Managing data reduction in storage systems using machine learning
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United States of America
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Apr 26, 2022
Grant Date -
Jul 9, 2020
app pub date -
Mar 6, 2020
filing date -
Mar 6, 2020
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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.
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