multiple applications |
US9495251B2 (en) | 2014-01-24 | 2016-11-15 | Commvault Systems, Inc. | Snapshot readiness checking and reporting |
US11194667B2 (en) | 2014-02-07 | 2021-12-07 | International Business Machines Corporation | Creating a restore copy from a copy of a full copy of source data in a repository that is at a different point-in-time than a restore point-in-time of a restore request |
WO2015123537A1 (en) | 2014-02-13 | 2015-08-20 | Ashok Ramu | Virtual data backup |
US9959177B2 (en) | 2014-02-27 | 2018-05-01 | Red Hat Israel, Ltd. | Backing up virtual machines |
US10216585B2 (en) | 2014-02-28 | 2019-02-26 | Red Hat Israel, Ltd. | Enabling disk image operations in conjunction with snapshot locking |
US11243707B2 (en) | 2014-03-12 | 2022-02-08 | Nutanix, Inc. | Method and system for implementing virtual machine images |
US9588847B1 (en) | 2014-03-25 | 2017-03-07 | EMC IP Holding Company LLC | Recovering corrupt virtual machine disks |
US9697228B2 (en) | 2014-04-14 | 2017-07-04 | Vembu Technologies Private Limited | Secure relational file system with version control, deduplication, and error correction |
US10203975B2 (en) | 2014-05-28 | 2019-02-12 | Red Hat Israel, Ltd. | Virtual machine template management |
US9594636B2 (en) | 2014-05-30 | 2017-03-14 | Datto, Inc. | Management of data replication and storage apparatuses, methods and systems |
US9477683B2 (en) | 2014-05-30 | 2016-10-25 | International Business Machines Corporation | Techniques for enabling coarse-grained volume snapshots for virtual machine backup and restore |
KR102482295B1 (en) | 2014-06-19 | 2022-12-30 | 리제너론 파마슈티칼스 인코포레이티드 | Non-human animals having a humanized programmed cell death 1 gene |
US9619342B2 (en) | 2014-06-24 | 2017-04-11 | International Business Machines Corporation | Back up and recovery in virtual machine environments |
US9626254B2 (en) | 2014-06-26 | 2017-04-18 | Hewlett Packard Enterprise Development Lp | Backup and non-staged recovery of virtual environment data |
US9430284B2 (en) | 2014-06-26 | 2016-08-30 | Vmware, Inc. | Processing virtual machine objects through multistep workflows |
US10097410B2 (en) | 2014-06-26 | 2018-10-09 | Vmware, Inc. | Methods and apparatus to scale application deployments in cloud computing environments |
US9898320B2 (en) | 2014-06-28 | 2018-02-20 | Vmware, Inc. | Using a delta query to seed live migration |
CN105446826A (en) | 2014-06-30 | 2016-03-30 | 国际商业机器公司 | Virtual machine backup and recovery method and device |
US20160004721A1 (en) | 2014-07-01 | 2016-01-07 | Commvault Systems, Inc. | Replicating local file systems as respective luns in a storage array, using block-level data transfers and enhanced storage managers, data agents, and media agents in an information management system |
US20160019317A1 (en) | 2014-07-16 | 2016-01-21 | Commvault Systems, Inc. | Volume or virtual machine level backup and generating placeholders for virtual machine files |
US9852026B2 (en) | 2014-08-06 | 2017-12-26 | Commvault Systems, Inc. | Efficient application recovery in an information management system based on a pseudo-storage-device driver |
US10360110B2 (en) | 2014-08-06 | 2019-07-23 | Commvault Systems, Inc. | Point-in-time backups of a production application made accessible over fibre channel and/or iSCSI as data sources to a remote application by representing the backups as pseudo-disks operating apart from the production application and its host |
US9684567B2 (en) | 2014-09-04 | 2017-06-20 | International Business Machines Corporation | Hypervisor agnostic interchangeable backup recovery and file level recovery from virtual disks |
US9710465B2 (en) | 2014-09-22 | 2017-07-18 | Commvault Systems, Inc. | Efficiently restoring execution of a backed up virtual machine based on coordination with virtual-machine-file-relocation operations |
