Applying machine learning in storage system code load problem analysis
US10817311B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 14, 2019 |
| Grant date | Oct 27, 2020 |
| Priority date | — |
| Expiry date | Aug 14, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided are a computer program product, system, and method for applying a machine learning algorithm to problem analysis in a code load operation of a data storage system. A code load driver is provided that receives code load operation information for an event during a code load operation in the storage system. The code load operation information indicates an error in the code load operation at a time of the event. A portion of the code load inform is processed by a machine learning to obtain a label indicating whether to halt the code load operation. In response to a label indicating the code load operation is to be halted, the code load operation is halted.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.