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Journal of Network and Systems Management

Erschienen in:

01.06.2006

Identifying Control and Management Plane Poison Message Failure by K-Nearest Neighbor Method

verfasst von: Xiaojiang Du

Erschienen in: Journal of Network and Systems Management | Ausgabe 2/2006

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Abstract

Poison message failure is a mechanism that has been responsible for large-scale failures in both telecommunications and IP networks. The poison message failure can propagate in the network and cause unstable network. In this paper, we apply machine learning, data mining technique in network fault management area. We use k-nearest neighbor method to identify the poison message failure. Also we integrate the k-nearest neighbor method with message filtering approach. We also propose a “probabilistic” k-nearest neighbor method that outputs a probability distribution (rather than the identity) of the poison message. Through extensive simulations, we show that k-nearest neighbor method is very effective in identifying the responsible message type.

Vorheriger Artikel Intelligent Network Provisioning for Dynamically Downloadable Applications in Beyond 3G Mobile Networks

Nächster Artikel Modeling and Evaluation of a Policy Provisioning Architecture for Mobile Ad-Hoc Networks

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Titel: Identifying Control and Management Plane Poison Message Failure by K-Nearest Neighbor Method
verfasst von: Xiaojiang Du
Publikationsdatum: 01.06.2006
Verlag: Springer US
Erschienen in: Journal of Network and Systems Management / Ausgabe 2/2006
Print ISSN: 1064-7570
Elektronische ISSN: 1573-7705
DOI: https://doi.org/10.1007/s10922-006-9027-8

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