Automatic compute environment scheduling using machine learning
US12417128B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 28, 2022 |
| Grant date | Sep 16, 2025 |
| Priority date | — |
| Expiry date | Dec 20, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments provide techniques for automatic compute environment scheduling using machine learning (ML). This includes identifying a first compute resource among a plurality of compute resources operating in a compute infrastructure, where the first compute resource is in a first operational state. It further includes determining, based on comparing a first time with a compute resources schedule generated using an ML model, that the first compute resource should be placed in a second operational state different from the first operational state. It further includes determining whether the compute resources schedule should be disregarded, and either (1) in response to determining that the compute resources schedule should not be disregarded, placing the first compute resource in the second operational state, or (2) in response to determining that the compute resources schedule should be disregarded, allowing the first compute resource to remain in the first operational state.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.