Method for deploying storage system resources with learning of workloads applied thereto
US10013286B2 · kind B2 · utility
3Cited by
1References
15Claims
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Key dates
| Filing date | Feb 24, 2016 |
| Grant date | Jul 3, 2018 |
| Priority date | — |
| Expiry date | Aug 6, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for deploying storage system resources with learning of workloads applied to a storage system is disclosed. The method utilizes state-action fuzzy rules and action-reward fuzzy rules for the storage system to learn a best dynamic deployment of resources from the parameters of workloads. No more human interference is required. It reduces work loading of the storage system administrator and enhances performance of the storage system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.