Non-deterministic event correlation based on c-f model

Authors:
Qiuhua Zheng;Yuntao Qian;Min Yao
Affiliations:
,Computation Intelligence Research Laboratory, College of Computer Science, Zhejiang University, Hangzhou, Zhejiang Province, China;,Computation Intelligence Research Laboratory, College of Computer Science, Zhejiang University, Hangzhou, Zhejiang Province, China;Computation Intelligence Research Laboratory, College of Computer Science, Zhejiang University, Hangzhou, Zhejiang Province, China
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Year:
2005

Citing 3
Cited 0

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Probabilistic fault diagnosis in communication systems through incremental hypothesis updating

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High speed and robust event correlation

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Abstract

This paper proposes a non-deterministic event correlation technique for diagnosis problem of end-to-end service in network, which uses an event –fault model based on path domain of events. The technique utilizes a refined heuristic approach to create and update fault hypotheses that can explain these events received by system, and computes these hypotheses' belief by C-F model method. The result of event correlation is the hypothesis with maximum belief. Simulation shows this approach can get a high accuracy even in the case of low observability events ratio.