Veritas Technologies LLC

Disclosed herein are methods, systems, and processes to perform cloud replication based on adaptive Quality of Service. A replication stream is monitored over a period of time. The replication stream includes write operations issued by an application, and is associated with preset parameters. Replication parameters applicable to the replication stream are determined. The replication parameters are configured to be used in a replication operation. The preset parameters and the replication parameters are stored.

Methods, computer program products, computer systems, and the like are disclosed that provide for improved deduplication performance using prefetched backup information. For example, such methods, computer program products, and computer systems can include generating new feature information for a new backup image, (for each existing backup image in a plurality of existing backup images) comparing the new feature information with existing feature information for the each existing backup image, identifying one or more existing backup images of the plurality of existing backup images, and prefetching the one or more existing backup images. The feature information is generated as an output of a machine learning process. The machine learning process receives at least a portion of data of the new backup image as an input. The one or more existing backup images are identified based, at least in part, on a result of the comparing.

Disclosed herein are methods, systems, and processes to provide coherency across disjoint caches in clustered environments. It is determined whether a data object is owned by an owner node, where the owner node is one of multiple nodes of a cluster. If the owner node for the data object is identified by the determining, a request is sent to the owner node for the data object. However, if the owner node for the data object is not identified by the determining, selects a node in the cluster is selected as the owner node, and the request for the data object is sent to the owner node.

A method for protecting a folder from unauthorized file modification may include receiving, from a remote device, a modify request for a target file in a folder and determining whether the folder is a protected folder. The method may also include determining, in response to determining the folder is the protected folder, whether the remote device is a trusted host. The method may further include allowing, in response to determining that the remote device is the trusted host, the modify request for the target file.

Methods, computer program products, and computer systems for the management of data references in an efficient and effective manner are disclosed. Such methods, computer program products, and computer systems include receiving a change tracking stream at the computer system, identifying a data object group, and performing a deduplication management operation on the data object group. The change tracking stream is received from a client computing system. The change tracking stream identifies one or more changes made to a plurality of data objects of the client computing system. The identifying is based, at least in part, on at least a portion of the change tracking stream. The data object group represents the plurality of data objects.

Disclosed are techniques that provide for eventually-complete backups, and restoration thereof. For example, such methods, computer program products, and computer systems can include initiating a backup operation (where the backup operation is configured back up a dataset), detecting termination of the backup operation, detecting termination of the backup operation, and determining whether the backup operation backed up the dataset completely. In response to a determination that the backup operation did not backup the dataset completely, generating an indication that the backup is not complete. In response to a determination that the backup operation did not backup the dataset completely, generating an indication that the backup is complete.

A method includes creating a deduplicated universal share (US) of data objects, which in turn includes receiving a US of the data objects, deduplicating the US, wherein deduplicating the US includes: hashing segments of the US to generate respective US segment fingerprints; comparing US segment fingerprints to fingerprints for respective segments held in deduplication storage in order to identify segments in the deduplication storage that equate to the US segments, respectively, of the US; storing identifiers that directly or indirectly identify locations, respectively, of the segments, respectively, in the deduplication storage that equate to the US segments, respectively, of the US. After creating the deduplicated universal share, a deduplicated backup of the US is created without reassembling the US from segments held in the deduplication storage, the creating the deduplicated backup including: creating a list that comprises copies of the stored identifiers, and storing the list.

Disclosed are techniques that provide for deduplication in an efficient and effective manner. For example, such methods, computer program products, and computer systems can include generating new feature information for one or more portions of a new backup image, generating first container range information by performing a container range calculation using the new feature information, generating existing feature information for one or more portions of an existing backup image, generating second container range information by performing the container range calculation using the existing feature information, determining a container range affinity between the first container range information and the second container range information, identifying at least one portion of the one or more portions of the existing backup image using a result of the determining, and prefetching the one or more fingerprints corresponding to the at least one portion of the one or more portions of the existing backup image.

A method and system for data consistency across failure and recovery of infrastructure. In one embodiment of the method, copies of first data blocks stored in a source memory are sent to a target site via a data link. While sending one or more of the copies of the first data blocks to the target site, source hashes for second data blocks stored in the source memory are calculated, wherein the first data blocks are distinct from the second data blocks. While sending one or more of the copies of the first data blocks to the target site, target hashes of data blocks stored in a target memory of the target site are received. While sending one or more of the copies of the first data blocks to the target site, the source hashes are compared with the target hashes, respectively. After sending the first data blocks to the target site via the data link, copies of only those second data blocks are sent to the target site with source hashes that do not compare equally with respective target hashes.

Methods, computer program products, computer systems, and the like are disclosed that provide for scalable deduplication in an efficient and effective manner. For example, such methods, computer program products, and computer systems can include determining, at a source site, whether metadata has been received from a target site, and, in response to a determination that the metadata has been received at the source site, retrieving the at least one unit of the source data from the source data store using the metadata and sending, from the source site, the at least one unit of source data to the target site.