Abstract:
Systems and methods provide on demand data storage by creating an unpartitioned storage pool; generating a unique volume identifier for a data storage volume at a predetermined location; pre-provisioning the data storage volume in a volume queue ready for use on-demand; and storing data on the data storage volume at the predetermined location on-demand.
Abstract:
Systems and methods are disclosed for rapidly restoring client data set for a computer by storing the client data and one or more pat sets required to revert to one or more version of the client data on a remote server; storing a local copy of the replicated client data on a local data storage device coupled to the computer; receiving a request to revert to a predetermined version of the client data; using the local copy as a seed, receiving a patch set corresponding to a predetermined version; and updating the local copy using the patch set to generated the predetermined version.
Abstract:
A data recovery system includes a plurality of customer computers to be backed-up, each customer computer running a client software to communicate back-up data files; a system management platform coupled to the client software over the Internet, the system management platform receiving inputs from a web user portal to control operations of the client software and the system management platform to back up the customer computer; and two or more data storage silos, each including: a plurality of storage directors communicating with the client software; and a clustered data storage array.
Abstract:
Systems and methods are disclosed for backing up a client data set on a computer by identifying changed files; generating a first sub-file signature for one or more segments of a changed file; subsequently generating a second sub-file signature for each file segment to detect insertions, removals, and rearrangements of data in the file; transmitting one more changed segment(s) in the file; and writing a manifest file reflecting the new target state.
Abstract:
Systems and methods for replicating a client data set on a computer includes replicating the client data set using an application software on the computer; generating a manifest of a target data set during replication containing state of target data reflecting post-update state; and determining differences between the local data and manifest to determine required backup operations.
Abstract:
A method for backing up a client data set on a computer by generating a manifest of the client data set and storing the manifest on a remote server along with a server data set corresponding to the client data set; taking a snapshot of the server manifest and data set; and comparing the manifest to the remote server data set and synchronizing the client dataset if a difference is detected.
Abstract:
Systems and methods are disclosed for rapidly restoring client data set for a computer by storing the client data and one or more pat sets required to revert to one or more version of the client data on a remote server; storing a local copy of the replicated client data on a local data storage device coupled to the computer; receiving a request to revert to a predetermined version of the client data; using the local copy as a seed, receiving a patch set corresponding to a predetermined version; and updating the local copy using the patch set to generated the predetermined version.
Abstract:
Systems and methods provide on demand data storage by creating an unpartitioned storage pool; generating a unique volume identifier for a data storage volume at a predetermined location; pre-provisioning the data storage volume in a volume queue ready for use on-demand; and storing data on the data storage volume at the predetermined location on-demand.
Abstract:
A method for backing up a client data set on a computer by generating a manifest of the client data set and storing the manifest on a remote server along with a server data set corresponding to the client data set; taking a snapshot of the server manifest and data set; and comparing the manifest to the remote server data set and synchronizing the client dataset if a difference is detected.
Abstract:
Systems and methods are disclosed for backing up a computer with a distributed meta data store by splitting meta data from file data; storing the meta data for each file in a separate file; mapping the file data and meta data to an arbitrary file system; and reconstructing files for the arbitrary file system.