Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A computer-implemented method for efficiently backing up large datasets may include (i) identifying data on an application server to be deduplicated by a deduplication server and then stored on a backup server, (ii) dividing the data into subsets, and (iii) for each subset of data subsequent to an initial subset of data, (a) transferring the subset of data to the deduplication server in response to detecting that a previous subset of data has completed transfer to the deduplication server, (b) deduplicating the subset of data in response to detecting that the previous subset of data has completed deduplication, and (c) transferring a deduplicated version of the subset of data to the backup server in response to detecting that the subset of data has completed deduplication and the previous subset of data has completed transfer to the backup server. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Methods, computer program products, computer systems, and the like for efficient metadata management are disclosed, which can include determining whether a change in a status of data has occurred. In response to a determination that the change has occurred, such methods, computer program products, and computer systems can include determining whether a move condition has been met, and, in response to a determination that the move condition has been met, moving the metadata from the first storage unit to a second storage unit.

Abstract: A computer-implemented method for identifying possible leakage paths of sensitive information may include (i) discovering an original set of users having permission to read the sensitive information at an originating storage device in an originating location via an original set of information transfer paths and (ii) performing a security action. The security action may include (A) determining an additional set of information transfer paths having information transfer paths other than the information transfer paths already discovered, via which the original set of users can write the sensitive information and (B) identifying an additional set of users having permission to read the sensitive information via the additional set of information transfer paths.

Abstract: The disclosed computer-implemented method for normalizing data store classification information may include (1) receiving, at the computing device, classification information from multiple data store content classification sources, (2) training a continuous bag of words (CBOW) classification model with the classification information, (3) receiving a classification tag from a data store for which respectively stored data is classified by one of the data store content classification sources, and (4) classifying, with the trained CBOW classification model, the received classification tag to a corresponding command tag, wherein the command tag represents a meaning of the classification tag. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Methods, computer program products, computer systems, and the like for improved performance, when backing up objects, are disclosed, which can include assigning a top-level entity to a backup host of a number of backup hosts and performing a backup operation on a number of objects. The objects are associated with the top-level entity. The backup operation is performed by the backup host. The backup operation includes determining whether one of the objects includes at least one new data segment or at least one modified data segment, and, in response to a determination that the object includes at least one new data segment or at least one modified data segment, writing information regarding the at least one new data segment or at least one modified data segment in a tracklog dedicated to the top-level entity.

Abstract: Methods, computer program products, computer systems, and the like providing for executing orchestration operations across data center infrastructures are disclosed. In one embodiment, the method includes analyzing a property graph to determine whether a node representing at least one entity in a first data center infrastructure has a contact point with a node representing one or more entities representing one or more core physical or hardware-based resources in a second data center infrastructure. If a contact point exist between nodes of associated with the first and second data centers, the orchestration operation is executed on the at least one entity in the first data center and a corresponding orchestration operation is executed on at least another entity in the second data center infrastructure represented at a contact point in the dependency relationships of the property graph.

Abstract: Methods, computer program products, computer systems, and the like are disclosed that provide for storage network configuration and maintenance in an efficient and effective manner. For example, such methods, computer program products, and computer systems can include selecting a selected network interface of a plurality of network interfaces of a node, generating a configuration package, and sending the configuration package on the selected network interface. In such embodiments, the node is one of a plurality of nodes in a storage cluster, and communicates with one or more other nodes of the plurality of nodes via the selected network interface. The configuration package includes a node identifier and node configuration information. The node identifier uniquely identifies the node among the plurality of nodes.

Abstract: Disclosed herein are methods, systems, and processes for source side classification of five and active data. Operating system calls associated with files being accessed or files recently accessed by an endpoint computing device are intercepted. A list including the files is generated and sent to a server computing device. A confirmation is received that a request to classify the files has been received from the server computing device.

Abstract: 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 receiving a data object at an assigned node, determining whether the data object includes a sub-data object, and processing the sub-data object. The assigned node is a node of a plurality of nodes of a cluster, where the data object includes a data segment, and a signature. The signature is generated based, at least in part, on data of the data segment. The processing includes sending the sub-data object to a remote node. The remote node is another node of the plurality of nodes of the cluster.

Abstract: Methods, computer program products, and computer systems for the classification of unstructured data items are disclosed. Such methods, computer program products, and computer systems include ingesting an item into a classification engine, performing term processing on one or more terms of the item, and processing a relational similarity index. The classification engine is implemented in the computer system. The relational similarity index represents a similarity of the item to a reference item, and the relational similarity index is determined using the one or more terms.