Western Digital Technologies, Inc.

Rushang Karia

Jacob Schmier

Mervyn Wongso

Lakshmana Chintada

Kevin Corbin

Edoardo Daelli

A method and apparatus is disclosed for using supervised learning with closed loop feedback to improvement of output consistency for memory arrangements, such as a solid state drive.

Supervised learning with closed loop feedback to improve input output consistency of solid state drives

A non-volatile memory (NVM) system receives host requests that each specify a memory operation to be performed by the NVM system, the specified memory operations including read operations and write operations, and performs a set of operations for each memory operation specified by a received host request. The set of operations performed for each such memory operation include: initiating performance the memory operation; determining a throttle interval for the memory operation in accordance with at least a first factor, corresponding to available space in a write cache of the non-volatile memory system, and a second factor, corresponding to a metric corresponding to prevalence of write operations in the memory operations specified by the received host requests; and returning to the host system a response associated with the memory operation at a time no earlier than a start time associated with the memory operation plus the determined throttle interval.

Method and system for input-output throttling to improve quality of service in a solid state drive

Supervised learning with closed loop feedback to improve ioconsistency of solid state drives

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Tempe, AZ, United States of America

Rushang Karia