Dell Products Inc.

Emc IP Holding Company LLC

Ken Dorman

Jeremy O'Hare

Alesia Tringale

Owen Martin

Kuolin Hua

Jason J Duquette

Anoop Raghunathan

Lionel Bella

A hardware offload includes a hash engine that performs hashing for a block-based storage system. The hash engine calculates multiple hash values for each input buffer provided by the storage system. The hash values may be calculated with variably offset and overlapping portions of the input buffer, wherein each portion is larger than the native block size of the storage system. The hardware offload may also include a compression engine that performs compression on the input buffer using the entire input buffer and/or chunks as compression domains.

Multiple overlapping hashes at variable offset in a hardware offload

Compressing data of a storage device includes selecting a portion of data for data compression that is predicted to be unlikely to be accessed, selecting a particular one of a plurality of data compression algorithms to apply to the portion according to a frequency value associated with each of the data compression algorithms, and adjusting the frequency value of the particular one of a plurality of data compression algorithms according to performance of the particular one of a plurality of data compression algorithms. The performance may vary according to a ratio of amount of compression achieved to processing cycles of a processor used to compress the portion of data. The processor may perform storage device functions that are separate from data compression. The portion of data may be selected from a plurality of logical devices used in connection with a single application that accesses the storage device.

Accelerating data reduction through reinforcement learning

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West Brookfield, MA, United States of America

Ken Dorman