Abstract:
A system stores a snapshot and an associated data structure or index to storage media to create a secondary copy of a volume of data. In some cases, the associated index includes application specific data about a file system or other application that created the data to identify the location of the data. The associated index may include three entries, and may be used to facilitate the recovery of data via the snapshot. The snapshot may be used by ancillary applications to perform various functions, such as content indexing, data classification, deduplication, e-discovery, and other functions.
Abstract:
A computerized method for sharing removable storage media in a network, the method comprising associating, in an index entry, a first piece of removable storage media in a first storage device with at least a first storage policy copy and a second storage policy copy; copying, to the first piece of removable storage media, data associated with the first storage policy copy; and copying, to the first piece of removable storage media, data associated with the second storage policy copy.
Abstract:
A system and method of creating archive copies of data sets is described. In some examples, the system creates an archive copy from an original data set. In some examples, the system creates an archive copy when creating a recovery copy for a data set. In some examples, the system creates a copy without redundant data, and then encrypts the data set.
Abstract:
A method and system described herein for classifying data of virtual machines in a heterogeneous computing comprising virtual machines and non-virtual machines. The system may access a secondary copy of data stored by a virtual machine, create metadata associated with that data, store the metadata in an index that comprises metadata associated with data stored on non-virtual machines, using a journal file, determine modified data objects within the data stored by the virtual machine, access or create metadata associated with modified data objects, and update the index accordingly.
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 method and system for reducing storage requirements and speeding up storage operations by reducing the storage of redundant data includes receiving a request that identifies one or more data objects to which to apply a storage operation. For each data object, the storage system determines if the data object contains data that matches another data object to which the storage operation was previously applied. If the data objects do not match, then the storage system performs the storage operation in a usual manner. However, if the data objects do match, then the storage system may avoid performing the storage operation.
Abstract:
The present invention provides systems and methods for data storage. A hierarchical storage management architecture is presented to facilitate data management. The disclosed system provides methods for evaluating the state of stored data relative to enterprise needs by using weighted parameters that may be user defined. Also disclosed are systems and methods evaluating costing and risk management associated with stored data.
Abstract:
A system stores a snapshot and an associated data structure or index to storage media to create a secondary copy of a volume of data. In some cases, the associated index includes application specific data about a file system or other application that created the data to identify the location of the data. The associated index may include three entries, and may be used to facilitate the recovery of data via the snapshot. The snapshot may be used by ancillary applications to perform various functions, such as content indexing, data classification, deduplication, e-discovery, and other 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:
A method and system for reducing storage requirements and speeding up storage operations by reducing the storage of redundant data includes receiving a request that identifies one or more data objects to which to apply a storage operation. For each data object, the storage system determines if the data object contains data that matches another data object to which the storage operation was previously applied. If the data objects do not match, then the storage system performs the storage operation in a usual manner. However, if the data objects do match, then the storage system may avoid performing the storage operation.