Patent Grant
11836156
A portion of the disclosure of this patent document contains material which is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document and/or the patent disclosure as it appears in the United States Patent and Trademark Office patent file and/or records, but otherwise reserves all copyrights whatsoever.
Businesses 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. A company might back up critical computing systems such as databases, file servers, web servers, virtual machines, and so on as part of a daily, weekly, or monthly maintenance schedule. The company may similarly protect computing systems used by 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, for example by migrating data to lower-cost storage over time, reducing redundant data, pruning lower priority data, etc. Enterprises also increasingly view their stored data as a valuable asset and look for solutions that not only protect and manage, but also leverage their data. For instance, data analysis capabilities, information management, improved data presentation and access features, and the like, are in increasing demand.
Systems and methods are disclosed for performing improved snapshot replication operations based on incremental block change tracking. Such systems and methods may facilitate maintenance of mirror copies of primary data for data restoration and application recovery. By tracking incremental block changes between snapshots, such systems and methods may reduce the amount of time and computing resources needed to perform snapshot backups and replications. Examples of such systems and methods are described in further detail herein, in reference to
Various embodiments described herein are intimately tied to, enabled by, and would not exist except for, computer technology. For example, performing improved snapshot replication operations based on incremental block change tracking described herein in reference to various embodiments cannot reasonably be performed by humans alone, without the computer technology upon which they are implemented.
Information Management System Overview
With the increasing importance of protecting and leveraging data, organizations simply cannot risk losing critical data. Moreover, runaway data growth and other modern realities make protecting and managing data increasingly difficult. 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 may be many data production sources which are under the purview of tens, hundreds, or even thousands of individuals. In the past, individuals were sometimes responsible for managing and protecting their own data, and a patchwork of hardware and software point solutions may have been used in any given organization. These solutions were often provided by different vendors and had limited or no interoperability. Certain embodiments described herein address these and other shortcomings of prior approaches by implementing scalable, unified, organization-wide information management, including data storage management.
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 by reference in its entirety herein:
Information management system 100 can include a variety of computing devices and computing technologies. For instance, system 100 can include one or more client computing devices 102 and secondary storage computing devices 106, as well as storage manager 140 or a host computing device for it. Computing devices can include, without limitation, one or more: workstations, personal computers, desktop computers, or other types of generally fixed computing systems such as mainframe computers, servers, and minicomputers. Other computing devices can 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. Servers can include mail servers, file servers, database servers, and web servers. Computing devices may comprise one or more processors (e.g., CPU and/or single-core or multi-core processors), as well as non-transitory computer-readable memory (e.g., random-access memory (RAM)) for storing computer programs to be executed by the one or more processors. Other computer-readable memory for mass storage of data may be packaged/configured with the computing device (e.g., an internal hard disk) and/or may be external and accessible by the computing device (e.g., network-attached storage).
In some cases, a computing device includes cloud computing resources, which may be virtual machines. For instance, one or more virtual machines may be provided to the organization by a third-party cloud service vendor. In some embodiments, computing devices can include one or more virtual machine(s) running on a physical host computing device (or “host machine”) 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, both virtual machines operating on the same host machine.
A virtual machine includes an operating system and associated virtual resources, and is hosted simultaneously with another operating system on a physical host computer (or host machine). A hypervisor (typically software, and also known in the art as a virtual machine monitor or a virtual machine manager or “VMM”) sits between the virtual machine and the hardware of the physical host machine. Examples of hypervisors as virtualization software include ESX Server, by VMware, Inc. of Palo Alto, Calif.; Microsoft Virtual Server and Microsoft Windows Server Hyper-V, both by Microsoft Corporation of Redmond, Wash.; and Sun xVM by Oracle America Inc. of Santa Clara, Calif. In some embodiments, the hypervisor may be firmware or hardware or a combination of software and/or firmware and/or hardware. The hypervisor provides resources to each virtual operating system such as a virtual processor, virtual memory, a virtual network device, and a virtual disk. Each virtual machine has one or more virtual disks. The hypervisor typically stores the data of virtual disks in files on the file system of the physical host machine, called virtual machine disk files (in VMware lingo) or virtual hard disk image files (in Microsoft lingo). For example, VMware's ESX Server provides the Virtual Machine File System (VMFS) for the storage of virtual machine disk files. A virtual machine reads data from and writes data to its virtual disk much the way that a physical machine reads data from and writes data to a physical disk. Examples of techniques for implementing information management in a cloud computing environment are described in U.S. Pat. No. 8,285,681. Examples of techniques for implementing information management in a virtualized computing environment are described in U.S. Pat. No. 8,307,177.
Information management system 100 can also include a variety of electronic data storage devices, generally used for mass storage of data, including, e.g., primary storage devices 104 and secondary storage devices 108. Storage devices can generally be of any suitable type including, without limitation, disk drives, storage arrays (e.g., storage-area network (SAN) and/or network-attached storage (NAS) technology), semiconductor memory (e.g., solid state storage devices), network attached storage (NAS) devices, tape libraries or other magnetic, non-tape storage devices, optical media storage devices, DNA/RNA-based memory technology, combinations of the same, etc. In some embodiments, storage devices can form part of a distributed file system. In some cases, storage devices are provided in a cloud storage environment (e.g., a private cloud or one operated by a third-party vendor), whether for primary data or secondary copies or both.
Depending on context, the term “information management system” can refer to generally all of the illustrated hardware and software components in
Information management system 100 includes one or more client computing devices 102 having an operating system and at least one application 110 executing thereon; and one or more primary storage devices 104 storing primary data 112. Client computing device(s) 102 and primary storage devices 104 may generally be referred to in some cases as primary storage subsystem 117.
Client Computing Devices, Clients, and Subclients
Typically, a variety of sources in an organization 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, a database server, a transaction server, or the like. In system 100, data generation sources include one or more client computing devices 102. A computing device that has a data agent 142 installed and operating on it is generally referred to as a “client computing device” 102, and may include any type of computing device, without limitation. A client computing device 102 may be associated with one or more users and/or user accounts.
A “client” is a logical component of information management system 100, which may represent a logical grouping of one or more data agents installed on a client computing device 102. Storage manager 140 recognizes a client as a component of system 100, and in some embodiments, may automatically create a client component the first time a data agent 142 is installed on a client computing device 102. Because data generated by executable component(s) 110 is tracked by the associated data agent 142 so that it may be properly protected in system 100, a client may be said to generate data and to store the generated data to primary storage, such as primary storage device 104. However, the terms “client” and “client computing device” as used herein do not imply that a client computing device 102 is necessarily configured in the client/server sense relative to another computing device such as a mail server, or that a client computing device 102 cannot be a server in its own right. As just a few examples, a client computing device 102 can be and/or include mail servers, file servers, database servers, and web servers.
Each client computing device 102 may have application(s) 110 executing thereon which generate and manipulate the data that is to be protected from loss and managed in system 100. Applications 110 generally facilitate the operations of an organization, 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 or database management systems (e.g., SQL, Oracle, SAP, Lotus Notes Database), word processing applications (e.g., Microsoft Word), spreadsheet applications, financial applications, presentation applications, graphics and/or video applications, browser applications, mobile applications, entertainment applications, and so on. Each application 110 may be accompanied by an application-specific data agent 142. A file system, e.g., Microsoft Windows Explorer, may be considered an application 110 and may be accompanied by its own data agent 142. Client computing devices 102 can have at least one operating system (e.g., Microsoft Windows, Mac OS X, iOS, IBM z/OS, Linux, other Unix-based operating systems, etc.) installed thereon, which may support or host one or more file systems and other applications 110. In some embodiments, a virtual machine that executes on a host client computing device 102 may be considered an application 110 and may be accompanied by a specific data agent 142 (e.g., virtual server data agent).
Client computing devices 102 and other components in system 100 can be connected to one another via one or more electronic communication pathways 114. For example, a first communication pathway 114 may communicatively couple client computing device 102 and secondary storage computing device 106; a second communication pathway 114 may communicatively couple storage manager 140 and client computing device 102; and a third communication pathway 114 may communicatively couple storage manager 140 and secondary storage computing device 106, etc. (see, e.g.,
A “subclient” is a logical grouping of all or part of a client's primary data 112. In general a subclient may be defined according to how the subclient data is to be protected as a unit in system 100. For example, a subclient may be associated with a certain storage policy. A given client may thus comprise several subclients, each subclient associated with a different storage policy. For example, some files may form a first subclient that requires compression and deduplication and is associated with a first storage policy. Other files of the client may form a second subclient that requires a different retention schedule as well as encryption, and may be associated with a different, second storage policy. As a result, though the primary data may be generated by the same application 110, and may belong to one given client, portions of the data may be assigned to different subclients for distinct treatment by the information management system. More detail on subclients is given in regard to storage policies below.
Primary Data and Exemplary Primary Storage Devices
Primary data 112 is generally production data or other “live” data generated by the operating system and/or applications 110 executing on client computing device 102. Primary data 112 is generally stored on primary storage device(s) 104 and is organized via a file system operating on the client computing device 102. Thus, 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 stored body 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 application 110.
Primary storage devices 104 storing primary data 112 may be relatively fast and/or expensive technology (e.g., a disk drive, a hard-disk storage array, solid state memory, etc.), typically because they must support high-performance live production environments. Primary data 112 may be highly changeable and/or may be intended for relatively short term retention (e.g., hours, days, or weeks). According to some embodiments, client computing device 102 can access primary data 112 stored in primary storage device 104 by making conventional file system calls via the operating system. Primary data 112 may include structured data (e.g., database files), unstructured data (e.g., documents), and/or semi-structured data. See, e.g.,
It can be useful in performing certain tasks to organize primary data 112 into units of different granularities. In general, primary data 112 can include files, directories, file system volumes, data blocks, extents, or any other hierarchies or organizations of data objects. As used herein, a “data object” can refer to (i) 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 (ii) a subset of such a file (e.g., a data block, an extent, etc.).
It can also be useful in performing certain functions of system 100 to access and modify metadata within primary data 112. Metadata generally includes information about data objects and/or characteristics associated with the data objects. For simplicity herein, it is to be understood that, unless expressly stated otherwise, any reference to primary data 112 generally also includes its associated metadata, but references to metadata generally do not include the primary data. 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), user-supplied tags, 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), geographic location (e.g., GPS coordinates), 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), 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 other similar information related to the data object. In addition to metadata generated by or related to file systems and operating systems, some applications 110 and/or other components of system 100 maintain indices of metadata for data objects, e.g., metadata associated with individual email messages. The use of metadata to perform classification and other functions is described in greater detail below.
Each client computing device 102 is generally associated with and/or in communication with one or more 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: routing and/or storing data (e.g., primary data 112) to the particular primary storage device 104, coordinating the routing and/or storing of data to the particular primary storage device 104, retrieving data from the particular primary storage device 104, coordinating the retrieval of data from the particular primary storage device 104, and modifying and/or deleting data in the particular primary storage device 104. A client computing device 102 may be said to access data stored in an associated storage device 104.
Primary storage device 104 may be dedicated or shared. In some cases, each primary storage device 104 is dedicated to an associated client computing device 102, e.g., a local disk drive. In other cases, one or more primary storage devices 104 can be shared by multiple client computing devices 102, e.g., via a local network, in a cloud storage implementation, etc. As one example, primary storage device 104 can be a storage array shared by a group of client computing devices 102, such as EMC Clariion, EMC Symmetrix, EMC Celerra, Dell EqualLogic, IBM XIV, NetApp FAS, HP EVA, and HP 3PAR.
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 system 100. For instance, the hosted services may be provided by online service providers. Such service providers can provide social networking services, hosted email services, or hosted productivity applications or other hosted applications such as 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 services users, each hosted service may generate additional data and metadata, which may be managed by system 100, e.g., as primary data 112. In some cases, the hosted services may be accessed using one of the applications 110. As an example, a hosted mail service may be accessed via browser running on a client computing device 102.
Secondary Copies and Exemplary Secondary Storage Devices
Primary data 112 stored on primary storage devices 104 may be compromised in some cases, such as when an employee deliberately or accidentally deletes or overwrites primary data 112. Or primary storage devices 104 can be damaged, lost, or otherwise corrupted. For recovery and/or regulatory compliance purposes, it is therefore useful to generate and maintain copies of primary data 112. Accordingly, 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 primary data 112 including its associated metadata. The secondary storage computing devices 106 and the secondary storage devices 108 may be referred to as secondary storage subsystem 118.
Creation of secondary copies 116 can help in search and analysis efforts and meet other information management goals as well, such as: restoring data and/or metadata if an original version 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 in the production system and/or in secondary storage; 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.
A secondary copy 116 can comprise a separate stored copy of data that is derived from one or more earlier-created stored copies (e.g., derived from primary data 112 or from another secondary copy 116). Secondary copies 116 can include point-in-time data, and may be intended for relatively long-term retention, before some or all of the data is moved to other storage or discarded. In some cases, a secondary copy 116 may be in a different storage device than other previously stored copies; and/or may be remote from other previously stored copies. Secondary copies 116 can be stored in the same storage device as primary data 112. For example, 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 116 may be stored in relatively slow and/or lower 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 from the native source application format or other format of primary data 112.
Secondary storage computing devices 106 may index secondary copies 116 (e.g., using a media agent 144), so that users can browse and restore at a later time. After creation of a secondary copy 116 representative of certain primary data 112, a pointer or other location indicia (e.g., a stub) may be placed in primary data 112, or be otherwise associated with primary data 112, to indicate the current location on secondary storage device(s) 108 of a particular secondary copy 116.
Since an instance of a data object or metadata in primary data 112 may change over time as it is modified by application 110 (or hosted service or the operating system), system 100 may create and manage multiple secondary copies 116 of a particular data object or metadata, each copy 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 primary storage device 104 and the file system, 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.
For virtual machines, the operating system and other applications 110 of 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. 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. First, 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 applications 110 or client computing device 102 (e.g., via standard system calls or otherwise) without modification, processing, or other intervention by system 100 which may be referred to as “restore” operations. Secondary copies 116 may have been processed by data agent 142 and/or media agent 144 in the course of being created (e.g., compression, deduplication, encryption, integrity markers, indexing, formatting, etc.), and thus secondary copy 116 may represent source primary data 112 without necessarily being exactly identical to the source.
Second, secondary copies 116 may be stored on a secondary storage device 108 that is inaccessible to application 110 running on client computing device 102 and/or hosted service. 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 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 system 100 can access only with some human intervention (e.g., tapes located at an offsite storage site).
Using Intermediate Devices for Creating Secondary Copies—Secondary Storage Computing Devices
Creating secondary copies can be challenging. For instance, hundreds or thousands of client computing devices 102 may be 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 devices that write to, read from, or otherwise interact with secondary storage devices 108, such as secondary storage computing devices 106 and corresponding media agents 144, may require specialized programmed intelligence and/or hardware capability. Client computing devices 102 may interact directly with a secondary storage device 108 to create secondary copies 116; however, in view of the factors described above, this approach can negatively impact the ability of client computing device 102 to serve/service application 110 and produce primary data 112. Further, any given client computing device 102 may not be optimized for interaction with certain secondary storage devices 108.
Thus, information management system 100 may include one or more software and/or hardware components which generally act as intermediaries between client computing devices 102 (that generate primary data 112) and secondary storage devices 108 (that store secondary copies 116). In addition to off-loading certain responsibilities from client computing devices 102, these intermediate components can provide other benefits. For instance, as discussed further below with respect to
Secondary storage computing device(s) 106 can comprise any of the computing devices described above, without limitation. In some cases, secondary storage computing device(s) 106 also include specialized hardware and/or software componentry for interacting with certain secondary storage device(s) 108 with which they may be specially associated.
To create a secondary copy 116 involving the copying of data from primary storage subsystem 117 to secondary storage subsystem 118, client computing device 102 may communicate the primary data 112 to be copied (or a processed version thereof) to the designated secondary storage computing device 106, via a communication pathway 114. Secondary storage computing device 106 in turn may perform further processing and may convey the data (or a processed version thereof) to secondary storage device 108. One or more secondary copies 116 may be created from existing secondary copies 116, such as in the case of an auxiliary copy operation, described further below.
Exemplary Primary Data and an Exemplary Secondary Copy
Secondary copy data 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, and accompanied by corresponding metadata Meta11, Meta3, and Meta8, respectively). Moreover, as indicated by the prime mark (′), secondary storage computing devices 106 or other components in secondary storage subsystem 118 may process the data received from primary storage subsystem 117 and store a secondary copy including a transformed and/or supplemented representation of a primary data object and/or metadata that is different from the original format, e.g., in a compressed, encrypted, deduplicated, or other modified format. For instance, secondary storage computing devices 106 can generate new metadata or other information based on said processing, and store the newly generated information along with the secondary copies. Secondary copy data object 134B represents primary data objects 120, 133B, and 119A as 120′, 133B′, and 119A′, respectively, accompanied by corresponding metadata Meta2, Meta10, and Meta1, respectively. Also, secondary copy data object 134C represents primary data objects 133A, 1196, and 129A as 133A′, 119B′, and 129A′, respectively, accompanied by corresponding metadata Meta9, Meta5, and Meta6, respectively.
Exemplary Information Management System Architecture
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 system 100. Such design choices can impact performance as well as the adaptability of system 100 to data growth and other changing circumstances.
Storage Manager
Storage manager 140 is a centralized storage and/or information manager that is configured to perform certain control functions and also to store certain critical information about system 100. As noted, the number of components in system 100 and the amount of data under management can be large. Managing the components and data is therefore a significant task, which can grow unpredictably as the number of components and data scale to meet the needs of the organization. For these and other reasons, according to certain embodiments, responsibility for controlling system 100, or at least a significant portion of that responsibility, is allocated to storage manager 140. Storage manager 140 can be adapted independently according to changing circumstances, without having to replace or re-design the remainder of the system. Moreover, a computing device for hosting and/or operating as storage manager 140 can be selected to best suit the functions and networking needs of storage manager 140. These and other advantages are described in further detail below and with respect to
Storage manager 140 may be a software module or other application, which, in some embodiments operates in conjunction with one or more associated data structures such as a dedicated database (e.g., management database 146). In some embodiments, storage manager 140 is itself a computing device that performs the functions described herein. The storage manager generally initiates, performs, coordinates and/or controls storage and other information management operations performed by the system 100, e.g., to protect and control primary data 112 and secondary copies 116. In general, storage manager 100 may be said to manage information management system 100, which includes managing constituent components such as data agents and media agents, etc.
As shown by the dashed arrowed lines 114 in
According to certain embodiments, storage manager 140 provides one or more of the following functions:
Storage manager 140 may maintain an associated database 146 (or “storage manager database 146” or “management database 146”) of management-related data and information management policies 148. Database 146 can be stored in computer memory accessible by storage manager 140. Database 146 may include a management index 150 (or “index 150”) or other data structure(s) that may store: logical associations between components of the system; user preferences and/or profiles (e.g., preferences regarding encryption, compression, or deduplication of primary data or secondary copies; preferences regarding the scheduling, type, or other aspects of 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, storage manager 140 may use 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. For instance, index 150 may store data associating a client computing device 102 with a particular media agent 144 and/or secondary storage device 108, as specified in an information management policy 148.
