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US 2024/0403280 A1Published application
Using Machine Learning To Dynamically Select Data Reduction Techniques For Storage Systems
AssigneePure Storage, Inc.
InventorsMATTHEW FAY, BENJAMIN SCHOLBROCK, ARUN THEEBAPRAKASAM, JOHN COLGROVE
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Abstract
Using machine learning to dynamically select data reduction techniques, including: generating data describing resource usage in a storage system; determining, by a machine learning model and based on the data, a change to one or more data reduction processes of the storage system; and applying the change to the one or more data reduction processes.
Claims20
A method, comprising:
- generating data describing resource usage in a storage system;
- determining, by a machine learning model and based on the data, a change to one or more data reduction processes of the storage system;
- and
- applying the change to the one or more data reduction processes.
1 more element
A system comprising:
- a memory;
- and
- a processing device, operatively coupled to the memory, the processing device configured to:
- generate data describing resource usage in a storage system;
- determine, by a machine learning model and based on the data, a change to one or more data reduction processes of the storage system;
- and
- apply the change to the one or more data reduction processes.
4 more elements
A non-transitory computer readable storage medium storing instructions which, when executed, cause a processing device to:
- generate data describing resource usage in a storage system;
- determine, by a machine learning model and based on the data, a change to one or more data reduction processes of the storage system;
- and
- apply the change to the one or more data reduction processes.
1 more element
Dependencies are inferred from the claim text.