US9436555B2 (en) | 2014-09-22 | 2016-09-06 | Commvault Systems, Inc. | Efficient live-mount of a backed up virtual machine in a storage management system |
US9417968B2 (en) | 2014-09-22 | 2016-08-16 | Commvault Systems, Inc. | Efficiently restoring execution of a backed up virtual machine based on coordination with virtual-machine-file-relocation operations |
US10102218B2 (en) | 2014-09-30 | 2018-10-16 | Microsoft Technology Licensing, Llc | File system with per-extent checksums |
US10776209B2 (en) | 2014-11-10 | 2020-09-15 | Commvault Systems, Inc. | Cross-platform virtual machine backup and replication |
US9983936B2 (en) | 2014-11-20 | 2018-05-29 | Commvault Systems, Inc. | Virtual machine change block tracking |
US9804927B2 (en) | 2014-12-27 | 2017-10-31 | Lenovo Enterprise Solutions (Singapore) Pte. Ltd. | Virtual machine distributed checkpointing |
CN104679907A (en) | 2015-03-24 | 2015-06-03 | 新余兴邦信息产业有限公司 | Realization method and system for high-availability and high-performance database cluster |
US9639274B2 (en) | 2015-04-14 | 2017-05-02 | Commvault Systems, Inc. | Efficient deduplication database validation |
US9904598B2 (en) | 2015-04-21 | 2018-02-27 | Commvault Systems, Inc. | Content-independent and database management system-independent synthetic full backup of a database based on snapshot technology |
US9715347B2 (en) | 2015-05-14 | 2017-07-25 | Netapp, Inc. | Virtual disk migration |
US20160350391A1 (en) | 2015-05-26 | 2016-12-01 | Commvault Systems, Inc. | Replication using deduplicated secondary copy data |
US10084873B2 (en) | 2015-06-19 | 2018-09-25 | Commvault Systems, Inc. | Assignment of data agent proxies for executing virtual-machine secondary copy operations including streaming backup jobs |
US9563514B2 (en) | 2015-06-19 | 2017-02-07 | Commvault Systems, Inc. | Assignment of proxies for virtual-machine secondary copy operations including streaming backup jobs |
US9760398B1 (en) | 2015-06-29 | 2017-09-12 | Amazon Technologies, Inc. | Automatic placement of virtual machine instances |
US10445186B1 (en) | 2015-06-30 | 2019-10-15 | EMC IP Holding Company LLC | Associating a guest application within a virtual machine to create dependencies in backup/restore policy |
US9766825B2 (en) | 2015-07-22 | 2017-09-19 | Commvault Systems, Inc. | Browse and restore for block-level backups |
US10628194B2 (en) | 2015-09-30 | 2020-04-21 | Netapp Inc. | Techniques for data migration |
US9747179B2 (en) | 2015-10-29 | 2017-08-29 | Netapp, Inc. | Data management agent for selective storage re-caching |
US10481984B1 (en) | 2015-11-23 | 2019-11-19 | Acronis International Gmbh | Backup of virtual machines from storage snapshot |
US10228962B2 (en) | 2015-12-09 | 2019-03-12 | Commvault Systems, Inc. | Live synchronization and management of virtual machines across computing and virtualization platforms and using live synchronization to support disaster recovery |
US10387266B2 (en) | 2015-12-23 | 2019-08-20 | Commvault Systems, Inc. | Application-level live synchronization across computing platforms including synchronizing co-resident applications to disparate standby destinations and selectively synchronizing some applications and not others |
US20170192868A1 (en) | 2015-12-30 | 2017-07-06 | Commvault Systems, Inc. | User interface for identifying a location of a failed secondary storage device |
US20170235647A1 (en) | 2016-02-12 | 2017-08-17 | Commvault Systems, Inc. | Data protection operations based on network path information |
US10684924B2 (en) | 2016-02-18 | 2020-06-16 | Commvault Systems, Inc. | Data restoration operations based on network path information |
US10482242B2 (en) | 2016-03-08 | 2019-11-19 | Tanium Inc. | System and method for performing event inquiries in a network |