Administrators and others may configure and initiate certain information management operations on an individual basis. But while this may be acceptable for some recovery operations or other infrequent tasks, it is often not workable for implementing on-going organization-wide data protection and management. Thus, system 100 may utilize information management policies 148 for specifying and executing information management operations on an automated basis. Generally, an information management policy 148 can include a stored data structure or other information source that specifies parameters (e.g., criteria and rules) associated with storage management or other information management operations. Storage manager 140 can process an information management policy 148 and/or index 150 and, based on the results, identify an information management operation to perform, identify the appropriate components in system 100 to be involved in the operation (e.g., client computing devices 102 and corresponding data agents 142, secondary storage computing devices 106 and corresponding media agents 144, etc.), establish connections to those components and/or between those components, and/or instruct and control those components to carry out the operation. In this manner, system 100 can translate stored information into coordinated activity among the various computing devices in system 100.
Management database 146 may maintain information management policies 148 and associated data, although information management policies 148 can be stored in computer memory at any appropriate location outside management database 146. For instance, an information management policy 148 such as 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 or other information management operations, depending on the embodiment. Information management policies 148 are described further below. According to certain embodiments, management 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 subclient data were protected and where the secondary copies are stored and which media agent 144 performed the secondary storage). This and other metadata may additionally be stored in other locations, such as at secondary storage computing device 106 or on the secondary storage device 108, allowing data recovery without the use of storage manager 140 in some cases. Thus, management database 146 may comprise data needed to kick off secondary copy operations (e.g., storage policies), status and reporting information about completed jobs (e.g., status on yesterday's backup jobs), and additional information sufficient to enable restore and disaster recovery operations (e.g., media agent associations, location indexing, content indexing, etc.)
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. These are described further below.
Jobs agent 156 in some embodiments initiates, controls, and/or monitors the status of some or all information management operations previously performed, currently being performed, or scheduled to be performed by system 100. A job may be a logical grouping of information management operations such as generating backup copies of a primary data 112 subclient at a certain time every day. Thus, jobs agent 156 may access information management policies 148 (e.g., in management database 146) to determine when and how to initiate/control jobs in system 100.
Storage Manager User Interfaces
User interface 158 may include information processing and display software, such as a graphical user interface (GUI), an application program interface (API), and/or other interactive interface(s) through which users and system processes can retrieve information about the status of information management operations or issue instructions to system 100 and/or its constituent components. Via user interface 158, users may issue instructions to the components in system 100 regarding performance of secondary copy 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 secondary copy jobs or to monitor the status of certain components in system 100 (e.g., the amount of capacity left in a storage device). Storage manager 140 may 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 by interacting with user interface 158.
Various embodiments of information management system 100 may be configured and/or designed to generate user interface data useable for rendering the various interactive user interfaces described. The user interface data may be used by system 100 and/or by another system, device, and/or software program (for example, a browser program), to render the interactive user interfaces. The interactive user interfaces may be displayed on, for example, electronic displays (including, for example, touch-enabled displays), consoles, etc., whether direct-connected to storage manager 140 or communicatively coupled remotely, e.g., via an internet connection. The present disclosure describes various embodiments of interactive and dynamic user interfaces, some of which may be generated by user interface agent 158, and which are the result of significant technological development. The user interfaces described herein may provide improved human-computer interactions, allowing for significant cognitive and ergonomic efficiencies and advantages over previous systems, including reduced mental workloads, improved decision-making, and the like. User interface 158 may operate in a single integrated view or console (not shown). The console may support a reporting capability for generating a variety of reports, which may be tailored to a particular aspect of information management.
User interfaces are not exclusive to storage manager 140 and in some embodiments a user may access information locally from a computing device component of system 100. For example, some information pertaining to installed data agents 142 and associated data streams may be available from client computing device 102. Likewise, some information pertaining to media agents 144 and associated data streams may be available from secondary storage computing device 106.
Storage Manager Management Agent
Management agent 154 can provide storage manager 140 with the ability to communicate with other components within information management system 100 and/or with other information management cells 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.
Management agent 154 also allows multiple information management cells to communicate with one another. For example, system 100 in some cases may be one information management cell in a network of multiple cells adjacent to one another or otherwise logically related, e.g., in a WAN or LAN. With this arrangement, the cells may communicate with one another through respective management agents 154. Inter-cell communication and hierarchy is described in greater detail in e.g., U.S. Pat. No. 7,343,453.
Information Management Cell
An “information management cell” (or “storage operation cell” or “cell”) may generally include a logical and/or physical grouping of a combination of hardware and software components associated with performing information management operations on electronic data, typically one storage manager 140 and at least one data agent 142 (executing on a client computing device 102) and at least one media agent 144 (executing on a secondary storage computing device 106). For instance, the components shown in
Multiple cells may be organized hierarchically, so that cells may inherit properties from hierarchically superior cells or be controlled by other cells in the hierarchy (automatically or otherwise). Alternatively, in some embodiments, cells may inherit or otherwise be associated with information management policies, preferences, information management operational parameters, or other properties or characteristics according to their relative position in a hierarchy of cells. Cells may also be organized hierarchically according to function, geography, architectural considerations, or other factors useful or desirable in performing information management operations. For example, a first cell may represent a geographic segment of an enterprise, such as a Chicago office, and a second cell may represent a different geographic segment, such as a New York City office. Other cells may represent departments within a particular office, e.g., human resources, finance, engineering, etc. Where delineated by function, a first cell may perform one or more first types of information management operations (e.g., one or more first types of secondary copies at a certain frequency), and a second cell may perform one or more second types of information management operations (e.g., one or more second types of secondary copies at a different frequency and under different retention rules). In general, the hierarchical information is maintained by one or more storage managers 140 that manage the respective cells (e.g., in corresponding management database(s) 146).
Data Agents
A variety of different applications 110 can operate on a given client computing device 102, including operating systems, file systems, database applications, e-mail applications, and virtual machines, just to name a few. And, as part of the process of creating and restoring secondary copies 116, the client computing device 102 may be tasked with processing and preparing the primary data 112 generated by these various applications 110. Moreover, the nature of the processing/preparation can differ across application types, e.g., due to inherent structural, state, and formatting differences among applications 110 and/or the operating system of client computing device 102. Each data agent 142 is 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.
Data agent 142 is a component of information system 100 and is generally directed by storage manager 140 in creating or restoring secondary copies 116. Data agent 142 may be a software program (e.g., a set of executable binary files) that executes on the same client computing device 102 as the associated application 110 that data agent 142 is configured to protect. Data agent 142 is generally responsible for managing, initiating, or otherwise assisting in the performance of information management operations in reference to its associated application(s) 110 and corresponding primary data 112 which is generated/accessed by the particular application(s). For instance, data agent 142 may take part in copying, archiving, migrating, and/or replicating of primary data 112 stored in the primary storage device(s) 104. Data agent 142 may receive control information from storage manager 140, such as commands to transfer copies of data objects and/or metadata to one or more media agents 144. Data agent 142 also may compress, deduplicate, and encrypt primary data 112 before transmitting it to media agent 144. Data agent 142 also may receive instructions from storage manager 140 to restore (or assist in restoring) a secondary copy 116 from secondary storage device 108 to primary storage 104, such that the restored data may be accessed by application 110.
Each data agent 142 may be specialized for a particular application 110. For instance, 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, 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 112, a specialized data agent 142 may be used for each data type. For example, to backup, migrate, and/or restore all of the data on a Microsoft Exchange server, the client computing device 102 may use: a Microsoft Exchange Mailbox data agent 142 to back up the Exchange mailboxes; a Microsoft Exchange Database data agent 142 to back up the Exchange databases; a Microsoft Exchange Public Folder data agent 142 to back up the Exchange Public Folders; and a Microsoft Windows File System data agent 142 to back up the file system of client computing device 102. In such embodiments, these specialized data agents 142 may be treated as four separate data agents 142 even though they operate on the same client computing device 102. Other examples may include archive management data agents such as a migration archiver or a compliance archiver, Quick Recovery® agents, and continuous data replication agents. Application-specific data agents 142 can provide improved performance as compared to generic agents. For instance, because application-specific data agents 142 may only handle data for a single software application, the design of the data agent 142 can be streamlined. The data agent 142 may therefore execute faster and consume less persistent storage and/or operating memory than data agents designed to generically accommodate multiple different software applications 110.
Each data agent 142 may be configured to access data and/or metadata stored in the primary storage device(s) 104 associated with data agent 142 and its host client computing device 102, and process the data appropriately. For example, during a secondary copy operation, 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.
In some embodiments, a data agent 142 may be distributed between 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. In addition, a data agent 142 may perform some functions provided by media agent 144. Other embodiments may employ 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. For example, 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.
Media Agents
As noted, off-loading certain responsibilities from client computing devices 102 to intermediate components such as secondary storage computing device(s) 106 and corresponding media agent(s) 144 can provide a number of benefits including improved performance of client computing device 102, faster information management operations, and enhanced scalability. In one example which will be discussed further below, media agent 144 can act as a local cache of recently-copied data and/or metadata that it stored to secondary storage device(s) 108, thus improving restore capabilities and performance.
Media agent 144 is a component of information system 100 and is generally directed by storage manager 140 in creating or restoring secondary copies 116. Whereas storage manager 140 generally manages information management system 100, media agent 144 provides a portal to secondary storage devices 108. Media agent 144 may be a software program (e.g., a set of executable binary files) that executes on a secondary storage computing device 106. Media agent 144 generally manages, coordinates, and facilitates the transmission of data between a client computing device 102 (executing a data agent 142) and secondary storage device(s) 108. For instance, other components in the system may interact with media agent 144 to gain access to data stored on secondary storage device(s) 108, (e.g., to browse, read, write, modify, delete, or restore data). Moreover, media agents 144 can generate and store information relating to characteristics of the stored data and/or metadata, or can generate and store other types of information that generally provides insight into the contents of the secondary storage devices 108—generally referred to as indexing of the stored secondary copies 116.
Media agents 144 can comprise separate nodes of system 100 (e.g., nodes that are separate from client computing devices 102, storage manager 140, and/or secondary storage devices 108). In general, a node can be a logically and/or physically separate component, and in some cases is a component that is individually addressable or otherwise identifiable. In addition, each media agent 144 may operate on a dedicated secondary storage computing device 106, while in other embodiments a plurality of media agents 144 may operate on the same secondary storage computing device 106.
A media agent 144 may 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; coordinating the retrieval of data from the particular secondary storage device 108; and modifying and/or deleting data retrieved from the particular secondary storage device 108. Media agent 144 in certain embodiments is physically separate from the associated secondary storage device 108. For instance, a media agent 144 may operate on a secondary storage computing device 106 in a distinct housing, package, and/or location from the associated secondary storage device 108. In one example, a media agent 144 operates on a first server computer and is in communication with a secondary storage device(s) 108 operating in a separate rack-mounted RAID-based system.
A media agent 144 associated with a particular secondary storage device 108 may instruct secondary storage device 108 to perform an information management task. For instance, a media agent 144 may instruct 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 data to a client computing device 102. As another example, a secondary storage device 108 may include an array of hard disk drives or solid state drives organized in a RAID configuration, and media agent 144 may forward a logical unit number (LUN) and other appropriate information to the array, which uses the received information to execute the desired secondary copy operation. 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. Media agent database 152 may be stored to a disk or other storage device (not shown) that is local to the secondary storage computing device 106 on which media agent 144 operates. In other cases, media agent database 152 is stored separately from the host secondary storage computing device 106. Media agent database 152 can include, among other things, a media agent index 153 (see, e.g.,
Media agent index 153 (or “index 153”) may be a data structure associated with the particular media agent 144 that includes information about the stored data associated with the particular media agent and which may be generated in the course of performing a secondary copy operation or a restore. Index 153 provides a fast and efficient mechanism for locating/browsing secondary copies 116 or other data stored in secondary storage devices 108 without having to access secondary storage device 108 to retrieve the information from there. For instance, for each secondary copy 116, index 153 may include metadata such as a list of the data objects (e.g., files/subdirectories, database objects, mailbox objects, etc.), a logical path to the secondary copy 116 on the corresponding secondary storage device 108, location information (e.g., offsets) indicating where the data objects are stored in the secondary storage device 108, when the data objects were created or modified, etc. Thus, index 153 includes metadata associated with the secondary copies 116 that is readily available for use from media agent 144. In some embodiments, some or all of the information in index 153 may instead or additionally be stored along with secondary copies 116 in secondary storage device 108. In some embodiments, a secondary storage device 108 can include sufficient information to enable a “bare metal restore,” where the operating system and/or software applications of a failed client computing device 102 or another target may be automatically restored without manually reinstalling individual software packages (including operating systems).
Because index 153 may operate as a cache, it can also be referred to as an “index cache.” In such cases, information stored in index cache 153 typically comprises data that reflects certain particulars about relatively recent secondary copy operations. After some triggering event, such as after some time elapses or index cache 153 reaches a particular size, certain portions of index cache 153 may be copied or migrated to secondary storage device 108, e.g., on a least-recently-used basis. This information may be retrieved and uploaded back into index cache 153 or otherwise restored to media 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 storage device(s) 108.
In some alternative embodiments media agent 144 generally acts as a coordinator or facilitator of secondary copy operations between client computing devices 102 and secondary storage devices 108, but does not actually write the data to secondary storage device 108. For instance, storage manager 140 (or media agent 144) may instruct a client computing device 102 and secondary storage device 108 to communicate with one another directly. In such a case, client computing device 102 transmits data directly or via one or more intermediary components to secondary storage device 108 according to the received instructions, and vice versa. Media agent 144 may still receive, process, and/or maintain metadata related to the secondary copy operations, i.e., may continue to build and maintain index 153. In these embodiments, payload data can flow through media agent 144 for the purposes of populating index 153, but not for writing to secondary storage device 108.
Media agent 144 and/or other components such as 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.
Distributed, Scalable Architecture
As described, certain functions of system 100 can be distributed amongst various physical and/or logical components. For instance, one or more of storage manager 140, data agents 142, and media agents 144 may operate 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 media agents 144 operate can be tailored for interaction with associated secondary storage devices 108 and provide fast index cache operation, among other specific tasks. Similarly, client computing device(s) 102 can be selected to effectively service applications 110 in order to efficiently produce and store primary data 112.
Moreover, in some cases, one or more of the individual components of 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 management database 146 is relatively large, database 146 may be migrated to or may otherwise reside on a specialized database server (e.g., an SQL server) separate from a server that implements the other functions of storage manager 140. This distributed configuration can provide added protection because database 146 can be protected with standard database utilities (e.g., SQL log shipping or database replication) independent from other functions of storage manager 140. Database 146 can be efficiently replicated to a remote site for use in the event of a disaster or other data loss at the primary site. Or 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 computing device can no longer service the needs of a growing system 100.
The distributed architecture also provides scalability and efficient component utilization.
Where system 100 includes multiple media agents 144 (see, e.g.,
While distributing functionality amongst multiple computing devices can have certain advantages, in other contexts it can be beneficial to consolidate functionality on the same computing device. In alternative configurations, certain components may reside and execute on the same computing device. As such, in other embodiments, one or more of the components shown in
Exemplary Types of Information Management Operations
In order to protect and leverage stored data, system 100 can be configured to perform a variety of information management operations, which may also be referred to in some cases as storage management operations or storage operations. These operations can generally include (i) data movement operations, (ii) processing and data manipulation operations, and (iii) analysis, reporting, and management operations.
Data Movement Operations, Including Secondary Copy Operations
Data movement operations are generally operations that involve the copying or migration of data between different locations in system 100. For example, data movement operations can include operations in which stored data is copied, migrated, or otherwise transferred from one or more first storage devices to one or more second storage devices, such as 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, from secondary storage devices 108 to primary storage devices 104, or from primary storage device(s) 104 to different primary storage device(s) 104, or in some cases within the same primary storage device 104 such as within a storage array.
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), snapshot operations, deduplication or single-instancing operations, auxiliary copy operations, disaster-recovery copy operations, and the like. As will be discussed, some of these operations do not necessarily create distinct copies. Nonetheless, some or all of these operations are generally referred to as “secondary copy operations” for simplicity. Data movement also comprises restoring secondary copies.
Backup Operations
A backup operation creates a copy of a version of primary data 112 at a particular point in time (e.g., one or more files or other data units). Each subsequent backup copy 116 (which is a form of secondary copy 116) may be maintained independently of the first. A backup generally involves maintaining a version of the copied primary data 112 as well as backup copies 116. Further, a backup copy in some embodiments is generally stored in a form that is different from the native format, e.g., a backup format. This contrasts to the version in primary data 112 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 native application format. For example, a backup copy may be stored in a compressed backup format that facilitates efficient long-term storage.
Backup copies 116 can have relatively long retention periods as compared to primary data 112, which is generally highly changeable. Backup copies 116 may be stored on media with slower retrieval times than primary storage device 104. Some backup copies may have shorter retention periods than some other types of secondary copies 116, such as archive copies (described below). Backups may be stored at an offsite location.
Backup operations can include full backups, differential backups, incremental backups, “synthetic full” backups, and/or creating a “reference copy.” A full backup (or “standard 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 occurred since the last full backup. Differential backups can grow quickly in size, but can restore relatively efficiently 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, restoring can be lengthy compared to full or differential backups because completing a restore operation may involve accessing a full backup in addition to multiple incremental backups.
Synthetic full backups generally consolidate data without directly backing up data from the client computing device. A synthetic full backup is created from the most recent full backup (i.e., standard or synthetic) and subsequent incremental and/or differential backups. The resulting synthetic full backup is identical to what would have been created had the last backup for the subclient been a standard full backup. Unlike standard full, incremental, and differential backups, however, a synthetic full backup does not actually transfer data from primary storage to the backup media, because it operates as a backup consolidator. A synthetic full backup extracts the index data of each participating subclient. Using this index data and the previously backed up user data images, it builds new full backup images (e.g., bitmaps), one for each subclient. The new backup images consolidate the index and user data stored in the related incremental, differential, and previous full backups into a synthetic backup file that fully represents the subclient (e.g., via pointers) but does not comprise all its constituent data.
Any of the above types of backup operations can be at the volume level, file level, or block level. Volume level backup operations generally involve copying of a data volume (e.g., a logical disk or partition) as a whole. In a file-level backup, information management system 100 generally tracks changes to individual files and includes copies of files in the backup copy. For block-level backups, files are broken into constituent blocks, and changes are tracked at the block level. Upon restore, system 100 reassembles the blocks into files in a transparent fashion. Far less data may actually be transferred and copied to secondary storage devices 108 during a file-level copy than a volume-level copy. Likewise, a block-level copy may transfer less data than a file-level copy, resulting in faster execution. However, restoring a relatively higher-granularity copy can result in longer restore times. For instance, when restoring a block-level copy, the process of locating constituent blocks can sometimes take longer than restoring file-level backups.
