Task-execution planning using machine learning
US12130811B2 · kind B2 · utility
0Cited by
4References
14Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jul 31, 2023 |
| Grant date | Oct 29, 2024 |
| Priority date | — |
| Expiry date | Jul 31, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/27
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for improving task scheduling on a cloud data platform is provided. A task to be executed using resources of a computing cluster is received. A task execution plan is generated and information about data to be used for the ask is accessed. Resource requirements for executing the task are predicted by applying machine learning to the task execution plan and the information about the data. Assignment data is generated to execute the task on the resources by applying machine learning information about a current state of the resources and predicted resource requirements.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.