Transient sharing of available SAN compute capability
US10540202B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 28, 2017 |
| Grant date | Jan 21, 2020 |
| Priority date | — |
| Expiry date | Nov 20, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2209/503
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments are described for a executing a processing job using one or more nodes of a storage area network using computing resources on the SAN that are predicted to be idle. A predictive model is generated by monitoring idle states of resources of nodes of the SAN and using machine learning to build the predictive model. A scheduler executes jobs on one or more nodes of the SAN with sufficient predicted idle resources to process the job, in accordance with resource requirements and job attributes in a manifest of the job. If a job cannot be completed during a window of time that the necessary resources are predicted to be idle, or if one or more resources become unavailable, the job can be paused and resumed, migrated to another node, or restarted at a later time when the required resources to complete the job are predicted to be idle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.