System and method for modeling and forecasting input/output (IO) performance using adaptable machine learning
US12079101B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 22, 2022 |
| Grant date | Sep 3, 2024 |
| Priority date | — |
| Expiry date | Aug 12, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, computer program product, and computing system for processing historical input/output (IO) performance data associated with one or more storage objects of a storage system. A plurality of IO modeling systems may be trained using the historical IO performance data. Modeling performance information may be determined for the plurality of IO modeling systems across the historical IO performance data. A forecast score may be determined for each IO modeling system based on the modeling performance information for the plurality of IO modeling systems. A subset of the plurality of IO modeling systems may be selected based upon the forecast score for each IO modeling system. The at least one IO modeling system may be trained using the historical IO performance data. IO performance data may be forecasted using the at least one trained IO modeling system from the subset of the plurality of IO modeling systems.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.