Schemes for fault identification in communication networks
IEEE/ACM Transactions on Networking (TON)
A coding approach to event correlation
Proceedings of the fourth international symposium on Integrated network management IV
Probabilistic fault diagnosis in communication systems through incremental hypothesis updating
Computer Networks: The International Journal of Computer and Telecommunications Networking
High speed and robust event correlation
IEEE Communications Magazine
A network event correlation algorithm based on fault filtration
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
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This paper proposes a new event correlation technique, which integrates the increment hypothesis updating (IHU) technique with the codebook approach. The technique allows multiple simultaneous independent faults to be identified when the system’s codebook only includes the codes of the single fault and lacks the information of prior fault probability and the conditional probability of fault lead to symptoms occur. The method utilizes the refined IHU technique to create and update fault hypotheses that can explain these events, and ranks these hypotheses by the codebook approach. The result of event correlation is the hypothesis with maximum hamming distance to the code of the received events. Simulation shows that this approach can get a high accuracy and a fast speed of correlation even if the network has event loss and spuriousness.