International Business Machines Corporation
Using a machine learning module to perform destages of tracks with holes in a storage system

Last updated:

Abstract:

In response to an end of track access for a track in a cache, a determination is made as to whether the track has modified data and whether the track has one or more holes. In response to determining that the track has modified data and the track has one or more holes, an input on a plurality of attributes of a computing environment in which the track is processed is provided to a machine learning module to produce an output value. A determination is made as to whether the output value indicates whether one or more holes are to be filled in the track. In response to determining that the output value indicates that one or more holes are to be filled in the track, the track is staged to the cache from a storage drive.

Status:
Grant
Type:

Utility

Filling date:

23 Dec 2020

Issue date:

26 Apr 2022