Hidden Anomaly Detection in Telecommunication Networks - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2012

Hidden Anomaly Detection in Telecommunication Networks

Résumé

Nowadays one of the challenges of telecommunication systems management is to detect in real-time unexpected or hidden malfunctions in extremely complex environments. In this article, we present an on-line algorithm that performs a flow of messages analysis. More precisely, it is able to highlight hidden abnormal behaviors that existing network management methods would not detect. Our algorithm uses the notion of constraint curves, introduced in the Network Calculus theory, defining successive time windows that bound the flow
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Dates et versions

hal-00780069 , version 1 (23-01-2013)

Identifiants

  • HAL Id : hal-00780069 , version 1

Citer

Anne Bouillard, Aurore Junier, Benoî Ronot. Hidden Anomaly Detection in Telecommunication Networks. CNSM - 8th international conference on Network and Service Management, Oct 2012, Las Vegas, United States. ⟨hal-00780069⟩
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