Adaptive ensemble workload prediction model based on machine learning algorithms
US10402733B1 · kind B1 · utility
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Key dates
| Filing date | Jun 17, 2015 |
| Grant date | Sep 3, 2019 |
| Priority date | — |
| Expiry date | Dec 20, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Workload data associated with past execution of an application by a computing system is obtained. Two or more prediction models are trained using the obtained past workload data. A weight is assigned to each of the two or more trained prediction models. The two or more weighted prediction models are combined to form an ensemble prediction model configured to predict, in real-time, workload associated with future execution of the application by the computing system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.