A reference copy may comprise copy(ies) of selected objects from backed up data, typically to help organize data by keeping contextual information from multiple sources together, and/or help retain specific data for a longer period of time, such as for legal hold needs. A reference copy generally maintains data integrity, and when the data is restored, it may be viewed in the same format as the source data. In some embodiments, a reference copy is based on a specialized client, individual subclient and associated information management policies (e.g., storage policy, retention policy, etc.) that are administered within system 100.
Archive Operations
Because backup operations generally involve maintaining a version of the copied primary data 112 and also maintaining backup copies in secondary storage device(s) 108, they can consume significant storage capacity. To reduce storage consumption, an archive operation according to certain embodiments creates an archive 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) may be removed from source storage. The source data may be primary data 112 or a secondary 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 format of the original application or source copy. 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. In certain embodiments, archive copies may be made and kept for extended periods in order to meet compliance regulations.
Archiving can also serve the purpose of freeing up space in primary storage device(s) 104 and easing the demand on computational resources on client computing device 102. Similarly, when a secondary copy 116 is archived, the archive copy can therefore serve the purpose of freeing up space in the source secondary storage device(s) 108. Examples of data archiving operations are provided in U.S. Pat. No. 7,107,298.
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 primary data 112 at a given point in time, and may include state and/or status information relative to an application 110 that creates/manages primary data 112. In one embodiment, 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 “hardware snapshot” (or “hardware-based snapshot”) operation can be a snapshot operation where a target storage device (e.g., a primary storage device 104 or a secondary storage device 108) performs the snapshot operation in a self-contained fashion, substantially independently, using hardware, firmware and/or software operating on the storage device itself. For instance, the storage device may perform snapshot operations generally without intervention or oversight from any of the other components of the system 100, e.g., a storage array may generate an “array-created” hardware snapshot and may also manage its storage, integrity, versioning, etc. In this manner, hardware snapshots can off-load other components of system 100 from processing involved in creating and managing snapshots.
A “software snapshot” (or “software-based snapshot”) operation, on the other hand, can be a snapshot operation in which one or more other components in information management system 100 (e.g., client computing devices 102, data agents 142, etc.) implement a software layer that manages the snapshot operation via interaction with the target storage device. For instance, the component executing the snapshot management software layer may derive a set of pointers and/or data that represents the snapshot. The snapshot management software layer may then transmit the same to the target storage device, along with appropriate instructions for writing the snapshot. One example of a software snapshot product may be Microsoft Volume Snapshot Service (VSS), which is part of the Microsoft Windows operating system.
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., to specific 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 from an application. In some other cases, the snapshot may be created at the block-level, such that creation of the snapshot occurs without awareness of the file system. Each pointer points to a respective stored data block, so that 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 the particular point in time when the snapshot copy was created.
An 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 change later on. Furthermore, when files change, typically only the pointers which map to blocks are copied, not the blocks themselves. For example for “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, and the pointer to that block is changed to reflect the new location of that block. The snapshot mapping of file system data may also be 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.
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.
Replication Operations
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 primary data 112 substantially as changes occur. In some cases a replication copy can be a mirror copy, for instance, where changes made to primary data 112 are mirrored or substantially immediately copied 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 secondary copy 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 were the “live” primary data 112. This can reduce access time, storage utilization, and impact on source applications 110, among other benefits. Based on known good state information, system 100 can replicate sections of application data that represent a recoverable state rather than rote copying of blocks of data. Examples of replication operations (e.g., continuous data replication) are provided in U.S. Pat. No. 7,617,262.
Deduplication/Single-Instancing Operations
Deduplication or single-instance storage is useful to reduce the amount of non-primary data. For instance, some or all of the above-described secondary copy operations can involve deduplication in some fashion. New data is read, broken down into data portions of a selected granularity (e.g., sub-file level blocks, files, etc.), compared with corresponding portions that are already in secondary storage, and only new portions are stored. Portions that already exist are represented as pointers to the already-stored data. Thus, a deduplicated secondary copy 116 may comprise actual data portions copied from primary data 112 and may further comprise pointers to already-stored data, which is generally more storage-efficient than a full copy.
In order to streamline the comparison process, information management system 100 may calculate and/or store signatures (e.g., hashes or cryptographically unique IDs) corresponding to the individual data portions in the source data and compare the signatures instead of comparing entire data portions. In some cases, only a single instance of each data portion is stored, and deduplication operations may therefore be referred to interchangeably as “single-instancing” operations. Depending on the implementation, however, deduplication operations can store more than one instance of certain data portions, but nonetheless significantly reduce stored-data redundancy. Depending on the embodiment, deduplication portions such as data blocks can be of fixed or variable length. Using variable length blocks can enhance deduplication by responding to changes in the data stream, but can involve complex processing. In some cases, system 100 utilizes a technique for dynamically aligning deduplication blocks based on changing content in the data stream, as described in U.S. Pat. No. 8,364,652.
Information management system 100 can perform deduplication in a variety of manners at a variety of locations. For instance, in some embodiments, system 100 implements “target-side” deduplication by deduplicating data at the media agent 144 after being received from data agent 142. In some such cases, the media agents 144 are generally configured to manage the deduplication process. For instance, 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. No. 9,020,900. Instead of or in combination with “target-side” deduplication, deduplication can also be performed on the “source-side” (or “client-side”), e.g., to reduce the amount of data to be transmitted by data agent 142 to media agent 144. Storage manager 140 may communicate with other components within system 100 via network protocols and cloud service provider APIs to facilitate cloud-based deduplication/single instancing, as exemplified in U.S. Pat. No. 8,954,446. Some other deduplication/single instancing techniques are described in U.S. Pat. Pub. No. 2006/0224846 and U.S. Pat. No. 9,098,495.
Information Lifecycle Management and Hierarchical Storage Management
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, which generally automatically moves data between classes of storage devices, such as from high-cost to low-cost storage devices. For instance, an 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 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 archiving in that creating an HSM copy may (though not always) involve deleting some of the source data, e.g., according to one or more criteria related to the source data. For example, an HSM copy may include primary data 112 or a secondary copy 116 that is larger than a given size threshold or older than a given age threshold. Often, and unlike some types of archive copies, HSM data that is removed or aged from the source is replaced by a logical reference pointer or stub. The reference pointer or stub can be stored in the primary storage device 104 or other source storage device, such as a secondary storage device 108 to replace the deleted source data and to point to or otherwise indicate the new location in (another) secondary 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 HSM data that has been removed or migrated, system 100 uses the stub to locate the data and may make recovery of the data appear transparent, even though the HSM data may be stored at a location different from other source data. In this manner, the data appears to the user (e.g., in file system browsing windows and the like) as if it still resides in the source location (e.g., in a primary storage device 104). 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., compressed, encrypted, deduplicated, and/or otherwise modified). 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.” Examples of HSM and ILM techniques are provided in U.S. Pat. No. 7,343,453.
Auxiliary Copy Operations
An auxiliary copy is generally a copy of an existing secondary copy 116. For instance, an initial secondary copy 116 may be derived from primary data 112 or from data residing in secondary storage subsystem 118, whereas an auxiliary copy is generated from the initial secondary copy 116. Auxiliary copies provide additional standby copies of data and may reside on different secondary storage devices 108 than the initial secondary copies 116. Thus, auxiliary copies can be used for recovery purposes if initial secondary copies 116 become unavailable. Exemplary auxiliary copy techniques are described in further detail in U.S. Pat. No. 8,230,195.
Disaster-Recovery Copy Operations
Information management system 100 may also make and retain disaster recovery copies, often as secondary, high-availability disk copies. 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 the client computing devices 102 and primary storage devices 104, remote from some or all of the secondary storage devices 108, or both.
Data Manipulation, Including Encryption and Compression
Data manipulation and processing may include encryption and compression as well as integrity marking and checking, formatting for transmission, formatting for storage, etc. Data may be manipulated “client-side” by data agent 142 as well as “target-side” by media agent 144 in the course of creating secondary copy 116.
Encryption Operations
Information management system 100 in some cases is configured to process data (e.g., files or other data objects, primary data 112, 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. System 100 in some cases encrypts the data at the client level, such that client computing devices 102 (e.g., data agents 142) encrypt the data prior to transferring it to other components, e.g., before sending the data to media agents 144 during a secondary copy operation. In such cases, 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 media agent 144 creates auxiliary copies or archive copies. Encryption may be applied in creating a secondary copy 116 of a previously unencrypted secondary copy 116, without limitation. In further embodiments, secondary storage devices 108 can implement built-in, high performance hardware-based encryption.
Compression Operations
Similar to encryption, system 100 may also or alternatively compress data in the course of generating a secondary copy 116. Compression encodes information such that fewer bits are needed to represent the information as compared to the original representation. Compression techniques are well known in the art. Compression operations may apply one or more data compression algorithms. Compression may be applied in creating a secondary copy 116 of a previously uncompressed secondary copy, e.g., when making archive copies or disaster recovery copies. The use of compression may result in metadata that specifies the nature of the compression, so that data may be uncompressed on restore if appropriate.
Data Analysis, Reporting, and Management Operations
Data analysis, reporting, and management operations can differ from data movement operations in that they do not necessarily involve copying, migration or other transfer of data between different locations in the system. For instance, data analysis operations may involve processing (e.g., offline processing) or modification of already stored primary data 112 and/or secondary copies 116. However, in some embodiments data analysis operations are performed in conjunction with data movement operations. Some data analysis operations include content indexing operations and classification operations which can be useful in leveraging the data under management to provide enhanced search and other features. Other data analysis operations such as compression and encryption can provide data reduction and security benefits, respectively.
Classification Operations/Content Indexing
In some embodiments, information management system 100 analyzes and indexes characteristics, content, and metadata associated with primary data 112 (“online content indexing”) and/or secondary copies 116 (“off-line content indexing”). Content indexing can identify files or other data objects based on content (e.g., user-defined keywords or phrases, other keywords/phrases that are not defined by a user, etc.), and/or metadata (e.g., email metadata such as “to,”,” “from,” “cc,” “bcc,” attachment name, received time, etc.). Content indexes may be searched and search results may be restored.
Information management system 100 generally organizes and catalogues the results into a content index, which may be stored within media agent database 152, for example. The content index can also include the storage locations of or pointer references to indexed data in primary data 112 or secondary copies 116, as appropriate. The results may also be stored elsewhere in system 100 (e.g., in primary storage device 104 or in secondary storage device 108). Such content index data provides storage manager 140 or other components with an efficient mechanism for locating primary data 112 and/or secondary copies 116 of data objects that match particular criteria, thus greatly increasing the search speed capability of system 100. For instance, search criteria can be specified by a user through user interface 158 of storage manager 140. Moreover, when system 100 analyzes data and/or metadata in secondary copies 116 to create an “off-line content index,” this operation has no significant impact on the performance of client computing devices 102 and thus does not take a toll on the production environment. Examples of content indexing techniques are provided in U.S. Pat. No. 8,170,995.
One or more components, such as a content index engine, can be configured to scan data and/or associated metadata for classification purposes to populate a database (or other data structure) of information, which can be referred to as a “data classification database” or a “metabase.” Depending on the embodiment, the data classification database(s) can be organized in a variety of different ways, including centralization, logical sub-divisions, and/or physical sub-divisions. For instance, one or more data classification databases may be associated with different subsystems or tiers within system 100. As an example, there may be a first metabase associated with primary storage subsystem 117 and a second metabase associated with secondary storage subsystem 118. In other cases, there may be one or more metabases associated with individual components, e.g., client computing devices 102 and/or media agents 144. In some embodiments, a data classification database may reside as one or more data structures within management database 146, or may be otherwise associated with storage manager 140 or may reside as a separate component.
In some cases, metabase(s) may be included in separate database(s) and/or on separate storage device(s) from primary data 112 and/or secondary copies 116, such that operations related to the metabase(s) do not significantly impact performance on other components of information management system 100. In other cases, metabase(s) may be stored along with primary data 112 and/or secondary copies 116. Files or other data objects can be associated with identifiers (e.g., tag entries, etc.) 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. For instance, a metabase can dramatically improve the speed with which the information management system can search through and identify data as compared to other approaches which can involve scanning an entire file system. Examples of metabases and data classification operations are provided in U.S. Pat. Nos. 7,734,669 and 7,747,579.
Management and Reporting Operations
Certain embodiments leverage the integrated ubiquitous nature of information management system 100 to provide useful system-wide management and reporting functions. Operations management can generally include monitoring and managing the health and performance of 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. As an example, storage manager 140 or other component in system 100 may analyze traffic patterns and suggest and/or automatically route data to minimize congestion. In some embodiments, the system can generate predictions relating to storage operations or storage operation information. Such predictions, which may be based on a trending analysis, may predict various network operations or resource usage, such as network traffic levels, storage media use, use of bandwidth of communication links, use of media agent components, etc. Further examples of traffic analysis, trend analysis, prediction generation, and the like are described in U.S. Pat. No. 7,343,453.
In some configurations having a hierarchy of storage operation cells, a master storage manager 140 may track the status of subordinate cells, such as the status of jobs, system components, system resources, and other items, by communicating with storage managers 140 (or other components) in the respective storage operation cells. Moreover, the master storage manager 140 may also track status by receiving periodic status updates from the storage managers 140 (or other components) in the respective cells regarding jobs, system components, system resources, and other items. In some embodiments, a master storage manager 140 may store status information and other information regarding its associated storage operation cells and other system information in its management database 146 and/or index 150 (or in another location). The master storage manager 140 or other component may also determine whether certain storage-related or other criteria are satisfied, and may perform an action or trigger event (e.g., data migration) in response to the criteria being satisfied, such as where a storage threshold is met for a particular volume, or where inadequate protection exists for certain data. For instance, data from one or more storage operation cells is used to dynamically and automatically mitigate recognized risks, and/or to advise users of risks or suggest actions to mitigate these risks. For example, an information management policy may specify certain requirements (e.g., that a storage device should maintain a certain amount of free space, that secondary copies should occur at a particular interval, that data should be aged and migrated to other storage after a particular period, that data on a secondary volume should always have a certain level of availability and be restorable within a given time period, that data on a secondary volume may be mirrored or otherwise migrated to a specified number of other volumes, etc.). If a risk condition or other criterion is triggered, the system may notify the user of these conditions and may suggest (or automatically implement) a mitigation action to address the risk. For example, the system may indicate that data from a primary copy 112 should be migrated to a secondary storage device 108 to free space on primary storage device 104. Examples of the use of risk factors and other triggering criteria are described in U.S. Pat. No. 7,343,453.
In some embodiments, system 100 may also determine whether a metric or other indication satisfies particular storage criteria sufficient to perform an action. For example, a storage policy or other definition might indicate that a storage manager 140 should initiate a particular action if a storage metric or other indication drops below or otherwise fails to satisfy specified criteria such as a threshold of data protection. In some embodiments, risk factors may be quantified into certain measurable service or risk levels. For example, certain applications and associated data may be considered to be more important relative to other data and services. Financial compliance data, for example, may be of greater importance than marketing materials, etc. Network administrators may assign priority values or “weights” to certain data and/or applications corresponding to the relative importance. The level of compliance of secondary copy operations specified for these applications may also be assigned a certain value. Thus, the health, impact, and overall importance of a service may be determined, such as by measuring the compliance value and calculating the product of the priority value and the compliance value to determine the “service level” and comparing it to certain operational thresholds to determine whether it is acceptable. Further examples of the service level determination are provided in U.S. Pat. No. 7,343,453, which is incorporated by reference herein.
System 100 may additionally calculate data costing and data availability associated with information management operation cells. For instance, data received from a cell may be used in conjunction with hardware-related information and other information about system elements to determine the cost of storage and/or the availability of particular data. Exemplary information generated could include how fast a particular department is using up available storage space, how long data would take to recover over a particular pathway from a particular secondary storage device, costs over time, etc. Moreover, in some embodiments, such information may be used to determine or predict the overall cost associated with the storage of certain information. The cost associated with hosting a certain application may be based, at least in part, on the type of media on which the data resides, for example. Storage devices may be assigned to a particular cost categories, for example. Further examples of costing techniques are described in U.S. Pat. No. 7,343,453.
Any of the above types of information (e.g., information related to trending, predictions, job, cell or component status, risk, service level, costing, etc.) can generally be provided to users via user interface 158 in a single integrated view or console (not shown). Report types may include: scheduling, event management, media management and data aging. Available reports may also include backup history, data aging history, auxiliary copy history, job history, library and drive, media in library, restore history, and storage policy, etc., without limitation. Such reports may be specified and created at a certain point in time as a system analysis, forecasting, or provisioning tool. Integrated reports may also be generated that illustrate storage and performance metrics, risks and storage costing information. Moreover, users may create their own reports based on specific needs. 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. As one example, user interface 158 may provide a graphical depiction of primary storage devices 104, secondary storage devices 108, data agents 142 and/or media agents 144, and their relationship to one another in system 100.
In general, the operations management functionality of system 100 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 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 secondary copy operations for system 100, such as job status, component status, resource status (e.g., communication 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. Further examples are provided in U.S. Pat. No. 7,343,453.
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 secondary storage devices 108 (e.g., backups, archives, or other secondary copies 116). For example, system 100 may construct and maintain a virtual repository for data stored in system 100 that is integrated across source 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.
Information Management Policies
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 and/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 data structure or other information source that defines (or includes information sufficient to determine) a set of preferences or other criteria for performing information management operations. Storage policies can include one or more of the following: (1) what data will be associated with the storage policy, e.g., subclient; (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 secondary copy operation to be performed; and (5) retention information specifying how long the data will be retained at the destination (see, e.g.,
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 subclients 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 subclients 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 subclient data. While information in the storage policy can be statically assigned in some cases, some or all of the information in the storage policy can also be dynamically determined based on criteria, which can be set forth in the storage policy. For instance, based on such criteria, a particular destination storage device(s) or other parameter of the storage policy may be determined based on characteristics associated with the data involved in a particular secondary copy operation, device availability (e.g., availability of a secondary storage device 108 or a media agent 144), network status and conditions (e.g., identified bottlenecks), user credentials, and the like.
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 associated with the storage policy between the source and destination. 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. Furthermore, retention parameters can specify how long the resulting secondary copies 116 will be kept (e.g., a number of days, months, years, etc.), perhaps depending on organizational needs and/or compliance criteria.
Another type of information management policy 148 is a “scheduling policy,” which specifies when and how often to perform operations. Scheduling parameters 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 are to take place. Scheduling policies in some cases are associated with particular components, such as a subclient, client computing device 102, and the like.
When adding a new client computing device 102, administrators can manually configure information management policies 148 and/or other settings, e.g., via user interface 158. However, this can be an involved process resulting in delays, and it may be desirable to begin data protection operations quickly, without awaiting human intervention. Thus, in some embodiments, system 100 automatically applies a default configuration to client computing device 102. As one example, when one or more data agent(s) 142 are installed on a client computing device 102, the installation script may register the client computing device 102 with storage manager 140, which in turn applies the default configuration to the new client 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 target secondary storage device 108, data path information (e.g., a particular media agent 144), and the like.
