Long-range distributed resource planning using workload modeling in hyperconverged computing clusters
US10489215B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 2, 2016 |
| Grant date | Nov 26, 2019 |
| Priority date | — |
| Expiry date | May 16, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/1012
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Systems for computing cluster management. One embodiment commences upon receiving a set of observed workload parameters corresponding to one or more observable workloads that run in a computing cluster. While the workloads are running, workload stimulus and cluster response observations are taken and used to generate a workload resource usage predictive model based on mappings or correlations between the observable workloads parameters and observed resource usage measurements. A set of planned workloads are applied to the workload resource usage predictive model to predict a set of corresponding predicted resource usage demands. The predicted resource usage demands are then mapped to a set of recommended hardware to form resource deployment recommendations that satisfy at least some of the corresponding resource usage demands while also observing a set of hardware model compatibility constraints. The resource deployment recommendations that satisfy the set of hardware model compatibility constraints are displayed in a user interface.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.