Heterogeneous auto-scaling big-data clusters in the cloud
US10606664B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 7, 2017 |
| Grant date | Mar 31, 2020 |
| Priority date | — |
| Expiry date | Dec 17, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F9/505
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention is generally directed to systems and methods of provisioning and using heterogeneous clusters in a cloud-based big data system, the heterogeneous clusters made up of primary instance types and different types of instances, the method including: determining if there are composition requirements of any heterogeneous cluster, the composition requirements defining instance types permitted for use; determining if any of the permitted different types of instances are required or advantageous for use; determining an amount of different types of instances to utilize, this determination based at least in part on an instance weight; provisioning the heterogeneous cluster comprising both primary instances and permitted different types of instances.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.