System and method for storage optimization using machine learning- driven application and workload identification
US12242757B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 23, 2021 |
| Grant date | Mar 4, 2025 |
| Priority date | — |
| Expiry date | Jul 23, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2212/7202
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, computer program product, and computing system for receiving a first set of input/output (IO) requests for one or more storage objects. One or more IO properties may be extracted from the first set of IO requests. Metadata may be associated with the one or more storage objects using one or more machine learning models based upon, at least in part, the one or more IO properties extracted from the first set of IO requests, thus defining storage object metadata. One or more IO processing rules may be enabled based upon, at least in part, the storage object metadata. A subsequent set of IO requests may be received. Processing of the subsequent set of IO requests on the one or more storage objects may be optimized based upon, at least in part, the storage object metadata and the one or more IO processing rules associated with the one or more storage objects.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.