Method for forecasting distributed resource utilization in a virtualization environment
US11715025B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 29, 2016 |
| Grant date | Aug 1, 2023 |
| Priority date | — |
| Expiry date | Oct 7, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2209/5019
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for time series analysis of time-oriented usage data pertaining to computing resources of a computing system. A method embodiment commences upon collecting time series datasets, individual ones of the time series datasets comprising time-oriented usage data of a respective individual computing resource. A plurality of prediction models are trained using portions of time-oriented data. The trained models are evaluated to determine quantitative measures pertaining to predictive accuracy. One of the trained models is selected and then applied over another time series dataset of the individual resource to generate a plurality of individual resource usage predictions. The individual resource usage predictions are used to calculate seasonally-adjusted resource usage demand amounts over a future time period. The resource usage demand amounts are compared to availability of the resource to form a runway that refers to a future time period when the resource is predicted to be demanded to its capacity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.