Abstract:
In general, a data synchronization management system is disclosed in which files (and/or other data) are synchronized among two or more client computing devices in connection with a backup of those files. Synchronization polices specify files to be synchronized based on selected criteria including file data, metadata, and location information. In general, files are initially copied from a primary client computing device to secondary storage. Thereafter, files to be synchronized are identified from the secondary storage, and copied to other client computing devices. Additionally, synchronized files may be viewed and accessed through a cloud and/or remote file access interface.
Abstract:
A resource allocation system begins with an ordered plan for matching requests to resources that is sorted by priority. The resource allocation system optimizes the plan by determining those requests in the plan that will fail if performed. The resource allocation system removes or defers the determined requests. In addition, when a request that is performed fails, the resource allocation system may remove requests that require similar resources from the plan. Moreover, when resources are released by a request, the resource allocation system may place the resources in a temporary holding area until the resource allocation returns to the top of the ordered plan so that lower priority requests that are lower in the plan do not take resources that are needed by waiting higher priority requests higher in the plan.
Abstract:
A stand-alone, network accessible data storage device, such as a filer or NAS device, is capable of transferring data objects based on portions of the data objects. The device transfers portions of files, folders, and other data objects from a data store within the device to external secondary storage based on certain criteria, such as time-based criteria, age-based criteria, and so on. A portion may be one or more blocks of a data object, or one or more chunks of a data object, or other segments that combine to form or store a data object. For example, the device identifies one or more blocks of a data object that satisfy a certain criteria, and migrates the identified blocks to external storage, thereby freeing up storage space within the device. The device may determine that a certain number of blocks of a file have not been modified or called by a file system in a certain time period, and migrate these blocks to secondary storage.
Abstract:
According to certain aspects, systems and methods are provided for automating recovery of a networked data storage environment. For instance, a system can generate a data recovery package configured to automatically carry out a process for recovering a data storage environment and/or associated data. The content of the particular workflow depends on the data storage environment, and can be defined by a user.
Abstract:
A system for archiving data objects using secondary copies is disclosed. The system creates one or more secondary copies of primary copy data that contains multiple data objects. The system maintains a first data structure that tracks the data objects for which the system has created secondary copies and the locations of the secondary copies. To archive data objects in the primary copy data, the system identifies data objects to be archived, verifies that previously-created secondary copies of the identified data objects exist, and replaces the identified data objects with stubs. The system maintains a second data structure that both tracks the stubs and refers to the first data structure, thereby creating an association between the stubs and the locations of the secondary copies.
Abstract:
A method and system for creating an index of content without interfering with the source of the content includes an offline content indexing system that creates an index of content from an offline copy of data. The system may associate additional properties or tags with data that are not part of traditional indexing of content, such as the time the content was last available or user attributes associated with the content. Users can search the created index to locate content that is no longer available or based on the associate attributes.
Abstract:
A resource allocation system begins with an ordered plan for matching requests to resources that is sorted by priority. The resource allocation system optimizes the plan by determining those requests in the plan that will fail if performed. The resource allocation system removes or defers the determined requests. In addition, when a request that is performed fails, the resource allocation system may remove requests that require similar resources from the plan. Moreover, when resources are released by a request, the resource allocation system may place the resources in a temporary holding area until the resource allocation returns to the top of the ordered plan so that lower priority requests that are lower in the plan do not take resources that are needed by waiting higher priority requests higher in the plan.
Abstract:
Various systems and methods may be used for performing data storage operations, including content-indexing, containerized deduplication, and policy-driven storage, within a cloud environment. The systems support a variety of clients and cloud storage sites that may connect to the system in a cloud environment that requires data transfer over wide area networks, such as the Internet, which may have appreciable latency and/or packet loss, using various network protocols, including HTTP and FTP. Methods for content indexing data stored within a cloud environment may facilitate later searching, including collaborative searching. Methods for performing containerized deduplication may reduce the strain on a system namespace, effectuate cost savings, etc. Methods may identify suitable storage locations, including suitable cloud storage sites, for data files subject to a storage policy. Further, the systems and methods may be used for providing a cloud gateway and a scalable data object store within a cloud environment.
Abstract:
Systems and methods for providing automated problem reporting in elements used in conjunction with computer networks are disclosed. The system comprises a plurality of elements that perform data migration operations and a reporting manager or monitor agent which monitors the elements and data migration operations. Upon detection of hardware or software problems, the reporting manager or monitor agent automatically communicates with elements affected by the problem to gather selected hardware, software, and configuration information, analyzes the information to determine causes of the problem, and issues a problem report containing at least a portion of the selected information. The problem report is communicated to a remote monitor that does not possess access privileges to the elements, allowing automated, remote monitoring of the elements without compromising security of the computer network or elements.
Abstract:
An exemplary entity difference management system manages one or more properties of entities that operate within an organization's information management system(s) and/or information management cell(s), such that it enforces conformance with a given model entity by ensuring that one or more non-conforming entities are reconfigured to operate in accordance with one or more preferred operational properties of the model entity. The entity difference management system may manage across a plurality of information management systems, regardless of which information management system comprises the model entity. The following entities may be managed: information management cell(s) and/or associated storage manager(s), information management policies; secondary storage devices; client computing devices; sub-clients; data agents; and/or other elements of an information management system, without limitation. The illustrative system comprises an entity difference manager that interacts functionally with one or more storage managers within the information management cell(s).