Prediction of proficient resources for performing unprecedented workloads using models
US11836534B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 26, 2021 |
| Grant date | Dec 5, 2023 |
| Priority date | — |
| Expiry date | Jun 23, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2209/503
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
One or more processors receive resource type and capability information and activity information of workloads of a domain. A first model is generated and trained to map the resource information to the activity information of domain workloads. The activity information is decomposed into a set of activity core elements (ACEs). The one or more processors generate a second model, wherein the second model is trained to predict a set of resource types and resource capabilities of the respective resource types, based on an input of the first set of ACEs decomposed from the activity information of the workloads of the domain. The one or more processors receive a second set of ACEs that are decomposed from activities associated with an unprecedented workload, and the one or more processors generate a predicted set of resources to perform the second set of ACEs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.