Another type of information management policy 148 is an “audit policy” (or security policy), which comprises preferences, rules and/or criteria that protect sensitive data in information management system 100. For example, an audit policy may define “sensitive objects” which are files or data 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 primary storage device 104 instead. To facilitate this approval, 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.
Another type of information management policy 148 is a “provisioning policy,” which can include preferences, priorities, rules, and/or criteria that specify how client computing devices 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). Storage manager 140 or other components may enforce the provisioning policy. For instance, 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) may be 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 single information management policy 148. For instance, a storage policy may also include or otherwise be associated with one or more scheduling, audit, or provisioning policies or operational parameters thereof. 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 that information management policies 148 may specify:
Information management policies 148 can additionally specify or depend on 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:
Exemplary Storage Policy and Secondary Copy Operations
As indicated by the dashed box, the second media agent 144B and tape library 108B are “off-site,” and may be remotely located from the other components in system 100 (e.g., in a different city, office building, etc.). Indeed, “off-site” may refer to a magnetic tape located in remote storage, which must be manually retrieved and loaded into a tape drive to be read. In this manner, information stored on the tape library 108B may provide protection in the event of a disaster or other failure at the main site(s) where data is stored.
The file system subclient 112A in certain embodiments generally comprises information generated by the file system and/or operating system of 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 subclient 112B can include data generated by an e-mail application operating on client computing device 102, e.g., mailbox information, folder information, emails, attachments, associated database information, and the like. As described above, the subclients can be logical containers, and the data included in the corresponding primary data 112A and 112B may or may not be stored contiguously.
The exemplary storage policy 148A includes backup copy preferences (or rule set) 160, disaster recovery copy preferences or rule set 162, and compliance copy preferences or rule set 164. Backup copy rule set 160 specifies that it is associated with file system subclient 166 and email subclient 168. Each of subclients 166 and 168 are associated with the particular client computing device 102. Backup copy rule set 160 further specifies that the backup operation will be written to disk library 108A and designates a particular media agent 144A to convey the data to disk library 108A. Finally, backup copy rule set 160 specifies that backup copies created according to rule set 160 are scheduled to be generated hourly and are to be retained for 30 days. In some other embodiments, scheduling information is not included in storage policy 148A and is instead specified by a separate scheduling policy.
Disaster recovery copy rule set 162 is associated with the same two subclients 166 and 168. However, disaster recovery copy rule set 162 is associated with tape library 108B, unlike backup copy rule set 160. Moreover, disaster recovery copy rule set 162 specifies that a different media agent, namely 144B, will convey data to tape library 108B. Disaster recovery copies created according to rule set 162 will be retained for 60 days and will be generated daily. Disaster recovery copies generated according to disaster recovery copy rule set 162 can provide protection in the event of a disaster or other catastrophic data loss that would affect the backup copy 116A maintained on disk library 108A.
Compliance copy rule set 164 is only associated with the email subclient 168, and not the file system subclient 166. Compliance copies generated according to compliance copy rule set 164 will therefore not include primary data 112A from the file system subclient 166. For instance, the organization may be under an obligation to store and 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 file system data. Compliance copy rule set 164 is associated with the same tape library 108B and media agent 144B as disaster recovery copy rule set 162, although a different storage device or media agent could be used in other embodiments. Finally, compliance copy rule set 164 specifies that copies generated under compliance copy rule set 164 will be retained for 10 years and will be generated quarterly.
Secondary Copy Jobs
A logical grouping of secondary copy operations governed by a rule set and being initiated at a point in time may be referred to as a “secondary copy job” and sometimes may be called a “backup job,” even though it is not necessarily limited to creating backup copies. Secondary copy jobs may be initiated on demand as well. Steps 1-9 below illustrate three secondary copy jobs based on storage policy 148A.
At step 1, storage manager 140 initiates a backup job according to the backup copy rule set 160, which logically comprises all the secondary copy operations necessary to effectuate rules 160 in storage policy 148A every hour, including steps 1-4 occurring hourly. For instance, a scheduling service running on storage manager 140 accesses backup copy rule set 160 or a separate scheduling policy associated with client computing device 102 and initiates a backup job on an hourly basis. Thus, at the scheduled time, storage manager 140 sends instructions to client computing device 102 (i.e., to both data agent 142A and data agent 142B) to begin the backup job.
At step 2, file system data agent 142A and email data agent 142B operating on client computing device 102 respond to the instructions received from storage manager 140 by accessing and processing the respective subclient primary data 112A and 112B involved in the backup copy operation, which can be found in primary storage device 104. Because the secondary copy 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 suitable for a backup copy.
At step 3, client computing device 102 (e.g., using file system data agent 142A) communicates the processed data to the first media agent 144A according to backup copy rule set 160, as directed by storage manager 140. Storage manager 140 may further keep a record in management database 146 of the association between media agent 144A and one or more of: client computing device 102, file system data agent 142A, and/or backup copy 116A.
The target media agent 144A receives the data-agent-processed data from client computing device 102, and at step 4 generates and conveys backup copy 116A to disk library 108A to be stored as backup copy 116A, again at the direction of storage manager 140 and according to backup copy rule set 160. Media agent 144A can also update its index 153 to include data and/or metadata related to backup copy 116A, such as information indicating where the backup copy 116A resides on disk library 108A, data and metadata for cache retrieval, etc. Storage manager 140 may similarly update its index 150 to include information relating to the secondary copy operation, such as information relating to the type of operation, a physical location associated with one or more copies created by the operation, the time the operation was performed, status information relating to the operation, the components involved in the operation, and the like. In some cases, storage manager 140 may update its index 150 to include some or all of the information stored in index 153 of media agent 144A. At this point, the backup job may be considered complete. After the 30-day retention period expires, storage manager 140 instructs media agent 144A to delete backup copy 116A from disk library 108A and indexes 150 and/or 153 are updated accordingly.
At step 5, storage manager 140 initiates another backup job according to the disaster recovery rule set 162. Illustratively this includes steps 5-7 occurring daily for creating disaster recovery copy 116B. Disaster recovery copy 116B will be based on backup copy 116A and not on primary data 112A and 112B.
At step 6, illustratively based on instructions received from storage manager 140 at step 5, the specified media agent 144B retrieves the most recent backup copy 116A from disk library 108A.
At step 7, again at the direction of storage manager 140 and as specified in disaster recovery copy rule set 162, media agent 1446 uses the retrieved data to create a disaster recovery copy 1166 and store it to tape library 1086. In some cases, disaster recovery copy 116B is a direct, mirror copy of backup copy 116A, and remains in the backup format. In other embodiments, disaster recovery copy 1166 may be generated in some other manner, such as by using primary data 112A, 112B from primary storage device 104 as source data. The disaster recovery copy operation is initiated once a day and disaster recovery copies 1166 are deleted after 60 days; indexes 153 and/or 150 are updated accordingly when/after each information management operation is executed and/or completed. The present backup job may be considered to be complete.
At step 8, storage manager 140 initiates another backup job according to compliance rule set 164, which includes steps 8-9 occurring quarterly for creating compliance copy 116C. For instance, storage manager 140 instructs media agent 144B to create compliance copy 116C on tape library 108B, as specified in the compliance copy rule set 164.
At step 9 in the example, compliance copy 116C is generated using disaster recovery copy 116B as the source. In other embodiments, compliance copy 116C is instead generated using primary data 1126 corresponding to the email subclient or using backup copy 116A from disk library 108A as source data. As specified in the illustrated example, compliance copies 116C are created quarterly, and are deleted after ten years, and indexes 153 and/or 150 are kept up-to-date accordingly.
Exemplary Applications of Storage Policies—Information Governance Policies and Classification
Storage manager 140 may permit a user to specify aspects of storage policy 148A. For example, the storage policy can be modified to include information governance policies to define how data should be managed in order to comply with a certain regulation or business objective. The various policies may be stored, for example, in management database 146. An information governance policy may align with one or more compliance tasks that are imposed by regulations or business requirements. Examples of information governance policies might include a Sarbanes-Oxley policy, a HIPAA policy, an electronic discovery (e-discovery) policy, and so on.
Information governance policies allow administrators to obtain different perspectives on an organization's online and offline data, without the need for a dedicated data silo created solely for each different viewpoint. As described previously, the data storage systems herein build an index that reflects the contents of a distributed data set that spans numerous clients and storage devices, including both primary data and secondary copies, and online and offline copies. An organization may apply multiple information governance policies in a top-down manner over that unified data set and indexing schema in order to view and manipulate the data set through different lenses, each of which is adapted to a particular compliance or business goal. Thus, for example, by applying an e-discovery policy and a Sarbanes-Oxley policy, two different groups of users in an organization can conduct two very different analyses of the same underlying physical set of data/copies, which may be distributed throughout the information management system.
An information governance policy may comprise a classification policy, which defines a taxonomy of classification terms or tags relevant to a compliance task and/or business objective. A classification policy may also associate a defined tag with a classification rule. A classification rule defines a particular combination of criteria, such as users who have created, accessed or modified a document or data object; file or application types; content or metadata keywords; clients or storage locations; dates of data creation and/or access; review status or other status within a workflow (e.g., reviewed or un-reviewed); modification times or types of modifications; and/or any other data attributes in any combination, without limitation. A classification rule may also be defined using other classification tags in the taxonomy. The various criteria used to define a classification rule may be combined in any suitable fashion, for example, via Boolean operators, to define a complex classification rule. As an example, an e-discovery classification policy might define a classification tag “privileged” that is associated with documents or data objects that (1) were created or modified by legal department staff, or (2) were sent to or received from outside counsel via email, or (3) contain one of the following keywords: “privileged” or “attorney” or “counsel,” or other like terms. Accordingly, all these documents or data objects will be classified as “privileged.”
One specific type of classification tag, which may be added to an index at the time of indexing, is an “entity tag.” An entity tag may be, for example, any content that matches a defined data mask format. Examples of entity tags might include, e.g., social security numbers (e.g., any numerical content matching the formatting mask XXX-XX-XXXX), credit card numbers (e.g., content having a 13-16 digit string of numbers), SKU numbers, product numbers, etc. A user may define a classification policy by indicating criteria, parameters or descriptors of the policy via a graphical user interface, such as a form or page with fields to be filled in, pull-down menus or entries allowing one or more of several options to be selected, buttons, sliders, hypertext links or other known user interface tools for receiving user input, etc. For example, a user may define certain entity tags, such as a particular product number or project ID code that is relevant in the organization. In some implementations, the classification policy can be implemented using cloud-based techniques. For example, the storage devices may be cloud storage devices, and the storage manager 140 may execute cloud service provider API over a network to classify data stored on cloud storage devices.
Restore Operations from Secondary Copies
While not shown in
As one example, a user may manually initiate a restore of backup copy 116A, e.g., by interacting with user interface 158 of storage manager 140 or with a web-based console with access to system 100. Storage manager 140 may accesses data in its index 150 and/or management database 146 (and/or the respective storage policy 148A) associated with the selected backup copy 116A to identify the appropriate media agent 144A and/or secondary storage device 108A where the secondary copy resides. The user may be presented with a representation (e.g., stub, thumbnail, listing, etc.) and metadata about the selected secondary copy, in order to determine whether this is the appropriate copy to be restored, e.g., date that the original primary data was created. Storage manager 140 will then instruct media agent 144A and an appropriate data agent 142 to restore secondary copy 116A to primary storage device 104. 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, e.g., 144A, retrieves secondary copy 116A from disk library 108A. For instance, media agent 144A may access its index 153 to identify a location of backup copy 116A on disk library 108A, or may access location information residing on disk library 108A itself.
In some cases when backup copy 116A was recently created or accessed, caching may speed up the restore operation. In such a case, media agent 144A accesses a cached version of backup copy 116A residing in index 153, without having to access disk library 108A for some or all of the data. Once it has retrieved backup copy 116A, the media agent 144A communicates the data to the requesting client computing device 102. Upon receipt, file system data agent 142A and email data agent 142B may unpackage (e.g., restore from a backup format to the native application format) the data in backup copy 116A and restore the unpackaged data to primary storage device 104. In general, secondary copies 116 may be restored to the same volume or folder in primary storage device 104 from which the secondary copy was derived; to another storage location or client computing device 102; to shared storage. In some cases the data may be restored so that it may be used by an application 110 of a different version/vintage from the application that created the original primary data 112.
Exemplary Secondary Copy Formatting
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 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 one or more secondary 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, media agent 144, storage manager 140, or other component may divide files into chunks and generate headers for each chunk by processing the 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 secondary copy 116 on secondary storage device 108, the chunk headers can also be stored to index 153 of the associated media agent(s) 144 and/or to index 150 associated with storage manager 140. This can be useful in some cases for providing faster processing of secondary copies 116 during browsing, restores, or other operations. In some cases, once a chunk is successfully transferred to a secondary storage device 108, the secondary storage device 108 returns an indication of receipt, e.g., to media agent 144 and/or storage manager 140, which may update their respective indexes 153, 150 accordingly. During restore, chunks may be processed (e.g., by media agent 144) according to the information in the chunk header to reassemble the files.
Data can also be communicated within system 100 in data channels that connect client computing devices 102 to secondary storage devices 108. These data channels can be referred to as “data streams,” and multiple data streams can be employed to parallelize an information management operation, improving data transfer rate, among other advantages. Example data formatting techniques including techniques involving data streaming, chunking, and the use of other data structures in creating secondary copies are described in U.S. Pat. Nos. 7,315,923, 8,156,086, and 8,578,120.
Referring to
As an example, data structures 180 illustrated in
If the operating system of the secondary storage computing device 106 on which media agent 144 operates supports sparse files, then when media agent 144 creates container files 190/191/193, it can create them as sparse files. A sparse file is a type of file that may include empty space (e.g., a sparse file may have real data within it, such as at the beginning of the file and/or at the end of the file, but may also have empty space in it that is not storing actual data, such as a contiguous range of bytes all having a value of zero). Having container files 190/191/193 be sparse files allows media agent 144 to free up space in container files 190/191/193 when blocks of data in container files 190/191/193 no longer need to be stored on the storage devices. In some examples, media agent 144 creates a new container file 190/191/193 when a container file 190/191/193 either includes 100 blocks of data or when the size of the container file 190 exceeds 50 MB. In other examples, media agent 144 creates a new container file 190/191/193 when a container file 190/191/193 satisfies other criteria (e.g., it contains from approximately 100 to approximately 1000 blocks or when its size exceeds approximately 50 MB to 1 GB). In some cases, a file on which a secondary copy operation is performed may comprise a large number of data blocks. For example, a 100 MB file may comprise 400 data blocks of size 256 KB. If such a file is to be stored, its data blocks may span more than one container file, or even more than one chunk folder. As another example, a database file of 20 GB may comprise over 40,000 data blocks of size 512 KB. If such a database file is to be stored, its data blocks will likely span multiple container files, multiple chunk folders, and potentially multiple volume folders. Restoring such files may require accessing multiple container files, chunk folders, and/or volume folders to obtain the requisite data blocks.
Using Backup Data for Replication and Disaster Recovery (“Live Synchronization”)
There is an increased demand to offload resource intensive information management tasks (e.g., data replication tasks) away from production devices (e.g., physical or virtual client computing devices) in order to maximize production efficiency. At the same time, enterprises expect access to readily available, up-to-date recovery copies in the event of failure, with little or no production downtime.
The synchronization can be achieved by generally applying an ongoing stream of incremental backups from the source subsystem 201 to the destination subsystem 203, such as according to what can be referred to as an “incremental forever” approach.
As shown, the data can be copied in an incremental fashion, such that only changed blocks are transmitted. An example of live synchronization of virtual machines is found in U.S. Patent Application No. 62/265,339 entitled “Live Synchronization and Management of Virtual Machines across Computing and Virtualization Platforms and Using Live Synchronization to Support Disaster Recovery,” which is incorporated by reference in its entirety herein. Moreover, a deduplicated copy can be employed. For instance, the system can utilize one or more of the deduplicated copy techniques described in U.S. Pat. No. 9,239,687, entitled “Systems and Methods for Retaining and Using Data Block Signatures in Data Protection Operations,” which is incorporated by reference herein in its entirety. At step 4 the destination media agent(s) 244b write the backup data to the destination secondary storage device(s) 208b. At step 5 the synchronization is completed when the destination media agent(s) and destination data agent(s) 242 restore the backup data to the client computing device(s) 202b. This synchronization/replication process can incorporate the techniques described in U.S. patent application Ser. No. 14/721,971, entitled “Replication Using Deduplicated Secondary Copy Data,” which is incorporated by reference herein in its entirety.
Where the incremental backups are applied on a frequent, on-going basis, the synchronized copies can be viewed as mirror or replication copies. Moreover, by applying the incremental backups to the destination site 203 using backup data (or other secondary copy data), the production site 201 is not burdened with the synchronization operations. Because the failover site 203 can be maintained in a synchronized, “warm” state, the downtime for switching over from the production site 201 to the destination site 203 is substantially less than with a typical restore from secondary storage. Thus, the production site 201 may flexibly and efficiently fail over, with minimal downtime and with relatively up-to-date data, to a destination site 203, such as a cloud-based failover site. The destination site 203 can then be reverse synchronized back to the production site 201, such as after repairs have been implemented or after the failure has passed.
Integrating with the Cloud Using File System Protocols
Given the ubiquity of cloud computing, it can be increasingly useful to provide data protection and other information management services in a scalable, transparent, and highly plug-able fashion.
Where NFS is used, for example, the secondary storage subsystem 218 allocates an NFS network path to the client computing device 202 or to one or more target applications 210 running on the client computing device 202. During a backup or other secondary copy operation, the client computing device 202 mounts the designated NFS path and writes the data to that NFS path. The NFS path may be obtained from NFS path data 215 stored locally at the client computing device 202, and which may be a copy of or otherwise derived from NFS path data 219 stored in the secondary storage subsystem 218.
Write requests issued by the client computing device(s) 202 are received by the data agent 242 in the secondary storage subsystem 218, which translates the requests and works in conjunction with the media agent 244 to write the data to the secondary storage device(s) 208, thereby creating a backup or other secondary copy. The storage manager 240 can include a pseudo-client manager 217, which can coordinate the process by, among other things, communicating information relating to the client computing device 202 and application 210 (e.g., application type, client computing device identifier, etc.) to the data agent 242, obtain appropriate NFS path data from the data agent 242 (e.g., NFS path information) and deliver such data to the client computing device 202.
Conversely, during a restore or recovery operation the client computing device 202 reads from the designated NFS network path, and the read request is translated by the data agent 242. The data agent 242 then works with the media agent 244 to retrieve and forward the requested data to the client computing device 202 using NFS.
By moving specialized software associated with the information management system 200 such as the data agent 242 off the client computing devices 202, such an architecture effectively decouples the client computing devices 202 from the installed components of the information management system 200, improving both scalability and plug-ability of the information management system 200. Indeed, the secondary storage subsystem 218 in such environments can be treated simply as a read/write NFS target for the primary storage subsystem 217, without the need for information management software to be installed on the client computing device 202. As one example, an enterprise implementing a cloud production computing environment can add VM client computing devices 202 without installing and configuring specialized information management software on the newly added machines. Rather, backups and restores are achieved transparently, where the new VMs simply write to and read from the designated NFS path. An example of integrating with the cloud using file system protocols or so-called “infinite backup” using NFS share is found in U.S. Patent Application No. 62/294,920, entitled “Improved Data Protection Operations Based on Network Path Information,” which is incorporated by reference in its entirety herein. Examples of improved data restoration scenarios based on network-path information, including using stored backups effectively as primary data sources, may be found in U.S. Patent Application No. 62/297,057, entitled “Improved Data Restoration Operations Based on Network Path Information,” which is incorporated by reference in its entirety herein.
