Workload tenure prediction for capacity planning
US11562299B2 · kind B2 · utility
0Cited by
0References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jun 18, 2019 |
| Grant date | Jan 24, 2023 |
| Priority date | — |
| Expiry date | Nov 8, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2209/5019
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are various embodiments for automating the prediction of workload tenures in datacenter environments. In some embodiments, parameters are identified for a plurality of workloads of a software defined data center. A machine learning model is trained to determine a predicted tenure based on parameters of the workloads. A workload for the software defined data center is configured to include at least one workload parameter. The workload is processed using the trained machine learning model to determine the predicted tenure. An input to the machine learning model includes the at least one workload parameter.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.