Using Machine Learning And Data Sampling To Optimize Data Reduction
AssigneePure Storage, Inc.
InventorsYANWEI JIANG, FENG WANG, SIYANG CHEN, JOHN COLGROVE, QINQI WANG
Life of this patent
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Abstract
Using machine learning and data sampling to optimize data reduction, including: collecting a plurality of data samples from data stored in a storage system; calculating, based on the plurality of data samples, a deduplication ratio; calculating, based on the plurality of data samples, a compression ratio; and performing a data reduction resource allocation in the storage system based on the deduplication ratio and the compression ratio.
Claims20
A method, comprising:
- collecting a plurality of data samples from data stored in a storage system;
- calculating, based on the plurality of data samples, a deduplication ratio;
- calculating, based on the plurality of data samples, a compression ratio;
- and
- performing a data reduction resource allocation in the storage system based on the deduplication ratio and the compression ratio.
A system comprising:
- a memory;
- and
- a processing device, operatively coupled to the memory, the processing device configured to:
- collect a plurality of data samples from data stored in a storage system;
- calculate, based on the plurality of data samples, a deduplication ratio;
- calculate, based on the plurality of data samples, a compression ratio;
- and
- perform a data reduction resource allocation in the storage system based on the deduplication ratio and the compression ratio.
A non-transitory computer readable storage medium storing instructions which, when executed, cause a processing device to:
- collect a plurality of data samples from data stored in a storage system;
- calculate, based on the plurality of data samples, a deduplication ratio;
- calculate, based on the plurality of data samples, a compression ratio;
- and
- perform a data reduction resource allocation in the storage system based on the deduplication ratio and the compression ratio.
Dependencies are inferred from the claim text.