Abstract:
Differential health-check systems and accompanying methods provide health-checking and reporting of one or more information management systems in reference to a first time period before and a second time period after a triggering event. A triggering event may be an upgrade of at least part of the information management system, or a restore operation completed in the information management system for example following a disaster, or any number of other events, etc. The health-checking and reporting may comprise a comparison of one or more performance metrics of one or more components and/or operations of the information management system during the first and second time periods.
Abstract:
In certain embodiments, a tiered storage system is disclosed that provides for failover protection during data backup operations. The system can provide for an index, or catalog, for identifying and enabling restoration of backup data located on a storage device. The system further maintains a set of transaction logs generated by media agent modules that identify metadata with respect to individual data chunks of a backup file on the storage device. A copy of the catalog and transaction logs can be stored at a location accessible by each of the media agent modules. In this manner, in case of a failure of one media agent module during backup, the transaction logs and existing catalog can be used by a second media agent module to resume the backup operation without requiring a restart of the backup process.
Abstract:
A distributed indexing system spreads out the load on an index of stored data in a data storage system. Rather than maintain a single index, the distributed indexing system maintains an index in each media agent of a federated data storage system and a master index that points to the index in each media agent. In some embodiments, the distributed indexing system includes an index server (or group of servers) that handles indexing requests and forwards the requests to the appropriate distributed systems. Thus, the distributed indexing system, among other things, increases the availability and fault tolerance of a data storage index.
Abstract:
Described in detail herein are systems and methods for managing connections in a data storage system. For example, the systems and methods may be used to manage connections between two or more computing devices for purposes of performing storage operations on the data of one of the computing devices. The data storage system includes at least two computing devices. A first computing device includes an unauthorized connection data structure and a connection manager component. The connection manager component receives a connection request from a second computing device. If the second computing device is not identified on the unauthorized connection data structure, the connection manager component can request that an authentication manager authenticate the second computing device and/or determine whether the second computing device is properly authorized. If so, the connection manager component can allow the second computing device to connect to the first computing device.
Abstract:
A system and method for determining media to be exported out of a media library is described. In some examples, the system determines a media component to be exported, determines the media component is in the media library for a specific process, and exports the media component after the process is completed.
Abstract:
A system and method for transferring data in a library storage system. The library storage system comprises a management server including a storage policy. A media agent is connected to the management server. A plurality of storage media and a data source are connected to the media agent. The data source is divided into at least a first and a second portion of data. The portions of data are transferred from the data source to a first and second primary storage medium using a first and a second data stream respectively. The media agent then causes the first and second portion of data to be transferred from the first and second storage medium to a third auxiliary storage medium using a third combined data stream. Auxiliary copying is performed in chunks and multiple streams are copied in parallel.
Abstract:
In accordance with some aspects of the present invention, systems and methods are provided for dynamically and/or automatically selecting and/or modifying data path definitions that are used in performing storage operations on data. Alternate data paths may be specified or selected that use some or all resources that communicate with a particular destination to improve system reliability and performance. The system may also dynamically monitor and choose data path definitions to optimize system performance, conserve storage media and promote balanced load distribution.
Abstract:
A system and method for choosing a stream to transfer data is described. In some cases, the system reviews running data storage operations and chooses a data stream based on the review. Additionally, the system pre-allocates disk space for data to be transferred.
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:
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.