Abstract: Systems and methods disclosed herein provide intelligent filtering of system log messages having low utility value. In providing the filtering, the systems and methods determine the utility value of a system log message and delete the message from the system log if the message is determined to be of low utility value. As such, embodiments herein provide an system log filter, which reduces the amount of data stored in the system log based on the utility value of the message.

Abstract: The technique introduced here includes a system and method for identification of duplicate data directly at a data-object level. The technique illustratively utilizes a hierarchical tree of fingerprints for each data object to compare data objects and identify duplicate data blocks referenced by the data objects. The hierarchical fingerprint trees are constructed in such a manner that a top-level fingerprint (or object-level fingerprint) of the hierarchical tree is representative of all data blocks referenced by a storage system. In embodiments, inline techniques are utilized to generate hierarchical fingerprints for new data objects as they are created, and an object-level fingerprint of the new data object is compared against preexisting object-level fingerprints in the storage system to identify exact or close matches.

Abstract: The technique introduced here includes a system and method for identifying and mapping duplicate data objects referenced by data objects. The technique illustratively utilizes a hierarchical tree of fingerprints for each data object to compare the data objects and identify duplicate data blocks referenced by the data objects. A progressive comparison of the hierarchical trees starts from a top layer of the hierarchical trees and proceeds toward a base layer. Between the compared data objects (i.e., the compared hierarchical trees), the technique maps matching fingerprints only at the top-most layer of the hierarchical trees at which the fingerprints match. Lower layer matching fingerprints are neither compared nor mapped. Data blocks corresponding to the matching fingerprints are then deleted. Such an identification and mapping technique substantially reduces the amount of mapping metadata stored in data objects that have been subject to deduplication.

Abstract: Methods and apparatuses for efficiently migrating deduplicated data are provided. In one example, a data management system includes a data storage volume, a memory including machine executable instructions, and a computer processor. The data storage volume includes data objects and free storage space. The computer processor executes the instructions to perform deduplication of the data objects and determine migration efficiency metrics for groups of the data objects. Determining the migration efficiency metrics includes determining, for each group, a relationship between the free storage space that will result if the group is migrated from the volume and the resources required to migrate the group from the volume.

Abstract: Systems and methods disclosed herein provide intelligent filtering of system log messages having low utility value. In providing the filtering, the systems and methods determine the utility value of a system log message and delete the message from the system log if the message is determined to be of low utility value. As such, embodiments herein provide an system log filter, which reduces the amount of data stored in the system log based on the utility value of the message.

Abstract: The technique introduced here includes a system and method for identification of duplicate data directly at a data-object level. The technique illustratively utilizes a hierarchical tree of fingerprints for each data object to compare data objects and identify duplicate data blocks referenced by the data objects. The hierarchical fingerprint trees are constructed in such a manner that a top-level fingerprint (or object-level fingerprint) of the hierarchical tree is representative of all data blocks referenced by a storage system. In embodiments, inline techniques are utilized to generate hierarchical fingerprints for new data objects as they are created, and an object-level fingerprint of the new data object is compared against preexisting object-level fingerprints in the storage system to identify exact or close matches.

Abstract: The technique introduced here includes a system and method for identifying and mapping duplicate data objects referenced by data objects. The technique illustratively utilizes a hierarchical tree of fingerprints for each data object to compare the data objects and identify duplicate data blocks referenced by the data objects. A progressive comparison of the hierarchical trees starts from a top layer of the hierarchical trees and proceeds toward a base layer. Between the compared data objects (i.e., the compared hierarchical trees), the technique maps matching fingerprints only at the top-most layer of the hierarchical trees at which the fingerprints match. Lower layer matching fingerprints are neither compared nor mapped. Data blocks corresponding to the matching fingerprints are then deleted. Such an identification and mapping technique substantially reduces the amount of mapping metadata stored in data objects that have been subject to deduplication.