Transferable clustering of contextual bandits for cloud service resource allocation
US12294529B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 27, 2023 |
| Grant date | May 6, 2025 |
| Priority date | — |
| Expiry date | Jun 27, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/16
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Methods for determining optimal cloud service resource include determining a reward function for a set of resource configurations identifying cloud service resource parameters. The cloud service resource parameters include a source parameter and a target parameter of services to provide a client computing device. A source parameter dataset for the source parameter and a target parameter dataset is generated using the reward function and historical source parameter data. The matrices are then subject to SVD and clustering. A target parameter reward dataset is learned from output of the SVD and clustering. The target parameter dataset is used to determine the parameters for the target parameter for providing corresponding cloud service resources.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.