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Conference Papers Year : 2010

Detecting Events in the Dynamics of Ego-centered Measurements of the Internet Topology

Assia Hamzaoui
  • Function : Author
Matthieu Latapy
Clémence Magnien

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
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Dates and versions

inria-00492055 , version 1 (15-06-2010)

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  • HAL Id : inria-00492055 , version 1

Cite

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. ⟨inria-00492055⟩
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