Highly Scalable Managed Data Pool Architecture
Enterprises are seeing explosive data growth in recent years, often from various applications running in geographically distributed locations.
The illustrated system 200 includes a grid 245 of media agents 244 logically organized into a control tier 231 and a secondary or storage tier 233. Media agents assigned to the storage tier 233 can be configured to manage a secondary storage pool 208 as a deduplication store, and be configured to receive client write and read requests from the primary storage subsystem 217, and direct those requests to the secondary tier 233 for servicing. For instance, media agents CMA1-CMA3 in the control tier 231 maintain and consult one or more deduplication databases 247, which can include deduplication information (e.g., data block hashes, data block links, file containers for deduplicated files, etc.) sufficient to read deduplicated files from the secondary storage pool 208 and write deduplicated files to the secondary storage pool 208. For instance, the system 200 can incorporate any of the deduplication systems and methods shown and described in greater detail in U.S. Pat. No. 9,020,900, entitled “Distributed Deduplicated Storage System,” and U.S. Pat. Pub. No. 2014/0201170, entitled “High Availability Distributed Deduplicated Storage System,” the entireties of which are hereby incorporated by reference herein.
Media agents SMA1-SMA6 assigned to the secondary tier 233 receive write and read requests from the media agents CMA1-CMA3 in the control tier 231, and access the secondary storage pool 208 to service those requests. The media agents CMA1-CMA3 in the control tier 231 can also be connected to the secondary storage pool 208, and may execute read and write requests themselves (e.g., in response to requests from other control media agents CMA1-CMA3) in addition to issuing requests to the media agents in the secondary tier 233. Moreover, while shown as separate from the secondary storage pool 208, the deduplication database(s) 247 can in some cases reside in storage devices in the secondary storage pool 208.
As shown, each of the media agents 244 (e.g., CMA1-CMA3 and SMA1-SMA6) in the grid 245 can be allocated a corresponding dedicated partition 251A-251I, respectively, in the secondary storage pool 208. Each partition 251 can include a first portion 253 containing data associated with (e.g., stored by) the media agent 244 corresponding to the respective partition 251. The system 200 can also implement a desired level of replication, thereby providing redundancy in the event of a failure of a media agent 244 in the grid 245. Along these lines, each partition 251 can further include a second portion 255 storing one or more replication copies of the data associated with one or more other media agents 244 in the grid.
The system 200 can also be configured to allow for seamless addition of media agents 244 to the grid 245 via automatic configuration. As one illustrative example, a storage manager (not shown) or other appropriate component may determine that it is appropriate to add an additional node to the control tier 231, and perform some or all of the following: (i) assess the capabilities of a newly added or otherwise available computing device as satisfying a minimum criteria to be configured as or hosting a media agent in the control tier 231; (ii) confirm that a sufficient amount of the appropriate type of storage exists to support an additional node in the control tier 231 (e.g., enough disk drive capacity exists in the storage pool 208 to support an additional deduplication database 247); (iii) install appropriate media agent software on the computing device and configure the computing device according to a predetermined template; (iv) establish a partition 251 in the storage pool 208 dedicated to the newly established media agent 244; and (v) build any appropriate data structures (e.g., an instance of the deduplication database 247). An example of highly scalable managed data pool architecture or so-called web-scale architecture for storage and data management is found in U.S. Patent Application No. 62/273,286 entitled “Redundant and Robust Distributed Deduplication Data Storage System,” which is incorporated by reference in its entirety herein.
The embodiments and components thereof disclosed in
Overview of Improved Snapshot Replication Operations Based on Incremental Block Change Tracking
Many approaches to protecting data involve creating a copy of the data, such as backing up and/or replicating data stored in primary storage onto one or more secondary storage devices. One such approach is to perform data replications using snapshots. In some implementations, a snapshot capturing the state of a storage device, file system, or volume at a specific point in time is periodically generated. For example, these snapshots may be used to provide a point-in-time image of a live storage volume. The generated snapshots may be compared to prior snapshots to identify changes to the primary data stored in the storage device. The identified changes are accessed from the primary storage and transmitted to a replication destination.
However, depending on the implementation, snapshot replication operations can have a significant negative impact on the performance of the source or primary system. For example, computing resources of the source system may be expended in copying data to the destination system rather than being used to process application requests. In some cases, generating snapshots more frequently may reduce the amount of changes to the primary data that need to be copied over for each snapshot. However, generating snapshots too frequently may have other negative consequences on the processing and storage performance of the source system. Thus, an improved method of performing snapshot replication operations that reduces the amount of negative performance impact on the source system is desired.
According to some embodiments of the present disclosure, changes to the primary data of the source system may be monitored and collected on an ongoing basis between snapshots such that by the time a snapshot is generated, most or all of the changes to the primary data since the most recent snapshot replication have already been accessed from the primary storage. In such embodiments, the amount of changes that need to be accessed from the primary storage is significantly reduced. Thus, the amount of time and computing resources consumed by the snapshot replication process is also reduced, thereby minimizing or reducing the negative performance impact that the snapshot replication process may have on the source system.
Certain example embodiments for implementing the improved snapshot replication process based on incremental block change tracking are described below with reference to
An Exemplary System for Implementing Improved Snapshot Replication Process Based on Incremental Block Change Tracking
The client computing device 302 includes an application 310, a filter driver 312, a primary storage device 314, and a data agent 316. The primary storage device 314 stores primary data 318 associated with the application 310 and change data 320 including some or all of the changes made to the primary data 318 (e.g., changes since the most recent snapshot replication or since a specific point in time). In some embodiments, the client computing device 302 may be a virtual machine running the application 310. Although not illustrated in
The application 310 may be a database application, a mail application, or any other application that may be installed on the client computing device 302. The application 310 may generate application data (e.g., files containing information generated or processed by the application 310) and store such application data in the primary storage device 314. The application 310 may also access the data stored in the primary storage device 314 and move, modify, or delete such data. The application data stored in the primary storage device 314 may be referred to herein as primary data (e.g., primary data 318). Alternatively, or additionally, a secondary copy of the application data may be created by causing the application data to be transferred over a network connection and stored at least partially on a secondary storage device (e.g., secondary storage device 308), via a replication operation or another type of appropriate secondary copy operation. Such a secondary copy may be referred to herein as secondary data (e.g., first copy of primary data 324 and second copy of primary data 326).
The filter driver 312 may interact with the data associated with the application 310. For instance, the filter driver 312 may comprise a file system filter driver, an operating system driver, a filtering program, a data trapping program, an application, a module of the application 310, an application programming interface (“API”), or other like software module or process that, among other things, monitors and/or intercepts particular application requests targeted at a file system, another file system filter driver, a network attached storage (“NAS”), a storage area network (“SAN”), mass storage, and/or other memory or raw data. In some embodiments, the filter driver 312 may reside in the I/O stack of the application 310 and may intercept, analyze, and/or copy certain data traveling from the application 310 to a file system.
In some embodiments, the filter driver 312 may intercept data modification operations that include changes, updates, and new information (e.g., data writes) with respect to the applications of interest (e.g., application 310). For example, the filter driver 312 may locate, monitor, and/or process one or more of the following with respect to a particular application, application type, or group of applications: data management operations (e.g., data write operations, file attribute modifications), logs or journals (e.g., NTFS change journal), configuration files, file settings, control files, other files used by the application 310, combinations of the same or the like. In certain embodiments, such data may also be gathered from files across multiple storage systems within the source system (e.g., client computing device 302 and/or other computing devices). Furthermore, the filter driver 312 may be configured to monitor changes to particular files, such as files identified as being associated with data of the application 310.
In certain embodiments, the filter driver 312 may examine the operations performed by the application 310, determine whether the type of operation is one of interest for replication purposes, and/or log any changes to the primary data 318 caused by the operations in a log file. The entries in the log file may be copies or portions of some or all of the data operations outputted from the application 310 to the primary storage device 314. In some embodiments, the log entries may include other system information, such as time stamp information or other metadata obtained from the data.
Additionally or alternatively, the filter driver 312 may maintain a change bitmap that indicates which of the blocks associated with the primary data 318 have been changed since the most recent replication. In some embodiments, the data agent 316 may query the filter driver 312 for (or otherwise access) the log file and/or the change bitmap in order to determine the blocks that are to be copied over to the replication destination. In some embodiments, the log file or the change bitmap may indicate changes to the primary data 318 since the most recent query to the filter driver 312 for the log file or change bitmap. For example, once the data agent 316 queries the filter driver 312 to retrieve the change bitmap, the filter driver 312 may reset the change bitmap such that the change bitmap indicates only those changes to the primary data 318 that occur after the reset. Additional examples of filter drivers and data replication processes are provided in U.S. Pat. No. 7,617,262, entitled “System and Methods for Monitoring Application Data in a Data Replication System,” which is incorporated by reference herein in its entirety. Although replication operations are used as example data protection operations in connection with some embodiments of the present disclosure, the techniques described herein may be extended to backup operations or other data protection (or other information management) operations.
The data agent 316 comprises a module responsible for performing data and/or storage tasks related to the client computing device 302. For example, the data agent 316 may manage and/or coordinate the compilation of and/or transferring of replication data from the client computing system 302. In other embodiments, the data agent 316 may provide archiving, migrating, and/or recovery of the primary data (e.g., primary data 318).
In some embodiments, the data agent 316 is configured to perform data management operations (e.g., snapshot replication operations) in accordance with one or more storage policies or other preferences. For example, the data agent 316 may generate a snapshot of the primary data on the client computing device 302 periodically or at specific points in time specified in a storage policy and cause the change data to be transmitted to a replication destination (e.g., secondary storage device 308). The change data may include an indication of which portions (e.g., blocks of bits or bytes on the primary storage device 314) of the primary data have been changed since the last replication and copies of the modified portions or blocks.
Additionally, the data agent 316 may query the filter driver 312 to retrieve a change log or bitmap. The change log or bitmap may indicate which of the blocks associated with the primary data 318 have been changed (e.g., created, modified, deleted, etc.) since the most recent query to the filter driver 312. Based on the change log or bitmap, the data agent 316 may determine which blocks have been changed since the last query to the filter driver 312 and store copies of such blocks (e.g., change data 320) in an intermediate staging area for subsequent transmission to the destination system (e.g., secondary storage device 308), for example, according to the schedule defined by the storage policy. In other embodiments, the copies of the changed blocks are transmitted to the destination system after each query to the filter driver 312 without being stored in a staging area.
Further, the data agent 316 may query the filter driver 312 and/or copy the changes to the staging area at time periods during which the client computing device 302 and/or the application 310 are experiencing low (or less than average or below a threshold) activity. For example, the data agent 316 may access historical metric data associated with the usage of computing resources by the client computing device 302 and/or the application 310, and query the filter driver 312 and/or copy the changes to the staging area when the client computing device 302 and/or the application 310 are using a less than average (or below a threshold) amount of computing resources.
In some embodiments, the staging area is part of the primary storage device 314. In another embodiment, the staging area is implemented in another storage device that is separate from the primary storage device 314. In yet another embodiment, the staging area is implemented in a storage device whose data access requests have no or minimal impact on the performance of the client computing device 302 and/or the primary storage device 314. For example, the copying from such a storage device to the destination system may have no or minimal performance impact on the client computing device 302 and/or the primary storage device 314. In some embodiments, the primary data 318 and the change data 320 may be stored on different virtual machines.
The data agent 316 may be configured to communicate with the media agent 306 to cause copies of the primary data to be stored in the secondary storage device 308. For example, after identifying the change data to be transmitted to the replication destination, the data agent 316 may send the media agent 306 a request to transmit the identified change data (e.g., from the client computing device 302 or an intermediate staging area) to the secondary storage device 308. Alternatively, the data agent 316 may forward the identified change data to the media agent 306. In some embodiments, the data agent 316 may communicate with the storage manager 304 to facilitate the transmission of the identified changed data to the appropriate media agent(s) and/or secondary storage device(s). The method of performing improved snapshot replication operations based on block change tracking according to embodiments of the present disclosure is further described below with reference to
Although the data agent 316 is shown in the example of
The data agent 316 (or one or more components thereof) may further be configured to provide one or more functions of the data agent 142 (or one or more components thereof) described above with reference
The storage manager 304 may communicate with the data agent 316, the media agent 306, and/or the secondary storage device 308 to facilitate the snapshot replication operations described herein. As illustrated in
The snapshot replication policy may also specify the frequency at which the data agent 316 is to query the filter driver 312 and/or track incremental block changes. In some embodiments, the frequency at which the filter driver 312 is to be queried for the change bitmap is substantially higher than the frequency at which the data agent 316 (or another component) is to generate a snapshot of the primary data and copy over the changes that have occurred since the most recent replication. For example, the frequency at which the filter driver 312 is to be queried for the change bitmap may be every minute or every five minutes, whereas the frequency at which the data agent 316 (or another component) is to generate a snapshot of the primary data may be every hour or every day. In some embodiments, the snapshot manager 322 dynamically adjusts the frequency at which the filter driver 312 is to be queried for the change bitmap and/or the frequency at which the data agent 316 is to copy over the changes indicated in the change bitmap to a staging area or a remote location so as to reduce or minimize the impact on the performance of the client computing device 302 and/or on the application 310. The snapshot manager 322 may adjust one or more of the frequencies based on historical metric data associated with the client computing device 302 and/or the application 310.
The storage manager 304 (or one or more components thereof) may be further configured to provide one or more functions of the storage manager 140 described above.
The media agent 306 may be implemented as a software module that manages, coordinates, and facilitates the transmission of the copies of the primary data (e.g., change data 320) received from the data agent 316 and/or the client computing device 302 to and/or from the secondary storage device 308 (e.g., between the client computing device 302 and the secondary storage device 308). Although the secondary storage device 308 is shown as a single secondary storage device in the example of
The media agent 306 (or one or more components thereof) may further be configured to provide one or more functions of the media agent(s) 144 (or one or more components thereof) described above with reference
Although the client computing device 302 is described as the source system of the snapshot replication operations in the example of
The secondary storage device 308 may store replication copies of the primary data 318 stored in the primary storage device 314. As illustrated, the secondary storage device 308 may store multiple copies of the primary data 318 (e.g., first copy of primary data 324, second copy of primary data 326, etc.). Each copy may represent the state of the primary data 318 at a different point in time captured in a snapshot generated according to a snapshot replication policy. The secondary storage device 308 may also store other data in addition to those described in the present disclosure.
The secondary storage device 308 (or one or more components thereof) may further be configured to provide one or more functions of the secondary storage device 108 described above with reference
The system 300 and corresponding components of
An Example Flow Diagram Illustrating Improved Snapshot Replication Process
At block 402, the data agent 316 performs a snapshot replication. The snapshot replication may include generating a snapshot of the primary data 318 stored in the primary storage device 314 and transmitting any changes to the primary data 318 since the most recent snapshot replication performed by the data agent 316, for example, by comparing the generated snapshot to a previously generated snapshot.
In some embodiments, generating a snapshot may cause the primary data associated with the generated snapshot to be read-only and cause any subsequent changes to the primary data to be directed to an alternative location in the primary storage. In such embodiments, after generating a snapshot, the data agent 316 may cause the read-only copy of the primary data (or change data) associated with the snapshot to be copied over to the replication destination and delete the snapshot that was taken immediately prior to the current snapshot so that the read-only copy of the primary data (or change data) can be consolidated.
At block 404, the data agent 316 queries the filter driver 312 to receive a change bitmap. The filter driver 312 may maintain a change bitmap that indicates the block-level changes to the primary data 318. When queried by the data agent 316, the filter driver 312 may provide a change bitmap that indicates the block-level changes to the primary data 318 since the most recent query to the filter driver 312.
At block 406, the data agent 316 updates cumulative block-level changes stored in an intermediate staging area based on the received change bitmap. In some embodiments, the cumulative block-level changes are stored in the primary storage device 314 as part of the change data 320. Alternatively, the staging area may be implemented in another storage device that is separate from the primary storage device 314. In another embodiment, the staging area may be implemented in a storage device whose data access requests have no or minimal impact on the performance of the client computing device 302 and/or the primary storage device 314.
In response to determining that the change bitmap indicates an additional change to a block of data associated with a block change already stored in the staging area, the data agent 316 may update the block change to reflect the additional change indicated by the change bitmap (e.g., without creating a new entry or storing a new block). Alternatively, the data agent 316 may add the block changes indicated by the change bitmap to the staging area without first determining whether the changes are associated with any blocks that already have block changes stored in the staging area. As another example, in response to determining that the change bitmap indicates a change to a block of data that is not stored in the staging area, the data agent 316 may store the change associated with the block to the staging area, for example, by accessing the block in the primary storage device 314.
At block 408, the data agent 316 determines whether a new snapshot has been generated. If the data agent 316 determines that a new snapshot has not been generated, the routine 400 proceeds to block 404 to repeat blocks 404 through 408. Otherwise, the routine 400 proceeds to block 410. In some embodiments, the data agent 316, upon determining that a new snapshot has not been generated, may further determine whether the usage of computing resources by the client computing device 302 is below a threshold level. If the data agent 316 determines that the usage is below a threshold level, the routine 400 may proceed to block 404. Otherwise, the data agent 316 may wait for a predetermined time period before making the determination of whether the usage is below a threshold level again or the routine 400 may proceed to block 408 again.
At block 410, the data agent 316 performs the next snapshot replication. The snapshot replication performed at block 410 may include transmitting the changes made to the primary data 318 since the most recent snapshot replication was performed (e.g., at block 402). For example, the data agent 316 may determine whether the latest snapshot includes any changes to the primary data 318 that are not stored in the staging area. The data agent 316 may make such a determination by querying the filter driver 312 and checking whether the change bitmap indicates any additional changes to the primary data 318. If the data agent 316 determines that the latest snapshot generated at block 410 includes changes not stored in the staging area, the data agent 316 causes the changes to be transmitted to a remote destination (e.g., secondary storage device 308) along with the changes stored in the staging area. In some embodiments, the data agent 316 may first store such additional changes (e.g. those associated with the latest snapshot but not yet stored in the staging area) in the staging area, and then cause all of the changes stored in the staging area to be transmitted to the replication destination.
The routine 400 can include fewer, more, or different blocks than those illustrated in
An Illustrative Example of Improved Snapshot Replication Based on Incremental Block Change Tracking
Now specific, illustrative examples will be provided with reference to
In the example of
As illustrated by
Some example enumerated embodiments of the present invention are recited in this section in the form of methods, systems, and/or tangible non-transitory computer-readable media without limitation,
EE1, A method for performing a snapshot replication operation in a data storage system, the method comprising:
EE2, A system for performing a snapshot replication operation in a data storage system, the system comprising:
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.