US10296368B2 (en) | 2016-03-09 | 2019-05-21 | Commvault Systems, Inc. | Hypervisor-independent block-level live browse for access to backed up virtual machine (VM) data and hypervisor-free file-level recovery (block-level pseudo-mount) |
US10565067B2 (en) | 2016-03-09 | 2020-02-18 | Commvault Systems, Inc. | Virtual server cloud file system for virtual machine backup from cloud operations |
US10061657B1 (en) | 2016-03-23 | 2018-08-28 | EMC IP Holding Company LLC | Application intelligent snapshot backups |
US10445188B2 (en) | 2016-04-04 | 2019-10-15 | Vmware, Inc. | Method and system for virtualizing guest-generated file system snapshots |
US10417098B2 (en) | 2016-06-28 | 2019-09-17 | International Business Machines Corporation | File level access to block level incremental backups of a virtual disk |
US10417102B2 (en) | 2016-09-30 | 2019-09-17 | Commvault Systems, Inc. | Heartbeat monitoring of virtual machines for initiating failover operations in a data storage management system, including virtual machine distribution logic |
US10210048B2 (en) | 2016-10-25 | 2019-02-19 | Commvault Systems, Inc. | Selective snapshot and backup copy operations for individual virtual machines in a shared storage |
US10162528B2 (en) | 2016-10-25 | 2018-12-25 | Commvault Systems, Inc. | Targeted snapshot based on virtual machine location |
US10152251B2 (en) | 2016-10-25 | 2018-12-11 | Commvault Systems, Inc. | Targeted backup of virtual machine |
US10678758B2 (en) | 2016-11-21 | 2020-06-09 | Commvault Systems, Inc. | Cross-platform virtual machine data and memory backup and replication |
US20180143880A1 (en) | 2016-11-21 | 2018-05-24 | Commvault Systems, Inc. | Cross-platform virtual machine data and memory backup and resumption |
US10949308B2 (en) | 2017-03-15 | 2021-03-16 | Commvault Systems, Inc. | Application aware backup of virtual machines |
US20180276085A1 (en) | 2017-03-24 | 2018-09-27 | Commvault Systems, Inc. | Virtual machine recovery point generation |
US10776329B2 (en) | 2017-03-28 | 2020-09-15 | Commvault Systems, Inc. | Migration of a database management system to cloud storage |
US20180285202A1 (en) | 2017-03-29 | 2018-10-04 | Commvault Systems, Inc. | External fallback system for local computing systems |
US10387073B2 (en) | 2017-03-29 | 2019-08-20 | Commvault Systems, Inc. | External dynamic virtual machine synchronization |
US11074140B2 (en) | 2017-03-29 | 2021-07-27 | Commvault Systems, Inc. | Live browsing of granular mailbox data |
US10853195B2 (en) | 2017-03-31 | 2020-12-01 | Commvault Systems, Inc. | Granular restoration of virtual machine application data |
US10496547B1 (en) | 2017-05-10 | 2019-12-03 | Parallels International Gmbh | External disk cache for guest operating system in a virtualized environment |
US10417096B2 (en) | 2017-07-20 | 2019-09-17 | Vmware, Inc. | Multi-virtual machine time consistent snapshots |
US20190090305A1 (en) | 2017-09-20 | 2019-03-21 | Unisys Corporation | SYSTEM AND METHOD FOR PROVIDING SECURE AND REDUNDANT COMMUNICATIONS AND PROCESSING FOR A COLLECTION OF MULTI-STATE INTERNET OF THINGS (IoT) DEVICES |
US10996974B2 (en) | 2019-01-30 | 2021-05-04 | Commvault Systems, Inc. | Cross-hypervisor live mount of backed up virtual machine data, including management of cache storage for virtual machine data |
US10768971B2 (en) | 2019-01-30 | 2020-09-08 | Commvault Systems, Inc. | Cross-hypervisor live mount of backed up virtual machine data |
-
2013
- 2013-06-28 US US13/930,795 patent/US9740702B2/en active Active
- 2013-06-28 US US13/930,826 patent/US20140181046A1/en not_active Abandoned
- 2013-06-28 US US13/930,918 patent/US20140181038A1/en not_active Abandoned
- 2013-06-28 US US13/930,599 patent/US20140181044A1/en not_active Abandoned
-
2017
