International Business Machines Corporation

Abhishek Dave

Sasikanth Eda

Sandeep R Patil

Nataraj Nagaratnam

John Thomas Olson

Duane Mark Baldwin

Ajay K Singh

Abhishek Jain

Anil Laxman Palled

Shailesh S Jeurkar

An embodiment of the invention may include a method, computer program product and system for optimizing data defragmentation. The embodiment may include collecting details related to contiguous storage space available on a disk drive. The embodiment may include identifying a type of object storage implementation utilized on the disk drive. The type of object storage implementation is based on how an object is stored within the disk drive. The embodiment may include identifying an important component of the object. The important component of the object is determined by a frequency of access. The embodiment may include identifying a non-important component of the object. The non-important component of the object is determined by a frequency of access. The embodiment may include moving the important component to an outer sector of the disk drive. The embodiment may include moving the non-important component to an inner sector of the disk drive.

Optimized performance through leveraging appropriate disk sectors for defragmentation in an erasure coded heterogeneous object storage cloud

A computer-implemented method, according to one embodiment, includes: capturing a snapshot of data stored at a primary storage location, and determining a transaction identification which corresponds to each file operation included in the snapshot, where each file operation includes a respective number of sub-operations. Data included in the snapshot which corresponds to completed ones of the sub-operations is identified, and the determined transaction identifications as well as the identified data is used to populate entries in a data structure. The snapshot is sent to a secondary storage location, and an acknowledgement is received from the secondary storage location for each of the completed sub-operations that are successfully performed at the secondary storage location. Furthermore, the data structure is updated based on the received acknowledgements.

Establishing object atomicity in snapshot based disaster recovery environments

A method for selectively retrieving requested data files associated with computer cluster systems based on metadata associated with the requested data files is provided. The method may include receiving data retrieval requests, wherein the data retrieval requests include a request to retrieve requested data files. The method may also include querying the metadata associated with the requested data files, wherein the queried metadata determines a location affinity of data blocks associated with the requested data files located on a remote cluster associated with the computer cluster system. The method may further include based on the queried metadata, determining at least one server associated with the computer cluster system that is locally available and provides an optimum access to the requested data files. The method may also include, selecting the determined at least one server that provides the optimum access to retrieve the requested data files.

Selectively retrieving data from remote share nothing computer clusters

A computer-implemented method, according to one embodiment, includes: selecting two previously captured snapshots and calculating a checksum for each file in each of the two snapshots. The checksums are used to determine whether the two snapshots are sufficiently similar to each other. In response to determining that the two snapshots are sufficiently similar to each other, important ones of the files in each of the two snapshots are identified. The identified important files which are located in a lower performance tier of a multi-tier data storage system are transitioned to a higher performance tier of the multi-tier data storage system. Moreover, a merged snapshot is created by merging the two snapshots, and the merged snapshot is provided for additional operations. Other systems, methods, and computer program products are described in additional embodiments.

Using merged snapshots to increase operational efficiency for network caching based disaster recovery

Resiliency in file replication scenarios via maintenance of multiple replication queues with differing susceptibility to various sources of data loss. A plurality of requests are received at a first file system location to write to one or more file system objects at the first file system location. Details about the plurality of requests are recorded in at least two replication queues which differ, at least in part, as to types of failures which will cause data loss. Responsive to detection of data loss in one of the replication queues, details about the plurality of requests are retrieved from another of the replication queues.

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Pune, India

Abhishek Dave