Unless the context clearly requires otherwise, throughout the description and the claims, the words “comprise,” “comprising,” and the like are to be construed in an inclusive sense, as opposed to an exclusive or exhaustive sense, i.e., in the sense of “including, but not limited to.” As used herein, the terms “connected,” “coupled,” or any variant thereof means any connection or coupling, either direct or indirect, between two or more elements; the coupling or connection between the elements can be physical, logical, or a combination thereof. Additionally, the words “herein,” “above,” “below,” and words of similar import, when used in this application, refer to this application as a whole and not to any particular portions of this application. Where the context permits, words using the singular or plural number may also include the plural or singular number respectively. The word “or” in reference to a list of two or more items, covers all of the following interpretations of the word: any one of the items in the list, all of the items in the list, and any combination of the items in the list. Likewise the term “and/or” in reference to a list of two or more items, covers all of the following interpretations of the word: any one of the items in the list, all of the items in the list, and any combination of the items in the list.
In some embodiments, certain operations, 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 altogether (e.g., not all are necessary for the practice of the algorithms). In certain embodiments, operations, acts, functions, 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. Software and other modules may reside and execute on servers, workstations, personal computers, computerized tablets, PDAs, and other computing devices suitable for the purposes described herein. Software and other modules may be accessible via local computer 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, interactive voice response, command line interfaces, and other suitable interfaces.
Further, 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 and/or computing devices. Likewise, the data repositories shown can represent physical and/or logical data storage, including, e.g., 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, specially-equipped computer (e.g., comprising a high-performance database server, a graphics subsystem, etc.) or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor(s) 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 non-transitory 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 to a computing device or other programmable data processing apparatus to cause operations to be performed on the computing device or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computing device or other programmable apparatus provide steps for implementing the acts specified in the flow chart and/or block diagram block or blocks.
Any patents and applications and other references noted above, including any that may be listed in accompanying filing papers, are incorporated herein by reference. Aspects of the invention can be modified, if necessary, to employ the systems, functions, and concepts of the various references described above to provide yet further implementations of the invention. These and other changes can be made to the invention in light of the above Detailed Description. While the above description describes certain examples of the invention, and describes the best mode contemplated, no matter how detailed the above appears in text, the invention can be practiced in many ways. Details of the system may vary considerably in its specific implementation, while still being encompassed by the invention disclosed herein. As noted above, particular terminology used when describing certain features or aspects of the invention should not be taken to imply that the terminology is being redefined herein to be restricted to any specific characteristics, features, or aspects of the invention with which that terminology is associated. In general, the terms used in the following claims should not be construed to limit the invention to the specific examples disclosed in the specification, unless the above Detailed Description section explicitly defines such terms. Accordingly, the actual scope of the invention encompasses not only the disclosed examples, but also all equivalent ways of practicing or implementing the invention under the claims.
To reduce the number of claims, certain aspects of the invention are presented below in certain claim forms, but the applicant contemplates other aspects of the invention in any number of claim forms. For example, while only one aspect of the invention is recited as a means-plus-function claim under 35 U.S.C sec. 112(f) (AIA), other aspects may likewise be embodied as a means-plus-function claim, or in other forms, such as being embodied in a computer-readable medium. Any claims intended to be treated under 35 U.S.C. § 112(f) will begin with the words “means for,” but use of the term “for” in any other context is not intended to invoke treatment under 35 U.S.C. § 112(f). Accordingly, the applicant reserves the right to pursue additional claims after filing this application, in either this application or in a continuing application.
This disclosure is a continuation of U.S. patent application Ser. No. 16/660,540, filed on Oct. 22, 2019 and title “SNAPSHOT REPLICATION OPERATIONS BASED ON INCREMENTAL BLOCK CHANGE TRACKING,” which is a continuation of U.S. patent application Ser. No. 15/454,917, filed on Mar. 9, 2017 and titled “SNAPSHOT REPLICATION OPERATIONS BASED ON INCREMENTAL BLOCK CHANGE TRACKING,” which is a non-provisional of U.S. Provisional Patent Application No. 62/306,545, filed on Mar. 10, 2016 and titled “IMPROVED SNAPSHOT REPLICATION OPERATIONS BASED ON INCREMENTAL BLOCK CHANGE TRACKING.” Any and all applications for which a foreign or domestic priority claim is identified in the Application Data Sheet of the present application are hereby incorporated by reference under 37 CFR 1.57.
| Number | Name | Date | Kind |
|---|---|---|---|
| 4296465 | Lemak | Oct 1981 | A |
| 4686620 | Ng | Aug 1987 | A |
| 4995035 | Cole et al. | Feb 1991 | A |
| 5005122 | Griffin et al. | Apr 1991 | A |
| 5093912 | Dong et al. | Mar 1992 | A |
| 5133065 | Cheffetz et al. | Jul 1992 | A |
| 5193154 | Kitajima et al. | Mar 1993 | A |
| 5212772 | Masters | May 1993 | A |
| 5226157 | Nakano et al. | Jul 1993 | A |
| 5239647 | Anglin et al. | Aug 1993 | A |
| 5241668 | Eastridge et al. | Aug 1993 | A |
| 5241670 | Eastridge et al. | Aug 1993 | A |
| 5263154 | Eastridge et al. | Nov 1993 | A |
| 5265159 | Kung | Nov 1993 | A |
| 5276860 | Fortier et al. | Jan 1994 | A |
| 5276867 | Kenley et al. | Jan 1994 | A |
| 5287500 | Stoppani, Jr. | Feb 1994 | A |
| 5301351 | Jippo | Apr 1994 | A |
| 5311509 | Heddes et al. | May 1994 | A |
| 5317731 | Dias et al. | May 1994 | A |
| 5321816 | Rogan et al. | Jun 1994 | A |
| 5333315 | Saether et al. | Jul 1994 | A |
| 5347653 | Flynn et al. | Sep 1994 | A |
| 5369757 | Spiro et al. | Nov 1994 | A |
| 5403639 | Belsan et al. | Apr 1995 | A |
| 5410700 | Fecteau et al. | Apr 1995 | A |
| 5448724 | Hayashi et al. | Sep 1995 | A |
| 5455926 | Keele et al. | Oct 1995 | A |
| 5487072 | Kant | Jan 1996 | A |
| 5491810 | Allen | Feb 1996 | A |
| 5495607 | Pisello et al. | Feb 1996 | A |
| 5504873 | Martin et al. | Apr 1996 | A |
| 5544345 | Carpenter et al. | Aug 1996 | A |
| 5544347 | Yanai et al. | Aug 1996 | A |
| 5546536 | Davis et al. | Aug 1996 | A |
| 5555404 | Torbjornsen et al. | Sep 1996 | A |
| 5559957 | Balk | Sep 1996 | A |
| 5559991 | Kanfi | Sep 1996 | A |
| 5604862 | Midgely et al. | Feb 1997 | A |
| 5615392 | Harrison et al. | Mar 1997 | A |
| 5619644 | Crockett et al. | Apr 1997 | A |
| 5638509 | Dunphy et al. | Jun 1997 | A |
| 5642496 | Kanfi | Jun 1997 | A |
| 5673381 | Huai et al. | Sep 1997 | A |
| 5677900 | Nishida et al. | Oct 1997 | A |
| 5682513 | Candelaria et al. | Oct 1997 | A |
| 5687343 | Fecteau et al. | Nov 1997 | A |
| 5689706 | Rao et al. | Nov 1997 | A |
| 5699361 | Ding et al. | Dec 1997 | A |
| 5719786 | Nelson et al. | Feb 1998 | A |
| 5720026 | Uemura et al. | Feb 1998 | A |
| 5729743 | Squibb | Mar 1998 | A |
| 5737747 | Vishlitsky et al. | Apr 1998 | A |
| 5742792 | Yanai et al. | Apr 1998 | A |
| 5751997 | Kullick et al. | May 1998 | A |
| 5758359 | Saxon | May 1998 | A |
| 5761677 | Senator et al. | Jun 1998 | A |
| 5761734 | Pfeffer et al. | Jun 1998 | A |
| 5764972 | Crouse et al. | Jun 1998 | A |
| 5765173 | Cane et al. | Jun 1998 | A |
| 5778395 | Whiting et al. | Jul 1998 | A |
| 5790114 | Geaghan et al. | Aug 1998 | A |
| 5790828 | Jost | Aug 1998 | A |
| 5805920 | Sprenkle et al. | Sep 1998 | A |
| 5812398 | Nielsen | Sep 1998 | A |
| 5813009 | Johnson et al. | Sep 1998 | A |
| 5813017 | Morris | Sep 1998 | A |
| 5819292 | Hitz et al. | Oct 1998 | A |
| 5829046 | Tzelnic et al. | Oct 1998 | A |
| 5835953 | Ohran | Nov 1998 | A |
| 5875478 | Blumenau | Feb 1999 | A |
| 5875481 | Ashton et al. | Feb 1999 | A |
| 5878408 | Van Huben et al. | Mar 1999 | A |
| 5887134 | Ebrahim | Mar 1999 | A |
| 5901327 | Ofek | May 1999 | A |
| 5907621 | Bachman et al. | May 1999 | A |
| 5907672 | Matze et al. | May 1999 | A |
| 5924102 | Perks | Jul 1999 | A |
| 5926836 | Blumenau | Jul 1999 | A |
| 5933104 | Kimura | Aug 1999 | A |
| 5933601 | Fanshier et al. | Aug 1999 | A |
| 5938135 | Sasaki et al. | Aug 1999 | A |
| 5950205 | Aviani, Jr. | Sep 1999 | A |
| 5956519 | Wise et al. | Sep 1999 | A |
| 5958005 | Thorne et al. | Sep 1999 | A |
| 5970233 | Liu et al. | Oct 1999 | A |
| 5970255 | Tran et al. | Oct 1999 | A |
| 5974563 | Beeler, Jr. | Oct 1999 | A |
| 5987478 | See et al. | Nov 1999 | A |
| 5991779 | Bejar | Nov 1999 | A |
| 5995091 | Near et al. | Nov 1999 | A |
| 6003089 | Shaffer et al. | Dec 1999 | A |
| 6009274 | Fletcher et al. | Dec 1999 | A |
| 6012090 | Chung et al. | Jan 2000 | A |
| 6021415 | Cannon et al. | Feb 2000 | A |
| 6021475 | Nguyen et al. | Feb 2000 | A |
| 6023710 | Steiner et al. | Feb 2000 | A |
| 6026414 | Anglin | Feb 2000 | A |
| 6049889 | Steely, Jr. et al. | Apr 2000 | A |
| 6052735 | Ulrich et al. | Apr 2000 | A |
| 6061692 | Thomas et al. | May 2000 | A |
| 6072490 | Bates et al. | Jun 2000 | A |
| 6076148 | Kedem et al. | Jun 2000 | A |
| 6094416 | Ying | Jul 2000 | A |
| 6105129 | Meier et al. | Aug 2000 | A |
| 6112239 | Kenner et al. | Aug 2000 | A |
| 6122668 | Teng et al. | Sep 2000 | A |
| 6131095 | Low et al. | Oct 2000 | A |
| 6131148 | West et al. | Oct 2000 | A |
| 6131190 | Sidwell | Oct 2000 | A |
| 6137864 | Yaker | Oct 2000 | A |
| 6148377 | Carter et al. | Nov 2000 | A |
| 6148412 | Cannon et al. | Nov 2000 | A |
| 6154787 | Urevig et al. | Nov 2000 | A |
| 6154852 | Amundson et al. | Nov 2000 | A |
| 6158044 | Tibbetts | Dec 2000 | A |
| 6161111 | Mutalik et al. | Dec 2000 | A |
| 6163856 | Dion et al. | Dec 2000 | A |
| 6167402 | Yeager | Dec 2000 | A |
| 6175829 | Li et al. | Jan 2001 | B1 |
| 6195695 | Cheston et al. | Feb 2001 | B1 |
| 6205450 | Kanome et al. | Mar 2001 | B1 |
| 6212512 | Barney et al. | Apr 2001 | B1 |
| 6212521 | Minami et al. | Apr 2001 | B1 |
| 6230164 | Rikieta et al. | May 2001 | B1 |
| 6260069 | Anglin | Jul 2001 | B1 |
| 6269431 | Dunham | Jul 2001 | B1 |
| 6275953 | Vahalia et al. | Aug 2001 | B1 |
| 6279078 | Sicola et al. | Aug 2001 | B1 |
| 6292783 | Rohler | Sep 2001 | B1 |
| 6301592 | Aoyama et al. | Oct 2001 | B1 |
| 6304880 | Kishi | Oct 2001 | B1 |
| 6311193 | Sekido et al. | Oct 2001 | B1 |
| 6324581 | Xu et al. | Nov 2001 | B1 |
| 6328766 | Long | Dec 2001 | B1 |
| 6330570 | Crighton | Dec 2001 | B1 |
| 6330642 | Carteau | Dec 2001 | B1 |
| 6343324 | Hubis et al. | Jan 2002 | B1 |
| 6350199 | Williams et al. | Feb 2002 | B1 |
| RE37601 | Eastridge et al. | Mar 2002 | E |
| 6353878 | Dunham | Mar 2002 | B1 |
| 6356801 | Goodman et al. | Mar 2002 | B1 |
| 6363464 | Mangione | Mar 2002 | B1 |
| 6366986 | St. Pierre et al. | Apr 2002 | B1 |
| 6366988 | Skiba et al. | Apr 2002 | B1 |
| 6374336 | Peters et al. | Apr 2002 | B1 |
| 6374363 | Wu et al. | Apr 2002 | B1 |
| 6389432 | Pothapragada et al. | May 2002 | B1 |
| 6397308 | Ofek et al. | May 2002 | B1 |
| 6418478 | Ignatius et al. | Jul 2002 | B1 |
| 6421711 | Blumenau et al. | Jul 2002 | B1 |
| 6434681 | Amangau | Aug 2002 | B1 |
| 6473775 | Kusters et al. | Oct 2002 | B1 |
| 6487561 | Ofek et al. | Nov 2002 | B1 |
| 6487644 | Huebsch et al. | Nov 2002 | B1 |
| 6487645 | Clark et al. | Nov 2002 | B1 |
| 6502205 | Yanai et al. | Dec 2002 | B1 |
| 6519679 | Devireddy et al. | Feb 2003 | B2 |
| 6538669 | Lagueux, Jr. et al. | Mar 2003 | B1 |
| 6539462 | Mikkelsen et al. | Mar 2003 | B1 |
| 6542909 | Tamer et al. | Apr 2003 | B1 |
| 6542972 | Ignatius et al. | Apr 2003 | B2 |
| 6557089 | Reed et al. | Apr 2003 | B1 |
| 6564228 | O'Connor | May 2003 | B1 |
| 6581143 | Gagne et al. | Jun 2003 | B2 |
| 6594744 | Humlicek et al. | Jul 2003 | B1 |
| 6604118 | Kleinman et al. | Aug 2003 | B2 |
| 6604149 | Deo et al. | Aug 2003 | B1 |
| 6606690 | Padovano | Aug 2003 | B2 |
| 6615223 | Shih et al. | Sep 2003 | B1 |
| 6631477 | LeCrone et al. | Oct 2003 | B1 |
| 6631493 | Ottesen et al. | Oct 2003 | B2 |
| 6643671 | Milillo et al. | Nov 2003 | B2 |
| 6647396 | Parnell et al. | Nov 2003 | B2 |
| 6647473 | Golds et al. | Nov 2003 | B1 |
| 6651075 | Kusters et al. | Nov 2003 | B1 |
| 6658436 | Oshinsky et al. | Dec 2003 | B2 |
| 6658526 | Nguyen et al. | Dec 2003 | B2 |
| 6662198 | Satyanarayanan et al. | Dec 2003 | B2 |
| 6665815 | Goldstein et al. | Dec 2003 | B1 |
| 6681230 | Blott et al. | Jan 2004 | B1 |
| 6721767 | De Meno et al. | Apr 2004 | B2 |
| 6728733 | Tokui | Apr 2004 | B2 |
| 6728736 | Hostetter et al. | Apr 2004 | B2 |
| 6732124 | Koseki et al. | May 2004 | B1 |
| 6732125 | Autrey et al. | May 2004 | B1 |
| 6742092 | Huebsch et al. | May 2004 | B1 |
| 6748504 | Sawdon et al. | Jun 2004 | B2 |
