Deploying a function in a hybrid cloud
US11831421B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 24, 2022 |
| Grant date | Nov 28, 2023 |
| Priority date | — |
| Expiry date | Feb 24, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/16
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A remote server computing system is configured to deploy a cloud-service-managed control plane and a cloud service data plane spanning the remote server computing system, a local edge computing device, and a local on-premises computing device connected in a hybrid cloud environment. Energy-related training data is received including a plurality of energy-related training data pairs. A machine learning function is trained using the plurality of training data pairs to predict a classified label for restricted energy-related data that is not accessible to the remote server computing system. The trained machine learning function is deployed to the one or more of the local edge computing device and the local on-premises computing device via the cloud service data plane. The remote server computing system is further configured to receive, via the cloud service data plane, classified output of the trained machine learning function.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.