Hidden Anomaly Detection in Telecommunication Networks

Anne Bouillard 1, 2, 3 Aurore Junier 4 Benoî Ronot 5
1 TREC - Theory of networks and communications
DI-ENS - Département d'informatique de l'École normale supérieure, ENS Paris - École normale supérieure - Paris, Inria Paris-Rocquencourt
4 DISTRIBCOM - Distributed and Iterative Algorithms for the Management of Telecommunications Systems
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : 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
Type de document :
Communication dans un congrès
CNSM - 8th international conference on Network and Service Management, Oct 2012, Las Vegas, United States. 2012
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https://hal.inria.fr/hal-00780069
Contributeur : Anne Bouillard <>
Soumis le : mercredi 23 janvier 2013 - 10:17:00
Dernière modification le : jeudi 11 janvier 2018 - 06:20:08

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  • HAL Id : hal-00780069, version 1

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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. 2012. 〈hal-00780069〉

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