| 6751635 | Chen et al. | Jun 2004 | B1 |
| 6757794 | Cabrera et al. | Jun 2004 | B2 |
| 6760723 | Oshinsky et al. | Jul 2004 | B2 |
| 6763351 | Subramaniam et al. | Jul 2004 | B1 |
| 6789161 | Blendermann et al. | Sep 2004 | B1 |
| 6792518 | Armangau et al. | Sep 2004 | B2 |
| 6799258 | Linde | Sep 2004 | B1 |
| 6836779 | Poulin | Dec 2004 | B2 |
| 6871163 | Hiller et al. | Mar 2005 | B2 |
| 6871271 | Ohran et al. | Mar 2005 | B2 |
| 6877016 | Hart et al. | Apr 2005 | B1 |
| 6880051 | Timpanaro-Perrotta | Apr 2005 | B2 |
| 6886020 | Zahavi et al. | Apr 2005 | B1 |
| 6892211 | Hitz et al. | May 2005 | B2 |
| 6898688 | Martin et al. | May 2005 | B2 |
| 6912482 | Kaiser | Jun 2005 | B2 |
| 6925512 | Louzoun et al. | Aug 2005 | B2 |
| 6938135 | Kekre et al. | Aug 2005 | B1 |
| 6938180 | Dysert et al. | Aug 2005 | B1 |
| 6941393 | Secatch | Sep 2005 | B2 |
| 6944796 | Joshi et al. | Sep 2005 | B2 |
| 6948038 | Berkowitz et al. | Sep 2005 | B2 |
| 6948089 | Fujibayashi | Sep 2005 | B2 |
| 6952705 | Knoblock et al. | Oct 2005 | B2 |
| 6952758 | Chron et al. | Oct 2005 | B2 |
| 6954834 | Slater et al. | Oct 2005 | B2 |
| 6957362 | Armangau | Oct 2005 | B2 |
| 6968351 | Butterworth | Nov 2005 | B2 |
| 6973553 | Archibald, Jr. et al. | Dec 2005 | B1 |
| 6978265 | Schumacher | Dec 2005 | B2 |
| 6981177 | Beattie | Dec 2005 | B2 |
| 6983351 | Gibble et al. | Jan 2006 | B2 |
| 6993539 | Federwisch et al. | Jan 2006 | B2 |
| 7003519 | Biettron et al. | Feb 2006 | B1 |
| 7003641 | Prahlad et al. | Feb 2006 | B2 |
| 7032131 | Lubbers et al. | Apr 2006 | B2 |
| 7035880 | Crescenti et al. | Apr 2006 | B1 |
| 7051050 | Chen et al. | May 2006 | B2 |
| 7062761 | Slavin et al. | Jun 2006 | B2 |
| 7065538 | Aronoff et al. | Jun 2006 | B2 |
| 7072915 | Kaczmarski et al. | Jul 2006 | B2 |
| 7082441 | Zahavi et al. | Jul 2006 | B1 |
| 7085787 | Beier et al. | Aug 2006 | B2 |
| 7085904 | Mizuno et al. | Aug 2006 | B2 |
| 7096315 | Takeda et al. | Aug 2006 | B2 |
| 7100089 | Phelps | Aug 2006 | B1 |
| 7103731 | Gibble et al. | Sep 2006 | B2 |
| 7103740 | Colgrove et al. | Sep 2006 | B1 |
| 7107298 | Prahlad et al. | Sep 2006 | B2 |
| 7107395 | Ofek et al. | Sep 2006 | B1 |
| 7111026 | Sato | Sep 2006 | B2 |
| 7120757 | Tsuge | Oct 2006 | B2 |
| 7130860 | Pachet | Oct 2006 | B2 |
| 7130970 | Devassy et al. | Oct 2006 | B2 |
| 7139887 | Colgrove et al. | Nov 2006 | B2 |
| 7139932 | Watanabe | Nov 2006 | B2 |
| 7155465 | Lee et al. | Dec 2006 | B2 |
| 7155633 | Tuma et al. | Dec 2006 | B2 |
| 7165079 | Chen et al. | Jan 2007 | B1 |
| 7174352 | Kleinman et al. | Feb 2007 | B2 |
| 7181477 | Saika et al. | Feb 2007 | B2 |
| 7188292 | Cordina et al. | Mar 2007 | B2 |
| 7191198 | Asano et al. | Mar 2007 | B2 |
| 7194454 | Hansen et al. | Mar 2007 | B2 |
| 7197665 | Goldstein et al. | Mar 2007 | B2 |
| 7203807 | Urabe et al. | Apr 2007 | B2 |
| 7209972 | Ignatius et al. | Apr 2007 | B1 |
| 7225204 | Manley et al. | May 2007 | B2 |
| 7225208 | Midgley et al. | May 2007 | B2 |
| 7225210 | Guthrie, II | May 2007 | B2 |
| 7228456 | Lecrone et al. | Jun 2007 | B2 |
| 7231544 | Tan et al. | Jun 2007 | B2 |
| 7234115 | Sprauve et al. | Jun 2007 | B1 |
| 7237075 | Welsh et al. | Jun 2007 | B2 |
| 7246140 | Therrien et al. | Jul 2007 | B2 |
| 7246207 | Kottomtharayil et al. | Jul 2007 | B2 |
| 7251713 | Zhang | Jul 2007 | B1 |
| 7257689 | Baird | Aug 2007 | B1 |
| 7269612 | Devarakonda et al. | Sep 2007 | B2 |
| 7269641 | Powers et al. | Sep 2007 | B2 |
| 7272606 | Borthakur et al. | Sep 2007 | B2 |
| 7275138 | Saika | Sep 2007 | B2 |
| 7275177 | Amangau et al. | Sep 2007 | B2 |
| 7275277 | Moskovich et al. | Oct 2007 | B2 |
| 7278142 | Bandhole et al. | Oct 2007 | B2 |
| 7287047 | Kavuri | Oct 2007 | B2 |
| 7293133 | Colgrove et al. | Nov 2007 | B1 |
| 7296125 | Ohran | Nov 2007 | B2 |
| 7315923 | Retnamma et al. | Jan 2008 | B2 |
| 7343356 | Prahlad et al. | Mar 2008 | B2 |
| 7343365 | Farnham et al. | Mar 2008 | B2 |
| 7343453 | Prahlad et al. | Mar 2008 | B2 |
| 7343459 | Prahlad et al. | Mar 2008 | B2 |
| 7346623 | Prahlad et al. | Mar 2008 | B2 |
| 7346751 | Prahlad et al. | Mar 2008 | B2 |
| 7356657 | Mikami | Apr 2008 | B2 |
| 7359917 | Winter et al. | Apr 2008 | B2 |
| 7370232 | Safford | May 2008 | B2 |
| 7373364 | Chapman | May 2008 | B1 |
| 7380072 | Kottomtharayil et al. | May 2008 | B2 |
| 7383538 | Bates et al. | Jun 2008 | B2 |
| 7389311 | Crescenti et al. | Jun 2008 | B1 |
| 7392360 | Aharoni et al. | Jun 2008 | B1 |
| 7395282 | Crescenti et al. | Jul 2008 | B1 |
| 7395387 | Berkowitz et al. | Jul 2008 | B2 |
| 7409509 | Devassy et al. | Aug 2008 | B2 |
| 7412583 | Burton et al. | Aug 2008 | B2 |
| 7415488 | Muth et al. | Aug 2008 | B1 |
| 7421554 | Colgrove et al. | Sep 2008 | B2 |
| 7430587 | Malone et al. | Sep 2008 | B2 |
| 7433301 | Akahane et al. | Oct 2008 | B2 |
| 7440982 | Lu et al. | Oct 2008 | B2 |
| 7454569 | Kavuri et al. | Nov 2008 | B2 |
| 7467167 | Patterson | Dec 2008 | B2 |
| 7467267 | Mayock | Dec 2008 | B1 |
| 7472238 | Gokhale | Dec 2008 | B1 |
| 7484054 | Kottomtharayil et al. | Jan 2009 | B2 |
| 7490207 | Amarendran | Feb 2009 | B2 |
| 7496589 | Jain et al. | Feb 2009 | B1 |
| 7496690 | Beverly et al. | Feb 2009 | B2 |
| 7500053 | Kavuri et al. | Mar 2009 | B1 |
| 7500150 | Sharma et al. | Mar 2009 | B2 |
| 7509316 | Greenblatt et al. | Mar 2009 | B2 |
| 7512601 | Cucerzan et al. | Mar 2009 | B2 |
| 7516088 | Johnson et al. | Apr 2009 | B2 |
| 7519726 | Palliyll et al. | Apr 2009 | B2 |
| 7523276 | Shankar | Apr 2009 | B1 |
| 7523483 | Dogan | Apr 2009 | B2 |
| 7529748 | Wen et al. | May 2009 | B2 |
| 7529782 | Prahlad et al. | May 2009 | B2 |
| 7529898 | Nguyen et al. | May 2009 | B2 |
| 7532340 | Koppich et al. | May 2009 | B2 |
| 7536291 | Vijayan Retnamma et al. | May 2009 | B1 |
| 7539707 | Prahlad et al. | May 2009 | B2 |
| 7543125 | Gokhale | Jun 2009 | B2 |
| 7546324 | Prahlad et al. | Jun 2009 | B2 |
| 7565572 | Yamasaki | Jul 2009 | B2 |
| 7567991 | Armangau et al. | Jul 2009 | B2 |
| 7568080 | Prahlad et al. | Jul 2009 | B2 |
| 7577806 | Rowan | Aug 2009 | B2 |
| 7581077 | Ignatius et al. | Aug 2009 | B2 |
| 7587563 | Teterin et al. | Sep 2009 | B1 |
| 7596586 | Gokhale et al. | Sep 2009 | B2 |
| 7606841 | Ranade | Oct 2009 | B1 |
| 7606844 | Kottomtharayil | Oct 2009 | B2 |
| 7606868 | Le et al. | Oct 2009 | B1 |
| 7610387 | Liskov et al. | Oct 2009 | B1 |
| 7613748 | Brockway et al. | Nov 2009 | B2 |
| 7613750 | Valiyaparambil et al. | Nov 2009 | B2 |
| 7617253 | Prahlad et al. | Nov 2009 | B2 |
| 7617262 | Prahlad et al. | Nov 2009 | B2 |
| 7617541 | Plotkin et al. | Nov 2009 | B2 |
| 7620666 | Root et al. | Nov 2009 | B1 |
| 7627598 | Burke | Dec 2009 | B1 |
| 7627617 | Kavuri et al. | Dec 2009 | B2 |
| 7636743 | Erofeev | Dec 2009 | B2 |
| 7651593 | Prahlad et al. | Jan 2010 | B2 |
| 7661028 | Erofeev | Feb 2010 | B2 |
| 7664771 | Kusters et al. | Feb 2010 | B2 |
| 7668798 | Scanlon et al. | Feb 2010 | B2 |
| 7669029 | Mishra et al. | Feb 2010 | B1 |
| 7672979 | Appellof et al. | Mar 2010 | B1 |
| 7685126 | Patel et al. | Mar 2010 | B2 |
| 7689467 | Belanger et al. | Mar 2010 | B1 |
| 7702533 | Barnard et al. | Apr 2010 | B2 |
| 7707184 | Zhang et al. | Apr 2010 | B1 |
| 7716171 | Kryger | May 2010 | B2 |
| 7734578 | Prahlad et al. | Jun 2010 | B2 |
| 7734669 | Kottomtharayil et al. | Jun 2010 | B2 |
| 7734715 | Hyakutake et al. | Jun 2010 | B2 |
| 7739235 | Rousseau et al. | Jun 2010 | B2 |
| 7747579 | Prahlad et al. | Jun 2010 | B2 |
| 7810067 | Kaelicke et al. | Oct 2010 | B2 |
| 7831553 | Prahlad et al. | Nov 2010 | B2 |
| 7831622 | Prahlad et al. | Nov 2010 | B2 |
| 7840533 | Prahlad et al. | Nov 2010 | B2 |
| 7840537 | Gokhale et al. | Nov 2010 | B2 |
| 7844577 | Becker et al. | Nov 2010 | B2 |
| 7870355 | Erofeev | Jan 2011 | B2 |
| 7930274 | Hwang et al. | Apr 2011 | B2 |
| 7930476 | Castelli et al. | Apr 2011 | B1 |
| 7962455 | Erofeev | Jun 2011 | B2 |
| 7962709 | Agrawal | Jun 2011 | B2 |
| 8024292 | Thompson et al. | Sep 2011 | B2 |
| 8024294 | Kottomtharayil | Sep 2011 | B2 |
| 8046334 | Hwang et al. | Oct 2011 | B2 |
| 8060695 | Lee et al. | Nov 2011 | B1 |
| 8121983 | Prahlad et al. | Feb 2012 | B2 |
| 8156086 | Lu et al. | Apr 2012 | B2 |
| 8166263 | Prahlad | Apr 2012 | B2 |
| 8170995 | Prahlad et al. | May 2012 | B2 |
| 8190565 | Prahlad et al. | May 2012 | B2 |
| 8204859 | Ngo | Jun 2012 | B2 |
| 8205049 | Armangau et al. | Jun 2012 | B1 |
| 8219524 | Gokhale | Jul 2012 | B2 |
| 8229954 | Kottomtharayil et al. | Jul 2012 | B2 |
| 8230195 | Amarendran et al. | Jul 2012 | B2 |
| 8245128 | Ahad et al. | Aug 2012 | B1 |
| 8271830 | Erofeev | Sep 2012 | B2 |
| 8285681 | Prahlad et al. | Oct 2012 | B2 |
| 8307177 | Prahlad et al. | Nov 2012 | B2 |
| 8326803 | Stringham | Dec 2012 | B1 |
| 8346727 | Chester et al. | Jan 2013 | B1 |
| 8352422 | Prahlad et al. | Jan 2013 | B2 |
| 8356013 | Fachan et al. | Jan 2013 | B2 |
| 8364652 | Vijayan et al. | Jan 2013 | B2 |
| 8463751 | Kottomtharayil | Jun 2013 | B2 |
| 8489656 | Erofeev | Jul 2013 | B2 |
| 8510271 | Tsaur et al. | Aug 2013 | B1 |
| 8521694 | Natanzon | Aug 2013 | B1 |
| 8578120 | Attarde et al. | Nov 2013 | B2 |
| 8600945 | Natanzon | Dec 2013 | B1 |
| 8645320 | Prahlad et al. | Feb 2014 | B2 |
| 8656123 | Lee | Feb 2014 | B2 |
| 8719226 | Jiang et al. | May 2014 | B1 |
| 8725694 | Kottomtharayil | May 2014 | B2 |
| 8789208 | Sundaram et al. | Jul 2014 | B1 |
| 8856079 | Subramanian et al. | Oct 2014 | B1 |
| 8868494 | Agrawal | Oct 2014 | B2 |
| 8886595 | Prahlad et al. | Nov 2014 | B2 |
| 8930497 | Holmes et al. | Jan 2015 | B1 |
| 8954446 | Vijayan Retnamma et al. | Feb 2015 | B2 |
| 9002785 | Prahlad et al. | Apr 2015 | B2 |
| 9015121 | Salamon et al. | Apr 2015 | B1 |
| 9020900 | Vijayan Retnamma et al. | Apr 2015 | B2 |
| 9098495 | Gokhale | Aug 2015 | B2 |
| 9128901 | Nickurak et al. | Sep 2015 | B1 |
| 9208160 | Prahlad et al. | Dec 2015 | B2 |
| 9218252 | Revur et al. | Dec 2015 | B1 |
| 9239687 | Vijayan et al. | Jan 2016 | B2 |
| 9239840 | Acharya | Jan 2016 | B1 |
| 9251198 | Mutalik et al. | Feb 2016 | B2 |
| 9298715 | Kumarasamy et al. | Mar 2016 | B2 |
| 9342537 | Kumarasamy et al. | May 2016 | B2 |
| 9405631 | Prahlad et al. | Aug 2016 | B2 |
| 9448731 | Nallathambi et al. | Sep 2016 | B2 |
| 9471578 | Nallathambi et al. | Oct 2016 | B2 |
| 9495251 | Kottomtharayil et al. | Nov 2016 | B2 |
| 9535907 | Stringham | Jan 2017 | B1 |
| 9619172 | Natanzon et al. | Apr 2017 | B1 |
| 9619341 | Prahlad et al. | Apr 2017 | B2 |
| 9632874 | Pawar et al. | Apr 2017 | B2 |
| 9639426 | Pawar et al. | May 2017 | B2 |
| 9648105 | Nallathambi et al. | May 2017 | B2 |
| 9753812 | Pawar et al. | Sep 2017 | B2 |
| 9774672 | Nallathambi et al. | Sep 2017 | B2 |
| 9852026 | Mitkar et al. | Dec 2017 | B2 |
| 9886346 | Kumarasamy et al. | Feb 2018 | B2 |
| 9892123 | Kottomtharayil et al. | Feb 2018 | B2 |
| 9898371 | Kumarasamy et al. | Feb 2018 | B2 |
| 9921920 | Nallathambi et al. | Mar 2018 | B2 |
| 9928002 | Kumarasamy et al. | Mar 2018 | B2 |
| 9928146 | Nallathambi et al. | Mar 2018 | B2 |
| 9965306 | Natanzon et al. | May 2018 | B1 |
| 9996428 | Nallathambi et al. | Jun 2018 | B2 |
| 10042716 | Nallathambi et al. | Aug 2018 | B2 |
| 10044803 | Nallathambi et al. | Aug 2018 | B2 |
| 10223365 | Kottomtharayil et al. | Mar 2019 | B2 |
| 10228962 | Dornemann et al. | Mar 2019 | B2 |
| 10250679 | Natanzon et al. | Apr 2019 | B1 |
| 10419536 | Nallathambi et al. | Sep 2019 | B2 |
| 10503753 | Mitkar et al. | Dec 2019 | B2 |
| 10521308 | Nallathambi et al. | Dec 2019 | B2 |
| 11238064 | Mitkar et al. | Feb 2022 | B2 |
| 20010027457 | Yee | Oct 2001 | A1 |
| 20010029512 | Oshinsky et al. | Oct 2001 | A1 |
| 20010029517 | De Meno et al. | Oct 2001 | A1 |
| 20010032172 | Moulinet et al. | Oct 2001 | A1 |
| 20010042222 | Kedem et al. | Nov 2001 | A1 |
| 20010044807 | Kleiman et al. | Nov 2001 | A1 |
| 20010044834 | Bradshaw et al. | Nov 2001 | A1 |
| 20020002557 | Straube et al. | Jan 2002 | A1 |
| 20020004883 | Nguyen et al. | Jan 2002 | A1 |
| 20020023051 | Kunzle et al. | Feb 2002 | A1 |
| 20020040376 | Yamanaka et al. | Apr 2002 | A1 |
| 20020042869 | Tate et al. | Apr 2002 | A1 |
| 20020049626 | Mathias et al. | Apr 2002 | A1 |
| 20020049718 | Kleiman et al. | Apr 2002 | A1 |
| 20020049738 | Epstein | Apr 2002 | A1 |
| 20020049778 | Bell et al. | Apr 2002 | A1 |
| 20020069324 | Gerasimov et al. | Jun 2002 | A1 |
| 20020073070 | Morita et al. | Jun 2002 | A1 |
| 20020083055 | Pachet et al. | Jun 2002 | A1 |
| 20020103848 | Giacomini et al. | Aug 2002 | A1 |
| 20020107877 | Whiting et al. | Aug 2002 | A1 |
| 20020112134 | Ohran et al. | Aug 2002 | A1 |
| 20020133511 | Hostetter | Sep 2002 | A1 |
| 20020133512 | Milillo et al. | Sep 2002 | A1 |
| 20020143903 | Uratani et al. | Oct 2002 | A1 |
| 20020152381 | Kuriya et al. | Oct 2002 | A1 |
| 20020161753 | Inaba et al. | Oct 2002 | A1 |
| 20020174107 | Poulin | Nov 2002 | A1 |
| 20020174416 | Bates et al. | Nov 2002 | A1 |
| 20030018657 | Monday | Jan 2003 | A1 |
| 20030028736 | Berkowitz et al. | Feb 2003 | A1 |
| 20030061491 | Jaskiewicz et al. | Mar 2003 | A1 |
| 20030097296 | Putt | May 2003 | A1 |
| 20030131278 | Fujibayashi | Jul 2003 | A1 |
| 20030135783 | Martin et al. | Jul 2003 | A1 |
| 20030140070 | Kaczmarski et al. | Jul 2003 | A1 |
| 20030158834 | Sawdon et al. | Aug 2003 | A1 |
| 20030167380 | Green et al. | Sep 2003 | A1 |
| 20030177149 | Coombs | Sep 2003 | A1 |
| 20030177321 | Watanabe | Sep 2003 | A1 |
| 20030187847 | Lubbers et al. | Oct 2003 | A1 |
| 20030225800 | Kavuri | Dec 2003 | A1 |
| 20040002934 | Taulbee et al. | Jan 2004 | A1 |
| 20040010487 | Prahlad et al. | Jan 2004 | A1 |
| 20040015468 | Beier et al. | Jan 2004 | A1 |
| 20040039679 | Norton et al. | Feb 2004 | A1 |
| 20040098425 | Wiss et al. | May 2004 | A1 |
| 20040107199 | Dairymple, III et al. | Jun 2004 | A1 |
| 20040117572 | Welsh et al. | Jun 2004 | A1 |
| 20040139128 | Becker et al. | Jul 2004 | A1 |
| 20040143642 | Beckmann et al. | Jul 2004 | A1 |
