US 11,775,491 B2
Machine learning model for storage system
Prakash Darji, Santa Clara, CA (US); and Andrew R. Bernat, Mountain View, CA (US)
Assigned to PURE STORAGE, INC., Santa Clara, CA (US)
Filed by Pure Storage, Inc., Mountain View, CA (US)
Filed on Sep. 19, 2022, as Appl. No. 17/947,975.
Application 17/947,975 is a continuation of application No. 16/857,388, filed on Apr. 24, 2020, granted, now 11,474,986.
Prior Publication US 2023/0039564 A1, Feb. 9, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 16/00 (2019.01); G06F 16/22 (2019.01); G06N 20/00 (2019.01); G11B 33/12 (2006.01); G11B 20/18 (2006.01)
CPC G06F 16/22 (2019.01) [G06N 20/00 (2019.01); G11B 20/18 (2013.01); G11B 33/125 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
a memory; and
a processing device, operatively coupled to the memory, the processing device configured to:
provide data associated with a first storage media of a storage system as an input to a machine learning model executed by the processing device, wherein the machine learning model identifies one or more characteristics of the first storage media from the data;
compare one or more characteristics associated with data received by a second storage media of the storage system with the one or more characteristics of the first storage media; and
determine, by the machine learning model, a type of change associated with the second storage media based on comparing the one or more characteristics.