Method and system for automatic real-time causality analysis of end user impacting system anomalies using causality rules and topological understanding of the system to effectively filter relevant monitoring data
US10977154B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 23, 2019 |
| Grant date | Apr 13, 2021 |
| Priority date | — |
| Expiry date | Nov 5, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2201/87
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method is disclosed for the automated identification of causal relationships between a selected set of trigger events and observed abnormal conditions in a monitored computer system. On the detection of a trigger event, a focused, recursive search for recorded abnormalities in reported measurement data, topological changes or transaction load is started to identify operating conditions that explain the trigger event. The system also receives topology data from deployed agents which is used to create and maintain a topological model of the monitored system. The topological model is used to restrict the search for causal explanations of the trigger event to elements of that have a connection or interact with the element on which the trigger event occurred. This assures that only monitoring data of elements is considered that are potentially involved in the causal chain of events that led to the trigger event.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.