| 20040148376 | Rangan et al. | Jul 2004 | A1 |
| 20040167972 | Demmon | Aug 2004 | A1 |
| 20040193953 | Callahan et al. | Sep 2004 | A1 |
| 20040205206 | Naik et al. | Oct 2004 | A1 |
| 20040230829 | Dogan et al. | Nov 2004 | A1 |
| 20040236958 | Teicher et al. | Nov 2004 | A1 |
| 20040249883 | Srinivasan et al. | Dec 2004 | A1 |
| 20040250033 | Prahlad et al. | Dec 2004 | A1 |
| 20040254919 | Giuseppini | Dec 2004 | A1 |
| 20040260678 | Verbowski et al. | Dec 2004 | A1 |
| 20040267835 | Zwilling et al. | Dec 2004 | A1 |
| 20040267836 | Amangau et al. | Dec 2004 | A1 |
| 20050005070 | Lam | Jan 2005 | A1 |
| 20050027748 | Kisley | Feb 2005 | A1 |
| 20050027892 | McCabe et al. | Feb 2005 | A1 |
| 20050033800 | Kavuri et al. | Feb 2005 | A1 |
| 20050033878 | Pangal et al. | Feb 2005 | A1 |
| 20050060598 | Klotz et al. | Mar 2005 | A1 |
| 20050066118 | Perry et al. | Mar 2005 | A1 |
| 20050066222 | Rowan et al. | Mar 2005 | A1 |
| 20050066225 | Rowan et al. | Mar 2005 | A1 |
| 20050080928 | Beverly et al. | Apr 2005 | A1 |
| 20050086241 | Ram et al. | Apr 2005 | A1 |
| 20050108292 | Burton et al. | May 2005 | A1 |
| 20050138306 | Panchbudhe et al. | Jun 2005 | A1 |
| 20050144202 | Chen | Jun 2005 | A1 |
| 20050187982 | Sato | Aug 2005 | A1 |
| 20050188254 | Urabe et al. | Aug 2005 | A1 |
| 20050198083 | Saika et al. | Sep 2005 | A1 |
| 20050246376 | Lu et al. | Nov 2005 | A1 |
| 20050246510 | Retnamma et al. | Nov 2005 | A1 |
| 20060005048 | Osaki et al. | Jan 2006 | A1 |
| 20060010154 | Prahlad et al. | Jan 2006 | A1 |
| 20060010227 | Atluri | Jan 2006 | A1 |
| 20060020616 | Hardy et al. | Jan 2006 | A1 |
| 20060034454 | Damgaard et al. | Feb 2006 | A1 |
| 20060047805 | Byrd et al. | Mar 2006 | A1 |
| 20060120401 | Harada et al. | Jun 2006 | A1 |
| 20060129537 | Torii et al. | Jun 2006 | A1 |
| 20060136685 | Griv et al. | Jun 2006 | A1 |
| 20060136771 | Watanabe | Jun 2006 | A1 |
| 20060224846 | Amarendran et al. | Oct 2006 | A1 |
| 20060242371 | Shono et al. | Oct 2006 | A1 |
| 20060242489 | Brockway et al. | Oct 2006 | A1 |
| 20070005915 | Thompson et al. | Jan 2007 | A1 |
| 20070006018 | Thompson et al. | Jan 2007 | A1 |
| 20070043956 | El Far et al. | Feb 2007 | A1 |
| 20070067263 | Husain et al. | Mar 2007 | A1 |
| 20070094467 | Yamasaki | Apr 2007 | A1 |
| 20070100867 | Celik et al. | May 2007 | A1 |
| 20070112897 | Asano et al. | May 2007 | A1 |
| 20070113006 | Elliott et al. | May 2007 | A1 |
| 20070115738 | Emaru | May 2007 | A1 |
| 20070124347 | Vivian et al. | May 2007 | A1 |
| 20070124348 | Claborn et al. | May 2007 | A1 |
| 20070143371 | Kottomtharayil | Jun 2007 | A1 |
| 20070143756 | Gokhale | Jun 2007 | A1 |
| 20070174569 | Schnapp et al. | Jul 2007 | A1 |
| 20070179990 | Zimran et al. | Aug 2007 | A1 |
| 20070183224 | Erofeev | Aug 2007 | A1 |
| 20070185937 | Prahlad et al. | Aug 2007 | A1 |
| 20070185938 | Prahlad et al. | Aug 2007 | A1 |
| 20070185939 | Prahlad et al. | Aug 2007 | A1 |
| 20070185940 | Prahlad et al. | Aug 2007 | A1 |
| 20070186068 | Agrawal | Aug 2007 | A1 |
| 20070198602 | Ngo et al. | Aug 2007 | A1 |
| 20070226438 | Erofeev | Sep 2007 | A1 |
| 20070244571 | Wilson et al. | Oct 2007 | A1 |
| 20070283111 | Berkowitz et al. | Dec 2007 | A1 |
| 20070288536 | Sen et al. | Dec 2007 | A1 |
| 20070288711 | Chen et al. | Dec 2007 | A1 |
| 20080016293 | Saika | Jan 2008 | A1 |
| 20080028009 | Ngo | Jan 2008 | A1 |
| 20080059515 | Fulton | Mar 2008 | A1 |
| 20080103916 | Camarador et al. | May 2008 | A1 |
| 20080183775 | Prahlad et al. | Jul 2008 | A1 |
| 20080209146 | Imazu et al. | Aug 2008 | A1 |
| 20080229037 | Bunte et al. | Sep 2008 | A1 |
| 20080243914 | Prahlad et al. | Oct 2008 | A1 |
| 20080243953 | Wu et al. | Oct 2008 | A1 |
| 20080243957 | Prahlad et al. | Oct 2008 | A1 |
| 20080243958 | Prahlad et al. | Oct 2008 | A1 |
| 20080244177 | Crescenti et al. | Oct 2008 | A1 |
| 20080244205 | Amano et al. | Oct 2008 | A1 |
| 20080306954 | Hornqvist | Dec 2008 | A1 |
| 20090044046 | Yamasaki | Feb 2009 | A1 |
| 20090070330 | Hwang et al. | Mar 2009 | A1 |
| 20090150462 | McClanahan et al. | Jun 2009 | A1 |
| 20090182963 | Prahlad et al. | Jul 2009 | A1 |
| 20090187944 | White et al. | Jul 2009 | A1 |
| 20090216816 | Basler et al. | Aug 2009 | A1 |
| 20090319534 | Gokhale | Dec 2009 | A1 |
| 20090319582 | Simek et al. | Dec 2009 | A1 |
| 20090319585 | Gokhale | Dec 2009 | A1 |
| 20100005259 | Prahlad | Jan 2010 | A1 |
| 20100011178 | Feathergill et al. | Jan 2010 | A1 |
| 20100036931 | Certain et al. | Feb 2010 | A1 |
| 20100049753 | Prahlad et al. | Feb 2010 | A1 |
| 20100070726 | Ngo et al. | Mar 2010 | A1 |
| 20100094808 | Erofeev | Apr 2010 | A1 |
| 20100100529 | Erofeev | Apr 2010 | A1 |
| 20100122053 | Prahlad et al. | May 2010 | A1 |
| 20100131461 | Prahlad et al. | May 2010 | A1 |
| 20100145909 | Ngo | Jun 2010 | A1 |
| 20100153338 | Ngo et al. | Jun 2010 | A1 |
| 20100179941 | Agrawal et al. | Jul 2010 | A1 |
| 20100205150 | Prahlad et al. | Aug 2010 | A1 |
| 20100228919 | Stabrawa et al. | Sep 2010 | A1 |
| 20100250735 | Andersen | Sep 2010 | A1 |
| 20100257142 | Murphy et al. | Oct 2010 | A1 |
| 20100287141 | Prahlad et al. | Nov 2010 | A1 |
| 20100332990 | Prahlad et al. | Dec 2010 | A1 |
| 20110047195 | Le et al. | Feb 2011 | A1 |
| 20110047340 | Olson et al. | Feb 2011 | A1 |
| 20110161299 | Prahlad et al. | Jun 2011 | A1 |
| 20110161300 | Hwang et al. | Jun 2011 | A1 |
| 20110196957 | Ayachitula et al. | Aug 2011 | A1 |
| 20110246416 | Prahlad et al. | Oct 2011 | A1 |
| 20110246429 | Prahlad et al. | Oct 2011 | A1 |
| 20110276594 | Chong et al. | Nov 2011 | A1 |
| 20110295804 | Erofeev | Dec 2011 | A1 |
| 20110295806 | Erofeev | Dec 2011 | A1 |
| 20120079221 | Sivasubramanian et al. | Mar 2012 | A1 |
| 20120084523 | Littlefield et al. | Apr 2012 | A1 |
| 20120124012 | Provenzano et al. | May 2012 | A1 |
| 20120131684 | Lynch | May 2012 | A1 |
| 20120150818 | Vijayan Retnamma et al. | Jun 2012 | A1 |
| 20120150826 | Vijayan Retnamma et al. | Jun 2012 | A1 |
| 20120179886 | Prahlad et al. | Jul 2012 | A1 |
| 20120317074 | Ngo | Dec 2012 | A1 |
| 20130006926 | Erofeev | Jan 2013 | A1 |
| 20130006938 | Prahlad et al. | Jan 2013 | A1 |
| 20130007183 | Sorenson et al. | Jan 2013 | A1 |
| 20130054910 | Vaghani et al. | Feb 2013 | A1 |
| 20130103650 | Natanzon et al. | Apr 2013 | A1 |
| 20130144881 | Sitsky et al. | Jun 2013 | A1 |
| 20130198311 | Tamir et al. | Aug 2013 | A1 |
| 20130218840 | Smith et al. | Aug 2013 | A1 |
| 20130262800 | Goodman et al. | Oct 2013 | A1 |
| 20130282953 | Orme et al. | Oct 2013 | A1 |
| 20140201170 | Vijayan et al. | Jul 2014 | A1 |
| 20140281317 | Garman et al. | Sep 2014 | A1 |
| 20150212894 | Pawar et al. | Jul 2015 | A1 |
| 20160350391 | Vijayan et al. | Dec 2016 | A1 |
| 20170168903 | Dornemann et al. | Jun 2017 | A1 |
| 20170185488 | Kumarasamy et al. | Jun 2017 | A1 |
| 20170192860 | Vijayan et al. | Jul 2017 | A1 |
| 20170192861 | Vijayan et al. | Jul 2017 | A1 |
| 20170192866 | Vijayan et al. | Jul 2017 | A1 |
| 20170192867 | Vijayan et al. | Jul 2017 | A1 |
| 20170192868 | Vijayan et al. | Jul 2017 | A1 |
| 20170193003 | Vijayan et al. | Jul 2017 | A1 |
| 20170235647 | Kilaru et al. | Aug 2017 | A1 |
| 20170242871 | Kilaru et al. | Aug 2017 | A1 |
| 20180373602 | Nallathambi et al. | Dec 2018 | A1 |
| 20220215042 | Mitkar et al. | Jul 2022 | A1 |
| Number | Date | Country |
|---|---|---|
| 2006331932 | Dec 2006 | AU |
| 2632935 | Dec 2006 | CA |
| 0259912 | Mar 1988 | EP |
| 0405926 | Jan 1991 | EP |
| 0467546 | Jan 1992 | EP |
| 0774715 | May 1997 | EP |
| 0809184 | Nov 1997 | EP |
| 0862304 | Sep 1998 | EP |
| 0899662 | Mar 1999 | EP |
| 0981090 | Feb 2000 | EP |
| 1174795 | Jan 2002 | EP |
| 1349089 | Jan 2003 | EP |
| 1349088 | Oct 2003 | EP |
| 1579331 | Sep 2005 | EP |
| 1974296 | Oct 2008 | EP |
| 2256952 | Dec 1992 | GB |
| 2411030 | Aug 2005 | GB |
| 05189281 | Jul 1993 | JP |
| 06274605 | Sep 1994 | JP |
| 09016463 | Jan 1997 | JP |
| 11259348 | Sep 1999 | JP |
| 2000-347811 | Dec 2000 | JP |
| WO 1993003549 | Feb 1993 | WO |
| WO 1995013580 | May 1995 | WO |
| WO 199839707 | Sep 1998 | WO |
| WO 1999012098 | Mar 1999 | WO |
| WO 1999014692 | Mar 1999 | WO |
| WO 2002095632 | Nov 2002 | WO |
| WO 2003028183 | Apr 2003 | WO |
| WO 2004034197 | Apr 2004 | WO |
| WO 2005055093 | Jun 2005 | WO |
| WO 2005086032 | Sep 2005 | WO |
| WO 2007053314 | May 2007 | WO |
| WO 2007075587 | Jul 2007 | WO |
| Entry |
|---|
| U.S. Appl. No. 15/981,712, dated May 16, 2018, Gutta et al. |
| Armstead et al., “Implementation of a Campus-Wide Distributed Mass Storage Service: The Dream vs. Reality,” IEEE, 1995, pp. 190-199. |
| Arneson, “Development of Omniserver; Mass Storage Systems,” Control Data Corporation, 1990, pp. 88-93. |
| Arneson, “Mass Storage Archiving in Network Environments” IEEE, 1998, pp. 45-50. |
| Ashton, et al., “Two Decades of policy-based storage management for the IBM mainframe computer”, www.research.ibm.com, 19 pages, published Apr. 10, 2003, printed Jan. 3, 2009., www.research.ibm.com, Apr. 10, 2003, pp. 19. |
| Cabrera, et al. “ADSM: A Multi-Platform, Scalable, Back-up and Archive Mass Storage System,” Digest of Papers, Compcon '95, Proceedings of the 40th IEEE Computer Society International Conference, Mar. 5, 1995-Mar. 9, 1995, 9 pages, San Francisco, CA. |
| “Easy snapshot backup and recovery is here.” Copyright date listed 2014. 6 pages. |
| Eitel, “Backup and Storage Management in Distributed Heterogeneous Environments,” IEEE, 1994, pp. 124-126. |
| Gait, “The Optical File Cabinet: A Random-Access File system for Write-Once Optical Disks,” IEEE Computer, vol. 21, No. 6, pp. 11-22 (1988). |
| Gray (#1 of 2, pp. 646-655), Jim; Reuter, Andreas, Transaction Processing: Concepts and Techniques, Morgan Kaufmann Publisher, USA 1994, 1994, 11 pages. |
| Gray (#2 of 2, pp. 604-609), Jim; Reuter Andreas, Transaction Processing Concepts and Techniques, Morgan Kaufmann Publisher, USA 1994, pp. 604-609. |
| Harrington, Lisa H., “The RFP Process: How To Hire a Third Party”, Transportation & Distribution, Sep. 1988, vol. 39, Issue 9, in 5 pages. |
| http://en.wikipedia.org/wiki/Naive_Bayes_classifier, printed on Jun. 1, 2010, in 7 pages. |
| IntelliSnap—Advanced Snapshots—NAS iDataAgent. <http://documentation.commvault.com/commvault/v10/article?p=products/nas ndmp/snap . . . > Retrieved Oct. 24, 2014. 14 pages. |
| Jander, “Launching Storage-Area Net,” Data Communications, US, McGraw Hill, NY, vol. 27, No. 4(Mar. 21, 1998), pp. 64-72. |
| Kashyap, et al., “Professional Services Automation: A knowledge Management approach using LSI and Domain specific Ontologies”, FLAIRS-01 Proceedings, 2001, pp. 300-302. |
| Li et al., “iROW: An Efficient Live Snapshot System for Virtual Machine Disk”, ICPADS 2012, Singapore, Dec. 17-19, 2012, pp. 376-383. |
| Lyon J., Design considerations in replicated database systems for disaster protection, COMPCON 1988, Feb. 29, 1988, pp. 428-430. |
| Microsoft Corporation, “Microsoft Exchange Server: Best Practices for Exchange Database Management,” 1998, 26 pages. |
| Microsoft, “How Volume Shadow Copy Service Works”, date listed Mar. 28, 2003. |
| Oltean, “VSS writers and inconsistent shadow copies”, date listed Sep. 1, 2005, http://blogs.msdn.com/b/adioltean/archive/2005/ 08/31/ 458907.aspx., 2 pages. |
| Rosenblum et al., “The Design and Implementation of a Log-Structure File System,” Operating Systems Review SIGOPS, vol. 25, No. 5, New York, US, pp. 1-14 (May 1991). |
| Simpana Intellisnap Snapshot Management Technology: Exponentially Accelerate Data Protection and Recovery. Copyright date listed 1999-2013. 2 pages. |
| Simpana Intellisnap Technology—Making Snaps Work. Copyright date listed 2014. 2 pages. |
| The Oracle8 Replication Manual, Part No. A58245-01; Chapters 1-2; Dec. 1, 1997; obtained from website: http://download-west.oracle.com/docs/cd/A64702_01/doc/server.805/a58245/toc.htm on May 20, 2009, 58 pages. |
| Veritas Software Corporation, “Veritas Volume Manager 3.2, Administrator's Guide,” Aug. 2001, 360 pages. |
| Waldspurger, Carl, et al., I/O Virtualization, Communications of the ACM, vol. 55, No. 1, Jan. 2012, pp. 66-72. |
| Wiesmann M, Database replication techniques: a three parameter classification, Oct. 16, 2000, pp. 206-215. |
| Examiner's Report for Australian Application No. 2003279847, dated Dec. 9, 2008, 4 pages. |
| European Examination Report; Application No. 06848901.2, dated Apr. 1, 2009, pp. 7. |
| Second Examination Report in EU Appl. No. 06 848 901.2-2201 dated Dec. 3, 2010. |
| Examiner's First Report; Application No. 2006331932 dated May 11, 2011 in 2 pages. |
| Canadian Office Action dated Dec. 10, 2009, Application No. CA2544063, 3 pages. |
| Canadian Office Action dated Dec. 29, 2010, Application No. CA2546304, 4 pages. |
| First Office Action in Indian Application No. 3359/DELNP/2006 dated Feb. 11, 2013, 2 pages. |
| Final Office Action for Japanese Application No. 2003531581, dated Mar. 24, 2009, 6 pages. |
| First Office Action for Japanese Application No. 2003531581, dated Jul. 8, 2008, 8 pages. |
| International Preliminary Report on Patentability, PCT Application No. PCT/US2009/066880, dated Jun. 23, 2011, in 9 pages. |
| International Search Report and Written Opinion dated Nov. 13, 2009, PCT/US2007/081681, 8 pages. |
| International Search Report and Written Opinion issued in PCT Application No. PCT/US2011/030396, dated Jul. 18, 2011, in 20 pages. |
| International Search Report and Written Opinion issued in PCT Application No. PCT/US2011/38436, dated Sep. 21, 2011, in 18 pages. |
| International Search Report from International Application No. PCT/US2006/048273, dated May 15, 2007, 13 pages. |
| Number | Date | Country | |
|---|---|---|---|
| 20220215042 A1 | Jul 2022 | US |
| Number | Date | Country | |
|---|---|---|---|
| 62306545 | Mar 2016 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 16660540 | Oct 2019 | US |
| Child | 17644769 | US | |
| Parent | 15454917 | Mar 2017 | US |
| Child | 16660540 | US |
