Proactive storage system-based software version analysis using machine learning techniques
US11036490B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 31, 2019 |
| Grant date | Jun 15, 2021 |
| Priority date | — |
| Expiry date | Nov 4, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F9/45533
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, apparatus, and processor-readable storage media for proactive storage system-based software version analysis using machine learning techniques are provided herein. An example computer-implemented method includes obtaining storage system data from multiple storage systems; determining performance issues among the storage systems by applying a machine learning algorithm to the storage system data; automatically grouping the storage system data into a set of groups based on issue type among the determined performance issues; automatically grouping, within the set, the storage system data into subsets based on a software version attributed to the corresponding storage system data; generating an output pertaining to actions to be performed with respect to at least one software version update; and transmitting the output to users of the storage systems which correspond to the storage system data in at least one of the subsets.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.