METHOD AND SYSTEM FOR REDUCING FALSE ALARMS IN NETWORK FAULT MANAGEMENT SYSTEMS

Patent №

US 7,318,178

Granted

2008-01-08

Filed 2005

Owner

Lab

AI components

1

kr

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

11233928

Methods and systems are described for reducing the number of false alarms in fault correlation software used to detect and diagnose faults in computer networks and similar systems. The fault correlation software includes rules that monitor a number of indicators that, if occurring together over a window of time, are known to cause or reflect the occurrence of a fault. The method involves monitoring the transition of these indicators from one state to another over the time window and determining the extent of the correlation of the transitions of the indicators. The determination that indicators monitored by a rule do not correlate closely in their transitions is used to reduce the likelihood of the rule finding correlation of the indicators as a whole. This in turn reduces the number of false alarms which the rule-based system might otherwise have transmitted.

AI classification

Knowledge representation1.00
Planning0.40
Vision0.11
Machine learning0.03
Natural language0.02
AI hardware0.02
Speech0.00
Evolutionary computation0.00
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