Abstract : Detecting events such as major routing changes or congestions in the dynamics of the internet topology is an important but challenging task. We explore here a top-down approach based on a notion of statistically significant events. It consists in identifying statistics which exhibit a homogeneous distribution with outliers, which correspond to events. We apply this approach to ego-centerd measurements of the internet topology (views obtained from a single monitor) and show that it succeeds in detecting meaningful events. Finally, we give some hints for the interpretation of such events in terms of network events
Type de document :
Communication dans un congrès
WiOpt'10: Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, May 2010, Avignon, France. pp.491-498, 2010
https://hal.inria.fr/inria-00492055
Contributeur : Service Ist Inria Sophia Antipolis-Méditerranée / I3s
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Soumis le : mardi 15 juin 2010 - 00:18:55
Dernière modification le : jeudi 22 novembre 2018 - 14:09:23
Document(s) archivé(s) le : mercredi 15 septembre 2010 - 20:26:08
Assia Hamzaoui, Matthieu Latapy, Clémence Magnien. Detecting Events in the Dynamics of Ego-centered Measurements of the Internet Topology. WiOpt'10: Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, May 2010, Avignon, France. pp.491-498, 2010. 〈inria-00492055〉
