Method and system that anticipates deleterious virtual-machine state changes within a virtualization layer
US9378044B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 16, 2015 |
| Grant date | Jun 28, 2016 |
| Priority date | — |
| Expiry date | Jun 16, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2009/4557
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The current document is directed to a machine-learning-based subsystem, included within a virtualization layer, that learns, over time, how to accurately predict operational characteristics for the virtual machines executing within the virtual execution environment provided by the virtualization layer that result from changes to the states of the virtual machines. When the virtualization layer receives requests that, if satisfied, would result in a change of the state of one or more virtual machines, the virtualization layer uses operational characteristics predicted by the machine-learning-based subsystem from virtual-machine resource-allocation states that would obtain by satisfying the requests. When the predicted operational characteristics are indicative of potential non-optimality, instability, or unpredictability of virtualized-computer-system operation, the virtualization layer anticipates a deleterious state change and undertakes preventative measures.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.