System operational analytics using normalized likelihood scores
US10705940B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 28, 2018 |
| Grant date | Jul 7, 2020 |
| Priority date | — |
| Expiry date | Jan 20, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2201/88
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are provided for system operational analytics using normalized likelihood scores. In one embodiment, an exemplary method comprises: obtaining data from data sources associated with a monitored system; applying at least one function to the log data to obtain a plurality of time-series counters for a plurality of distinct features within the data; processing the plurality of time-series counters using at least one machine learning model to obtain a plurality of log likelihood values representing a behavior of the monitored system over time; determining a z-score for each of the plurality of log likelihood values over a predefined short-term time window; monitoring a distribution of the z-scores for the plurality of log likelihood values over a predefined long-term time window to map the z-scores to percentile values; and mapping the percentile values to a health score for the monitored system based on predefined percentile ranges and/or a transformation function.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.