Storage system IO throttling utilizing a reinforcement learning framework
US11797189B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 2, 2022 |
| Grant date | Oct 24, 2023 |
| Priority date | — |
| Expiry date | Jun 3, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An apparatus comprises at least one processing device that includes a processor coupled to a memory. The at least one processing device is configured to determine a current state of a storage system, the current state of the storage system comprising two or more input-output (IO) performance metric values for the storage system, to generate, utilizing a reinforcement learning framework, an IO throttling recommendation for the storage system based at least in part on the current state of the storage system, to apply the IO throttling recommendation to the storage system, and to update the reinforcement learning framework based at least in part on a subsequent state of the storage system following the application of the IO throttling recommendation to the storage system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.