- 2017-08-07 US US15/670,381 patent/US10733143B2/en active Active
-
2020
- 2020-07-01 US US16/918,512 patent/US11544221B2/en active Active
- 2020-07-09 US US16/925,179 patent/US11468005B2/en active Active
Patent Citations (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050060356A1 (en) * | 2003-09-12 | 2005-03-17 | Hitachi, Ltd. | Backup system and method based on data characteristics |
US20100107172A1 (en) * | 2003-12-31 | 2010-04-29 | Sychron Advanced Technologies, Inc. | System providing methodology for policy-based resource allocation |
US20060184935A1 (en) * | 2005-02-11 | 2006-08-17 | Timothy Abels | System and method using virtual machines for decoupling software from users and services |
US20060225065A1 (en) * | 2005-04-01 | 2006-10-05 | Microsoft Corporation | Using a data protection server to backup and restore data on virtual servers |
US20070220319A1 (en) * | 2006-02-03 | 2007-09-20 | Emc Corporation | Automatic classification of backup clients |
US20070266056A1 (en) * | 2006-05-09 | 2007-11-15 | Stacey Christopher H | Pass-through write policies of files in distributed storage management |
US20080282253A1 (en) * | 2007-05-10 | 2008-11-13 | Gerrit Huizenga | Method of managing resources within a set of processes |
US20110061045A1 (en) * | 2007-12-20 | 2011-03-10 | Virtual Computer, Inc. | Operating Systems in a Layerd Virtual Workspace |
US20090313260A1 (en) * | 2008-06-16 | 2009-12-17 | Yasuyuki Mimatsu | Methods and systems for assisting information processing by using storage system |
US8060476B1 (en) * | 2008-07-14 | 2011-11-15 | Quest Software, Inc. | Backup systems and methods for a virtual computing environment |
US8135930B1 (en) * | 2008-07-14 | 2012-03-13 | Vizioncore, Inc. | Replication systems and methods for a virtual computing environment |
US20100070725A1 (en) * | 2008-09-05 | 2010-03-18 | Anand Prahlad | Systems and methods for management of virtualization data |
US20100332456A1 (en) * | 2009-06-30 | 2010-12-30 | Anand Prahlad | Data object store and server for a cloud storage environment, including data deduplication and data management across multiple cloud storage sites |
US8285681B2 (en) * | 2009-06-30 | 2012-10-09 | Commvault Systems, Inc. | Data object store and server for a cloud storage environment, including data deduplication and data management across multiple cloud storage sites |
US20110191559A1 (en) * | 2010-01-29 | 2011-08-04 | International Business Machines Corporation | System, method and computer program product for data processing and system deployment in a virtual environment |
US20120017043A1 (en) * | 2010-07-07 | 2012-01-19 | Nexenta Systems, Inc. | Method and system for heterogeneous data volume |
US20120084262A1 (en) * | 2010-09-30 | 2012-04-05 | Rama Naga Bheemeswara Reddy Dwarampudi | Efficient data management improvements, such as docking limited-feature data management modules to a full-featured data management system |
US20120131578A1 (en) * | 2010-11-23 | 2012-05-24 | International Business Machines Corporation | Optimization of Virtual Appliance Deployment |
US20120151084A1 (en) * | 2010-12-10 | 2012-06-14 | Thanos Stathopoulos | Asynchronous virtual machine replication |
Non-Patent Citations (1)
Title |
---|
Nance et al., "Viritual Machine Introspection: Observation or Interference?", 2008, IEEE. * |
Cited By (103)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11436210B2 (en) | 2008-09-05 | 2022-09-06 | Commvault Systems, Inc. | Classification of virtualization data |
US12001295B2 (en) | 2010-06-04 | 2024-06-04 | Commvault Systems, Inc. | Heterogeneous indexing and load balancing of backup and indexing resources |
US11449394B2 (en) | 2010-06-04 | 2022-09-20 | Commvault Systems, Inc. | Failover systems and methods for performing backup operations, including heterogeneous indexing and load balancing of backup and indexing resources |
