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Detecting Events in the Dynamics of Ego-centered Measurements of the Internet Topology
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
Cited literature [27 references]
https://hal.inria.fr/inria-00492055
Contributor : Service Ist Inria Sophia Antipolis-Méditerranée / I3s <>
Submitted on : Tuesday, June 15, 2010 - 12:18:55 AM
Last modification on : Friday, January 8, 2021 - 5:32:05 PM
Long-term archiving on: : Wednesday, September 15, 2010 - 8:26:08 PM
Contributor : Service Ist Inria Sophia Antipolis-Méditerranée / I3s <>
Submitted on : Tuesday, June 15, 2010 - 12:18:55 AM
Last modification on : Friday, January 8, 2021 - 5:32:05 PM
Long-term archiving on: : Wednesday, September 15, 2010 - 8:26:08 PM
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p491-hamzaoui.pdf
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