Data driven methods and systems for what if analysis
US10817803B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 2, 2017 |
| Grant date | Oct 27, 2020 |
| Priority date | — |
| Expiry date | Feb 8, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F9/5077
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are described for applying what-f analytics to simulate performance of computing resources in cloud and other computing environments. In one or more embodiments, a plurality of time-series datasets are received including time-series datasets representing a plurality of demands on a resource and datasets representing performance metrics for a resource. Based on the datasets at least one demand propagation model and at least one resource prediction model are trained. Responsive to receiving an adjustment to a first set of one or more values associated with a first demand: (a) a second adjustment is generated for a second set of one or more values associated with a second demand; and (b) a third adjustment is generated for a third set of one or more values that is associated with the resource performance metric.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.