US10824464B2 (en) | 2012-12-21 | 2020-11-03 | Commvault Systems, Inc. | Archiving virtual machines in a data storage system |
US9311121B2 (en) | 2012-12-21 | 2016-04-12 | Commvault Systems, Inc. | Archiving virtual machines in a data storage system |
US9286086B2 (en) | 2012-12-21 | 2016-03-15 | Commvault Systems, Inc. | Archiving virtual machines in a data storage system |
US9740702B2 (en) | 2012-12-21 | 2017-08-22 | Commvault Systems, Inc. | Systems and methods to identify unprotected virtual machines |
US11468005B2 (en) | 2012-12-21 | 2022-10-11 | Commvault Systems, Inc. | Systems and methods to identify unprotected virtual machines |
US10733143B2 (en) | 2012-12-21 | 2020-08-04 | Commvault Systems, Inc. | Systems and methods to identify unprotected virtual machines |
US10684883B2 (en) | 2012-12-21 | 2020-06-16 | Commvault Systems, Inc. | Archiving virtual machines in a data storage system |
US11544221B2 (en) | 2012-12-21 | 2023-01-03 | Commvault Systems, Inc. | Systems and methods to identify unprotected virtual machines |
US11099886B2 (en) | 2012-12-21 | 2021-08-24 | Commvault Systems, Inc. | Archiving virtual machines in a data storage system |
US9684535B2 (en) | 2012-12-21 | 2017-06-20 | Commvault Systems, Inc. | Archiving virtual machines in a data storage system |
US9965316B2 (en) | 2012-12-21 | 2018-05-08 | Commvault Systems, Inc. | Archiving virtual machines in a data storage system |
US11922197B2 (en) | 2013-01-08 | 2024-03-05 | Commvault Systems, Inc. | Virtual server agent load balancing |
US9703584B2 (en) | 2013-01-08 | 2017-07-11 | Commvault Systems, Inc. | Virtual server agent load balancing |
US10896053B2 (en) | 2013-01-08 | 2021-01-19 | Commvault Systems, Inc. | Virtual machine load balancing |
US10474483B2 (en) | 2013-01-08 | 2019-11-12 | Commvault Systems, Inc. | Virtual server agent load balancing |
US11734035B2 (en) | 2013-01-08 | 2023-08-22 | Commvault Systems, Inc. | Virtual machine load balancing |
US9977687B2 (en) | 2013-01-08 | 2018-05-22 | Commvault Systems, Inc. | Virtual server agent load balancing |
US10108652B2 (en) | 2013-01-11 | 2018-10-23 | Commvault Systems, Inc. | Systems and methods to process block-level backup for selective file restoration for virtual machines |
US9495404B2 (en) | 2013-01-11 | 2016-11-15 | Commvault Systems, Inc. | Systems and methods to process block-level backup for selective file restoration for virtual machines |
US9652283B2 (en) | 2013-01-14 | 2017-05-16 | Commvault Systems, Inc. | Creation of virtual machine placeholders in a data storage system |
US9286110B2 (en) | 2013-01-14 | 2016-03-15 | Commvault Systems, Inc. | Seamless virtual machine recall in a data storage system |
US9766989B2 (en) | 2013-01-14 | 2017-09-19 | Commvault Systems, Inc. | Creation of virtual machine placeholders in a data storage system |
US9489244B2 (en) | 2013-01-14 | 2016-11-08 | Commvault Systems, Inc. | Seamless virtual machine recall in a data storage system |
US9939981B2 (en) | 2013-09-12 | 2018-04-10 | Commvault Systems, Inc. | File manager integration with virtualization in an information management system with an enhanced storage manager, including user control and storage management of virtual machines |
US11010011B2 (en) | 2013-09-12 | 2021-05-18 | Commvault Systems, Inc. | File manager integration with virtualization in an information management system with an enhanced storage manager, including user control and storage management of virtual machines |
US20150261768A1 (en) * | 2014-03-13 | 2015-09-17 | Commvault Systems, Inc. | Systems and methods for protecting email data |
US9633026B2 (en) * | 2014-03-13 | 2017-04-25 | Commvault Systems, Inc. | Systems and methods for protecting email data |
