Workload adaptive cloud computing resource allocation
US8793381B2 · kind B2 · utility
11Cited by
7References
14Claims
0Family size
Assignee
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Key dates
| Filing date | Jun 26, 2012 |
| Grant date | Jul 29, 2014 |
| Priority date | — |
| Expiry date | Jan 15, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F9/5083
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A workload associated with a task is assessed with respect to each of a plurality of computing paradigms offered by a cloud computing environment. Adaptive learning is employed by maintaining a table of Q-values corresponding to the computing paradigms and the workload is distributed according to a ratio of Q-values. The Q-values may be adjusted responsive to a performance metric and/or a value, reward, and/or decay function. The workload is then assigned to available computing paradigms to be performed with improved utilization of resources.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.