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.

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.

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.

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: 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 operations and a reporting manager or monitor agent which monitors the elements and data 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: 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.

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: Systems and methods for managing electronic data are disclosed. Various data management operations can be performed based on a metabase formed from metadata. Such metadata can be identified from an index of data interactions generated by a journaling module, and obtained from their associated data objects stored in one or more storage devices. In various embodiments, such processing of the index and storing of the metadata can facilitate, for example, enhanced data management operations, enhanced data identification operations, enhanced storage operations, data classification for organizing and storing the metadata, cataloging of metadata for the stored metadata, and/or user interfaces for managing data. In various embodiments, the metabase can be configured in different ways. For example, the metabase can be stored separately from the data objects so as to allow obtaining of information about the data objects without accessing the data objects or a data structure used by a file system.

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 operations and a reporting manager or monitor agent which monitors the elements and data 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: The present invention discloses methods and systems for contiguous utilization of individual end-user-based cloud-storage subscriptions. Methods including the steps of: upon receiving a write request for writing a data file into at least one cloud-storage allocation unit, identifying unused available storage in the cloud-storage allocation unit; fragmenting the data file into chunk files; encrypting each chunk file; writing each chunk file to the cloud-storage allocation unit to satisfy the write request; and updating a metadatabase having metadata associated with the data file and the chunk files.

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: A system and method for using a snapshot as a data source is described. In some cases, the 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.

Abstract: Content-aware systems and methods for improving de-duplication, or single instancing, in storage operations. In certain examples, backup agents on client devices parse application-specific data to identify data objects that are candidates for de-duplication. The backup agents can then insert markers or other indictors in the data that identify the location(s) of the particular data objects. Such markers can, in turn, assist a de-duplication manager to perform object-based de-duplication and increase the likelihood that like blocks within the data are identified and single instanced. In other examples, the agents can further determine if a data object of one file type can or should be single-instanced with a data object of a different file type. Such processing of data on the client side can provide for more efficient storage and back-end processing.

Abstract: A system and method for using a snapshot as a data source is described. In some cases, the 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.

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 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 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 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: 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.