US10671566B2 (en) | 2014-03-13 | 2020-06-02 | Commvault Systems, Inc. | Systems and methods for protecting email data |
US11321189B2 (en) | 2014-04-02 | 2022-05-03 | Commvault Systems, Inc. | Information management by a media agent in the absence of communications with a storage manager |
US20170010941A1 (en) * | 2014-05-30 | 2017-01-12 | Hitachi, Ltd. | Method for adjusting backup schedule for virtual computer |
US11625439B2 (en) | 2014-07-16 | 2023-04-11 | Commvault Systems, Inc. | Volume or virtual machine level backup and generating placeholders for virtual machine files |
US10650057B2 (en) | 2014-07-16 | 2020-05-12 | Commvault Systems, Inc. | Volume or virtual machine level backup and generating placeholders for virtual machine files |
US9436555B2 (en) | 2014-09-22 | 2016-09-06 | Commvault Systems, Inc. | Efficient live-mount of a backed up virtual machine in a storage management system |
US9417968B2 (en) | 2014-09-22 | 2016-08-16 | Commvault Systems, Inc. | Efficiently restoring execution of a backed up virtual machine based on coordination with virtual-machine-file-relocation operations |
US9996534B2 (en) | 2014-09-22 | 2018-06-12 | Commvault Systems, Inc. | Efficiently restoring execution of a backed up virtual machine based on coordination with virtual-machine-file-relocation operations |
US10048889B2 (en) | 2014-09-22 | 2018-08-14 | Commvault Systems, Inc. | Efficient live-mount of a backed up virtual machine in a storage management system |
US9710465B2 (en) | 2014-09-22 | 2017-07-18 | Commvault Systems, Inc. | Efficiently restoring execution of a backed up virtual machine based on coordination with virtual-machine-file-relocation operations |
US10572468B2 (en) | 2014-09-22 | 2020-02-25 | Commvault Systems, Inc. | Restoring execution of a backed up virtual machine based on coordination with virtual-machine-file-relocation operations |
US10437505B2 (en) | 2014-09-22 | 2019-10-08 | Commvault Systems, Inc. | Efficiently restoring execution of a backed up virtual machine based on coordination with virtual-machine-file-relocation operations |
US9928001B2 (en) | 2014-09-22 | 2018-03-27 | Commvault Systems, Inc. | Efficiently restoring execution of a backed up virtual machine based on coordination with virtual-machine-file-relocation operations |
US10452303B2 (en) | 2014-09-22 | 2019-10-22 | Commvault Systems, Inc. | Efficient live-mount of a backed up virtual machine in a storage management system |
US10983863B2 (en) | 2014-10-03 | 2021-04-20 | Commvault Systems, Inc. | Intelligent protection of data |
US10204010B2 (en) | 2014-10-03 | 2019-02-12 | Commvault Systems, Inc. | Intelligent protection of off-line mail data |
US10776209B2 (en) | 2014-11-10 | 2020-09-15 | Commvault Systems, Inc. | Cross-platform virtual machine backup and replication |
US9996287B2 (en) | 2014-11-20 | 2018-06-12 | Commvault Systems, Inc. | Virtual machine change block tracking |
US11422709B2 (en) | 2014-11-20 | 2022-08-23 | Commvault Systems, Inc. | Virtual machine change block tracking |
US9983936B2 (en) | 2014-11-20 | 2018-05-29 | Commvault Systems, Inc. | Virtual machine change block tracking |
US12061798B2 (en) | 2014-11-20 | 2024-08-13 | Commvault Systems, Inc. | Virtual machine change block tracking |
US10509573B2 (en) | 2014-11-20 | 2019-12-17 | Commvault Systems, Inc. | Virtual machine change block tracking |
US9823977B2 (en) | 2014-11-20 | 2017-11-21 | Commvault Systems, Inc. | Virtual machine change block tracking |
US20170026421A1 (en) * | 2015-07-24 | 2017-01-26 | Samsung Electronics Co., Ltd. | Apparatus and method for supporting back-up and restore of environment for performing a function |
US10592350B2 (en) | 2016-03-09 | 2020-03-17 | Commvault Systems, Inc. | Virtual server cloud file system for virtual machine restore to cloud operations |
