Abstract:
Disclosed herein are systems and methods for managing information management operations. The system may be configured to employ a work flow queue to reduce network traffic and manage server processing resources. The system may also be configured to forecast or estimate information management operations based on estimations of throughput between computing devices scheduled to execute one or more jobs. The system may also be configured to escalate or automatically reassign notification of system alerts based on the availability of system alert recipients. Various other embodiments are also disclosed herein.
Abstract:
A data storage system can scan one or more information stores of primary storage and analyze the metadata of files stored in the one or more information stores of primary storage to identify multiple, possibly relevant, secondary copy operations that can be performed on the files. The storage system can also identify primary storage usage information of each file during the scan and use that information to generate reports regarding the usage of the primary storage.
Abstract:
A system and method to perform data management operations in a data management system assigns the data management request to one or more available data management resources. If the data management request fails, at least one data management resource at least partially responsible for the failure is determined, as is a category associated with the one data management resource at least partially responsible for the failure. Other data management requests are identified in a list of data management requests that request data management resources having the same category and the list of data management requests is updated to indicate that the data management system should not perform the other identified data management requests.
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 system and method for communicating, browsing, verifying and routing data in storage operation systems using network attached storage devices is provided. In some embodiments, the system may include a management module and a media management component connected to the management server, which interoperate with network attached storage devices to provide the communicating, browsing, verifying and routing functions.
Abstract:
Data storage operations, including content-indexing, containerized deduplication, and policy-driven storage, are performed 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 are disclosed for content indexing data stored within a cloud environment to facilitate later searching, including collaborative searching. Methods are also disclosed for performing containerized deduplication to reduce the strain on a system namespace, effectuate cost savings, etc. Methods are disclosed for identifying suitable storage locations, including suitable cloud storage sites, for data files subject to a storage policy. Further, systems and methods for providing a cloud gateway and a scalable data object store within a cloud environment are disclosed, along with other features.
Abstract:
An information management system according to certain aspects may determine whether snapshot operations will work prior to executing them. The system may check various factors or parameters relating to a snapshot storage policy to verify whether the storage policy will work at runtime without actually executing the policy. Some examples of factors can include: availability of primary storage devices for which a snapshot should be obtained, availability of secondary storage devices, license availability for snapshot software, user credentials for connecting to primary and/or second storage devices, available storage capacity, connectivity to storage devices, etc. The system may also check whether a particular system configuration is supported in connection with snapshot operations. The result of the determination can be provided in the form of a report summarizing any problems found with the snapshot storage policy. The report can include recommended courses of action or solutions for resolving any identified issues.
Abstract:
Data storage operations, including content-indexing, containerized deduplication, and policy-driven storage, are performed 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 are disclosed for content indexing data stored within a cloud environment to facilitate later searching, including collaborative searching. Methods are also disclosed for performing containerized deduplication to reduce the strain on a system namespace, effectuate cost savings, etc. Methods are disclosed for identifying suitable storage locations, including suitable cloud storage sites, for data files subject to a storage policy. Further, systems and methods for providing a cloud gateway and a scalable data object store within a cloud environment are disclosed, along with other features.
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.