Workflow pipeline optimization based on machine learning operation for determining wait time between successive executions of the workflow
US11663051B2 · kind B2 · utility
1Cited by
7References
17Claims
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Key dates
| Filing date | Jan 7, 2020 |
| Grant date | May 30, 2023 |
| Priority date | — |
| Expiry date | Jun 18, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2209/484
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments are provided for providing workflow pipeline optimization in a computing environment. Execution of a workflow containing dependencies between one or more subject nodes and one or more observer nodes may be dynamically optimized by determining a wait time between successive executions of the workflow for the one or more observer nodes.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.