Neural network model for predicting usage in a hyper-converged infrastructure
US12106203B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Jul 12, 2018 |
| Grant date | Oct 1, 2024 |
| Priority date | — |
| Expiry date | Feb 26, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for analyzing the usage of a set of workloads in a hyper-converged infrastructure are disclosed. A neural network model is trained based upon historical usage data of the set of workloads. The neural network model can make usage predictions of future demands on the set of workloads to minimize over-allocation or under-allocation of resources to the workloads.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.