Scalable artificial intelligence driven configuration management
US10496396B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 20, 2018 |
| Grant date | Dec 3, 2019 |
| Priority date | — |
| Expiry date | Jul 20, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are described herein for scalable clustering of target resources by parameter set. In some embodiments, a plurality of parameter sets of varying length are received, where a parameter set identifies attributes of a target resource. A plurality of signature vectors are generated based on the plurality of parameter sets such that the signature vectors have equal lengths. A signature vector may map to one or more parameter sets of the plurality of parameter sets. A plurality of clusters are generated based on the similarity between signature vectors. Operations may be performed on a target resource based on one or more nodes in the plurality of clusters.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.