Managing data reduction in storage systems using machine learning
US10620863B2 · kind B2 · utility
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Key dates
| Filing date | Aug 1, 2018 |
| Grant date | Apr 14, 2020 |
| Priority date | — |
| Expiry date | Aug 1, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method is used in managing data reduction in storage systems using machine learning. A value representing a data reduction assessment for a first data block in a storage system is calculated using a hash of the data block. The value is used to train a machine learning system to assess data reduction associated with a second data block in the storage system without performing the data reduction on the second data block, where assessing data reduction associated with the second data block indicates a probability as to whether the second data block can be reduced.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.