Utilizing a machine learning model to predict a quantity of cloud resources to allocate to a customer
US11392843B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 26, 2019 |
| Grant date | Jul 19, 2022 |
| Priority date | — |
| Expiry date | Sep 16, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/303
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A device may receive historical cloud data associated with resources of a cloud computing environment, and may receive historical customer data associated with requested resource usage by customers of the cloud computing environment. The device may determine a usage growth profile based on the historical cloud data and the historical customer data, and may determine, based on the historical cloud data and the historical customer data, usage deviation data indicating deviations between actual and planned resource usage. The device may train a model, with the usage growth profile and the usage deviation data, to generate a trained model, and may receive a request for new resource usage by a customer associated with the cloud computing environment. The device may process the request for the new resource usage, with the trained model, to generate projected resource usage data, and may perform actions based on the projected resource usage data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.