US12038814B2 (en) | 2016-03-09 | 2024-07-16 | Commvault Systems, Inc. | Virtual server cloud file system for backing up cloud-based virtual machine data |
US10565067B2 (en) | 2016-03-09 | 2020-02-18 | Commvault Systems, Inc. | Virtual server cloud file system for virtual machine backup from cloud operations |
US10474548B2 (en) | 2016-09-30 | 2019-11-12 | Commvault Systems, Inc. | Heartbeat monitoring of virtual machines for initiating failover operations in a data storage management system, using ping monitoring of target virtual machines |
US11429499B2 (en) | 2016-09-30 | 2022-08-30 | Commvault Systems, Inc. | Heartbeat monitoring of virtual machines for initiating failover operations in a data storage management system, including operations by a master monitor node |
US10747630B2 (en) | 2016-09-30 | 2020-08-18 | Commvault Systems, Inc. | Heartbeat monitoring of virtual machines for initiating failover operations in a data storage management system, including operations by a master monitor node |
US10896104B2 (en) | 2016-09-30 | 2021-01-19 | Commvault Systems, Inc. | Heartbeat monitoring of virtual machines for initiating failover operations in a data storage management system, using ping monitoring of target virtual machines |
US10417102B2 (en) | 2016-09-30 | 2019-09-17 | Commvault Systems, Inc. | Heartbeat monitoring of virtual machines for initiating failover operations in a data storage management system, including virtual machine distribution logic |
US10824459B2 (en) | 2016-10-25 | 2020-11-03 | Commvault Systems, Inc. | Targeted snapshot based on virtual machine location |
US10152251B2 (en) | 2016-10-25 | 2018-12-11 | Commvault Systems, Inc. | Targeted backup of virtual machine |
US10162528B2 (en) | 2016-10-25 | 2018-12-25 | Commvault Systems, Inc. | Targeted snapshot based on virtual machine location |
US11416280B2 (en) | 2016-10-25 | 2022-08-16 | Commvault Systems, Inc. | Targeted snapshot based on virtual machine location |
US11934859B2 (en) | 2016-10-25 | 2024-03-19 | Commvault Systems, Inc. | Targeted snapshot based on virtual machine location |
US10678758B2 (en) | 2016-11-21 | 2020-06-09 | Commvault Systems, Inc. | Cross-platform virtual machine data and memory backup and replication |
US11436202B2 (en) | 2016-11-21 | 2022-09-06 | Commvault Systems, Inc. | Cross-platform virtual machine data and memory backup and replication |
US10474542B2 (en) | 2017-03-24 | 2019-11-12 | Commvault Systems, Inc. | Time-based virtual machine reversion |
US10983875B2 (en) | 2017-03-24 | 2021-04-20 | Commvault Systems, Inc. | Time-based virtual machine reversion |
US11526410B2 (en) | 2017-03-24 | 2022-12-13 | Commvault Systems, Inc. | Time-based virtual machine reversion |
US12032455B2 (en) | 2017-03-24 | 2024-07-09 | Commvault Systems, Inc. | Time-based virtual machine reversion |
US10896100B2 (en) | 2017-03-24 | 2021-01-19 | Commvault Systems, Inc. | Buffered virtual machine replication |
US10877851B2 (en) | 2017-03-24 | 2020-12-29 | Commvault Systems, Inc. | Virtual machine recovery point selection |
US11249864B2 (en) | 2017-03-29 | 2022-02-15 | Commvault Systems, Inc. | External dynamic virtual machine synchronization |
US10387073B2 (en) | 2017-03-29 | 2019-08-20 | Commvault Systems, Inc. | External dynamic virtual machine synchronization |
US11669414B2 (en) | 2017-03-29 | 2023-06-06 | Commvault Systems, Inc. | External dynamic virtual machine synchronization |
US11526404B2 (en) * | 2017-03-29 | 2022-12-13 | International Business Machines Corporation | Exploiting object tags to produce a work order across backup engines for a backup job |
CN109726038A (en) * | 2017-10-27 | 2019-05-07 | 伊姆西Ip控股有限责任公司 | Method and apparatus for managing virtual machine |
