Techniques for modifying cluster computing environments
US11609794B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 10, 2020 |
| Grant date | Mar 21, 2023 |
| Priority date | — |
| Expiry date | Dec 17, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/1059
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, devices, and methods discussed herein are directed to intelligently adjusting the set of worker nodes within a computing cluster. By way of example, a computing device (or service) may monitor performance metrics of a set of worker nodes of a computing cluster. When a performance metric is detected that is below a performance threshold, the computing device may perform a first adjustment (e.g., an increase or decrease) to the number of nodes in the cluster. Training data may be obtained based at least in part on the first adjustment and utilized with supervised learning techniques to train a machine-learning model to predict future performance changes in the cluster. Subsequent performance metrics and/or cluster metadata may be provided to the machine-learning model to obtain output indicating a predicted performance change. An additional adjustment to the number of worker nodes may be performed based at least in part on the output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.