Automated health model generation and refinement
US7962797B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 20, 2009 |
| Grant date | Jun 14, 2011 |
| Priority date | — |
| Expiry date | Dec 15, 2029 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L43/0888
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The present invention extends to methods, systems, and computer program products for automatically generating and refining health models. Embodiments of the invention use machine learning tools to analyze historical telemetry data from a server deployment. The tools output fingerprints, for example, small groupings of specific metrics-plus-behavioral parameters, that uniquely identify and describe past problem events mined from the historical data. Embodiments automatically translate the fingerprints into health models that can be directly applied to monitoring the running system. Fully-automated feedback loops for identifying past problems and giving advance notice as those problems emerge in the future is facilitated without any operator intervention. In some embodiments, a single portion of expert knowledge, for example, Key Performance Indicator (KPI) data, initiates health model generation. Once initiated, the feedback loop can be fully automated to access further telemetry and refine health models based on the further telemetry.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.