Automated learning of failure recovery policies
US8024611B1 · kind B1 · utility
9Cited by
8References
18Claims
0Family size
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Key dates
| Filing date | Feb 26, 2010 |
| Grant date | Sep 20, 2011 |
| Priority date | — |
| Expiry date | Feb 26, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/0709
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described is automated learning of failure recovery policies based upon existing information regarding previous policies and actions. A learning mechanism automatically constructs a new policy for controlling a recovery process, based upon collected observable interactions of an existing policy with the process. In one aspect, the learning mechanism builds a partially observable Markov decision process (POMDP) model, and computes the new policy base upon the learned model. The new policy may perform automatic fault recovery, e.g., on a machine in a datacenter corresponding to the controlled process.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.