US10877928B2 (en) | 2018-03-07 | 2020-12-29 | Commvault Systems, Inc. | Using utilities injected into cloud-based virtual machines for speeding up virtual machine backup operations |
US11520736B2 (en) | 2018-03-07 | 2022-12-06 | Commvault Systems, Inc. | Using utilities injected into cloud-based virtual machines for speeding up virtual machine backup operations |
US10936443B2 (en) | 2018-09-26 | 2021-03-02 | EMC IP Holding Company LLC | System and method for tag based backup infrastructure |
US10922122B2 (en) | 2018-09-26 | 2021-02-16 | EMC IP Holding Company LLC | System and method for virtual machine resource tagging |
EP3629179A1 (en) * | 2018-09-26 | 2020-04-01 | EMC IP Holding Company LLC | System and method for virtual machine resource tagging |
CN113015963A (en) * | 2018-12-04 | 2021-06-22 | 深圳迈瑞生物医疗电子股份有限公司 | Automatic backup method, equipment and computer storage medium |
US11550680B2 (en) | 2018-12-06 | 2023-01-10 | Commvault Systems, Inc. | Assigning backup resources in a data storage management system based on failover of partnered data storage resources |
US10872069B2 (en) | 2019-01-22 | 2020-12-22 | Commvault Systems, Inc. | File indexing for virtual machine backups in a data storage management system |
US11347707B2 (en) | 2019-01-22 | 2022-05-31 | Commvault Systems, Inc. | File indexing for virtual machine backups based on using live browse features |
US11449486B2 (en) | 2019-01-22 | 2022-09-20 | Commvault Systems, Inc. | File indexing for virtual machine backups in a data storage management system |
US11947990B2 (en) | 2019-01-30 | 2024-04-02 | Commvault Systems, Inc. | Cross-hypervisor live-mount of backed up virtual machine data |
US10996974B2 (en) | 2019-01-30 | 2021-05-04 | Commvault Systems, Inc. | Cross-hypervisor live mount of backed up virtual machine data, including management of cache storage for virtual machine data |
US11467863B2 (en) | 2019-01-30 | 2022-10-11 | Commvault Systems, Inc. | Cross-hypervisor live mount of backed up virtual machine data |
US10768971B2 (en) | 2019-01-30 | 2020-09-08 | Commvault Systems, Inc. | Cross-hypervisor live mount of backed up virtual machine data |
US11714568B2 (en) | 2020-02-14 | 2023-08-01 | Commvault Systems, Inc. | On-demand restore of virtual machine data |
US11467753B2 (en) | 2020-02-14 | 2022-10-11 | Commvault Systems, Inc. | On-demand restore of virtual machine data |
US11442768B2 (en) | 2020-03-12 | 2022-09-13 | Commvault Systems, Inc. | Cross-hypervisor live recovery of virtual machines |
US11663099B2 (en) | 2020-03-26 | 2023-05-30 | Commvault Systems, Inc. | Snapshot-based disaster recovery orchestration of virtual machine failover and failback operations |
US11748143B2 (en) | 2020-05-15 | 2023-09-05 | Commvault Systems, Inc. | Live mount of virtual machines in a public cloud computing environment |
US11500669B2 (en) | 2020-05-15 | 2022-11-15 | Commvault Systems, Inc. | Live recovery of virtual machines in a public cloud computing environment |
US12086624B2 (en) | 2020-05-15 | 2024-09-10 | Commvault Systems, Inc. | Live recovery of virtual machines in a public cloud computing environment based on temporary live mount |
US11656951B2 (en) | 2020-10-28 | 2023-05-23 | Commvault Systems, Inc. | Data loss vulnerability detection |
US12124338B2 (en) | 2023-04-10 | 2024-10-22 | Commvault Systems, Inc. | Data loss vulnerability detection |
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US11544221B2 (en) | 2023-01-03 |
US20180067955A1 (en) | 2018-03-08 |
US11468005B2 (en) | 2022-10-11 |
US9740702B2 (en) | 2017-08-22 |
US10733143B2 (en) | 2020-08-04 |
US20200334201A1 (en) | 2020-10-22 |
US20200341945A1 (en) | 2020-10-29 |
US20140181045A1 (en) | 2014-06-26 |
US20140181044A1 (en) | 2014-06-26 |
US20140181046A1 (en) | 2014-06-26 |
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