Abstract: Embodiments relate to policy-based, multi-scheme data reduction for a computer memory. An aspect includes receiving a plurality of policy rules by a policy engine of the computer memory, wherein a first policy rule specifies applying a first data reduction scheme to data in the computer memory based on the data matching first characteristics, wherein a second policy rule specifies applying a second data reduction scheme to data in the computer memory based on the data matching second characteristics, wherein the first data reduction scheme is different from the second data reduction scheme. Another aspect includes determining, by the policy engine, that first data in the computer memory matches the first characteristics, and that second data in the computer memory matches the second characteristics. Yet another aspect includes applying the first data reduction scheme to the first data, and applying the second data reduction scheme to the second data.

Abstract: A computer-implemented method according to one embodiment includes identifying an event associated with a high speed storage tier of a data storage system, determining a policy rule that is triggered in response to the event, and implementing one or more data management actions associated with the high speed storage tier according to the policy rule.

Abstract: Embodiments relate to policy-based, multi-scheme data reduction for a computer memory. An aspect includes receiving a plurality of policy rules by a policy engine of the computer memory, wherein a first policy rule specifies applying a first data reduction scheme to data in the computer memory based on the data matching first characteristics, wherein a second policy rule specifies applying a second data reduction scheme to data in the computer memory based on the data matching second characteristics, wherein the first data reduction scheme is different from the second data reduction scheme. Another aspect includes determining, by the policy engine, that first data in the computer memory matches the first characteristics, and that second data in the computer memory matches the second characteristics. Yet another aspect includes applying the first data reduction scheme to the first data, and applying the second data reduction scheme to the second data.

Abstract: A computer-implemented method according to one embodiment includes identifying an event associated with a high speed storage tier of a data storage system, determining a policy rule that is triggered in response to the event, and implementing one or more data management actions associated with the high speed storage tier according to the policy rule.

Abstract: Embodiments relate to policy-based, multi-scheme data reduction for a computer memory. An aspect includes receiving a plurality of policy rules by a policy engine of the computer memory, wherein a first policy rule specifies applying a first data reduction scheme to data in the computer memory based on the data matching first characteristics, wherein a second policy rule specifies applying a second data reduction scheme to data in the computer memory based on the data matching second characteristics, wherein the first data reduction scheme is different from the second data reduction scheme. Another aspect includes determining, by the policy engine, that first data in the computer memory matches the first characteristics, and that second data in the computer memory matches the second characteristics. Yet another aspect includes applying the first data reduction scheme to the first data, and applying the second data reduction scheme to the second data.

Abstract: A mechanism is provided for reducing the backup time of data files from a memory. Data files are pre-staged by identifying the data files in the memory to be backed up to a backup storage system, sorting the data files by size thereby forming a set of small data files and a set of large data files, and copying the set of small data files to a cache while leaving the set of large data files in a disk subsystem. The set of small data files are then backed-up from the cache and the set of large data files are backed-up from the disk subsystem to a backup storage system. Thus, the time required to backup the set of small data files from the cache is performed at a faster rate as compared to backing up the set of large data files from the disk subsystem.

Abstract: A mechanism is provided for reducing the backup time of data files from a memory. Data files are pre-staged by identifying the data files in the memory to be backed up to a backup storage system, sorting the data files by size thereby forming a set of small data files and a set of large data files, and copying the set of small data files to a cache while leaving the set of large data files in a disk subsystem. The set of small data files are then backed-up from the cache and the set of large data files are backed-up from the disk subsystem to a backup storage system. Thus, the time required to backup the set of small data files from the cache is performed at a faster rate as compared to backing up the set of large data files from the disk subsystem.

Abstract: Embodiments relate to policy-based, multi-scheme data reduction for a computer memory. An aspect includes receiving a plurality of policy rules by a policy engine of the computer memory, wherein a first policy rule specifies applying a first data reduction scheme to data in the computer memory based on the data matching first characteristics, wherein a second policy rule specifies applying a second data reduction scheme to data in the computer memory based on the data matching second characteristics, wherein the first data reduction scheme is different from the second data reduction scheme. Another aspect includes determining, by the policy engine, that first data in the computer memory matches the first characteristics, and that second data in the computer memory matches the second characteristics. Yet another aspect includes applying the first data reduction scheme to the first data, and applying the second data reduction scheme to the second data.

Abstract: Embodiments of the disclosure relate to storing and sharing data in a scalable distributed storing system using parallel file systems. An exemplary embodiment may comprise a network, a storage node coupled to the network for storing data, a plurality of application nodes in device and system modalities coupled to the network, and a parallel file structure disposed across the storage node and the application nodes to allow data storage, access and sharing through the parallel file structure. Other embodiments may comprise interface nodes for accessing data through various file access protocols, a storage management node for managing and archiving data, and a system management node for managing nodes in the system.

Abstract: A mechanism is provided for reducing the backup time of data files from a memory. Data files are pre-staged by identifying the data files in the memory to be backed up to a backup storage system, sorting the data files by size thereby forming a set of small data files and a set of large data files, and copying the set of small data files to a cache while leaving the set of large data files in a disk subsystem. The set of small data files are then backed-up from the cache and the set of large data files are backed-up from the disk subsystem to a backup storage system. Thus, the time required to backup the set of small data files from the cache is performed at a faster rate as compared to backing up the set of large data files from the disk subsystem.

Abstract: Embodiments of the disclosure relate to storing and sharing data in a scalable distributed storing system using parallel file systems. An exemplary embodiment may comprise a network, a storage node coupled to the network for storing data, a plurality of application nodes in device and system modalities coupled to the network, and a parallel file structure disposed across the storage node and the application nodes to allow data storage, access and sharing through the parallel file structure. Other embodiments may comprise interface nodes for accessing data through various file access protocols, a storage management node for managing and archiving data, and a system management node for managing nodes in the system.

Abstract: A method of managing remote storage sets retention grace period, an archive retention period, and a backup retention period all equal to the same time period. In response to receiving a request to migrate a file to remote storage by any one of HSM, archive, or backup, the method creates a stub of the file, stores the stub in local storage, moves the file to remote storage, and backs up the file at the remote storage. In response to receiving a request to access an HSM file, the method determines if the requested file is in HSM remote storage; if so, the method returns the requested file from remote storage; if not; the method determines if the requested file is in archive remote storage or backup storage and, if so, returns the requested file from said remote storage.

Abstract: The present invention can include an automated method that optimizes the selection of a node in a distributed file system (DFS) to fulfill a client request. Such a method can begin when a client request is received by a master node of a distributed file system (DFS). The DFS can include a multitude of DFS nodes capable of accessing various resources. Two or more DFS nodes can be preselected to fulfill the client request. Each preselected DFS node can then participate in a voting process to dynamically determine the response DFS node that can optimally respond to the client request. The client request can be fulfilled by response DFS node, utilizing the DFS node best capable of servicing the client request.

Abstract: A grid application and storage system to enhance data access. The grid application and storage system comprises a plurality of grid application storage nodes with at least one storage system, said grid application storage nodes being remote to each other and connected via inter-connections; at least one application process distributed across said grid application storage nodes; and at least one grid node control process also distributed across said grid application storage nodes, said grid node control process managing grid application storage node operations. A plurality of client systems are connected to said grid application and storage system via a network for deploying said application process and accessing application data stored on said grid application storage nodes.