Method and system for analyzing and predicting the performance of computer network using time series measurements
US7280988B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 19, 2002 |
| Grant date | Oct 9, 2007 |
| Priority date | — |
| Expiry date | Apr 11, 2024 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2201/81
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A monitoring system including a baseline model that automatically captures and models normal system behavior, a correlation model that employs multivariate autoregression analysis to detect abnormal system behavior, and an alarm service that weights and scores a variety of alerts to determine an alarm status and implement appropriate response actions. The baseline model decomposes the input variables into a number of components representing relatively predictable behaviors so that the erratic component e(t) may be isolated for further processing. These components include a global trend component, a cyclical component, and a seasonal component. Modeling and continually updating these components separately permits a more accurate identification of the erratic component of the input variable, which typically reflects abnormal patterns when they occur.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.