Predicting data unavailability and data loss events in large database systems
US9489379B1 · kind B1 · utility
6Cited by
5References
20Claims
0Family size
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Key dates
| Filing date | Dec 20, 2012 |
| Grant date | Nov 8, 2016 |
| Priority date | — |
| Expiry date | Mar 16, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Data unavailability and data loss events in a large distributed database system are predicted by proactively and substantially continuously collecting information about appliance states and operations in the database system, forming feature vectors of prescribed key information features, and classifying said feature vectors as indicative of possible DU/DL events based upon their similarity and closeness to stored historical feature vectors known to be relevant to DU/DL events.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.