Machine learning system for workload failover in a converged infrastructure
US10990501B2 · kind B2 · utility
1Cited by
3References
20Claims
0Family size
Assignee
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Key dates
| Filing date | Feb 7, 2020 |
| Grant date | Apr 27, 2021 |
| Priority date | — |
| Expiry date | Feb 7, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/5096
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Systems and methods for analyzing a customer deployment in a converged or hyper-converged infrastructure are disclosed. A machine learning model is trained based upon historical usage data of other customer deployments. A k-means clustering is performed to generate a prediction as to whether a deployment is configured for optimal failover. Recommendations to improve failover performance can also be generated.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.