Utilizing maching learning to reduce cloud instances in a cloud computing environment
US10382260B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 7, 2018 |
| Grant date | Aug 13, 2019 |
| Priority date | — |
| Expiry date | Jun 7, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/5096
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.