Comparing node states to detect anomalies
US9071535B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 3, 2013 |
| Grant date | Jun 30, 2015 |
| Priority date | — |
| Expiry date | Sep 30, 2033 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/0886
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and computer storage media for detecting anomalies within nodes of a data center are provided. A self-learning system is employed to proactively and automatically detect the anomalies using one or more locally hosted agents for pulling information that describes states of a plurality of nodes (e.g., computing devices of a cloud-computing infrastructure), respectively, and using at least one early-warning mechanism for implementing a comparison technique. The comparison technique involves individually comparing the state information of the plurality of the nodes against one another and, based upon the comparison, grouping one or more nodes of the plurality of nodes into clusters that exhibit substantially similar state information. Upon identifying the clusters that include low number of nodes grouped therein, with respect to a remainder of the clusters of nodes, the members of the identified clusters are designated as anomalous machines.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.