Efficient adaptive allocation of resources for computational systems via statistically derived linear models
US12314777B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 20, 2022 |
| Grant date | May 27, 2025 |
| Priority date | — |
| Expiry date | Aug 5, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2209/508
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods that enable the efficient and adaptive allocation of resources dedicated to a virtualized resource-based computation (e.g., one or more information processing tasks) are provided. In one embodiment, a reward model is generated based on a set of statistical distributions, for example, in response to receiving a request to launch a set of VCRs. Thereafter, an expected reward is predicting for each configuration of a set of configurations based on the reward model and one or more parameters of the corresponding configuration. The expected reward indicates an efficiency in distribution or allocation of physical computation resources to the set of VCRs. A configuration of the set of configurations is selected based on the predicted expected reward for the configuration. The set of VCRs are then configured with the selected configuration.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.