Intel Corporation

Charles Lockwood

Sudip S Chahal

Terry H Yoshii

Husni Bahra

Nigel Wayman

Shane Healy

Bala K Iyer

Nirmal Govind

James R Wuerfel

Peter J Lopez

Sudip Chahal

Various systems and methods for caching and tiering in cloud storage are described herein. A system for managing storage allocation comprises a storage device management system to maintain an access history of a plurality of storage blocks of solid state drives (SSDs) managed by the storage device management system; and automatically configure each of a plurality of storage blocks to operate in cache mode or tier mode, wherein a ratio of storage blocks operating in cache mode and storage blocks operating in tier mode is based on the access history.

Caching and tiering for cloud storage

Embodiments of a method of optimally scheduling, in near real-time, workunits for processing on processing stations in a processing system, while accounting for constraints such as processing station qualifications by workunit type and service type, and to meet certain business objectives such as cycle time and demand targets, are described. A method of scheduling the processing of workunits in a processing system comprises defining a plurality of workunits, aggregating the work units by workunit type and service to be performed on each workunit to define one or more workunit type-service type groupings. The method further allocates capacity of one or more processing stations to workunit type-service type groupings, assigns workunits of the plurality of workunits to meet the allocated capacity, and sequences the workunit type-service type groupings and workunits on each processing station of the one or more processing stations. Other embodiments are described and claimed.

Optimization-based process scheduling method and system

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Beaverton, OR, United States of America

Charles Lockwood