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SIGMETRICS
2009
ACM

Maximum likelihood estimation of the flow size distribution tail index from sampled packet data

9 years 10 months ago
Maximum likelihood estimation of the flow size distribution tail index from sampled packet data
In the context of network traffic analysis, we address the problem of estimating the tail index of flow (or more generally of any group) size distribution from the observation of a sampled population of packets (individuals). We give an exhaustive bibliography of the existing methods and show the relations between them. The main contribution of this work is then to propose a new method to estimate the tail index from sampled data, based on the resolution of the maximum likelihood problem. To assess the performance of our method, we present a full performance evaluation based on numerical simulations, and also on a real traffic trace corresponding to internet traffic recently acquired. Categories and Subject Descriptors C.2.3 [Computer-Communication Networks]: Network Operations—Network monitoring; G.3 [Probability and Statistics] General Terms Measurement, Theory Keywords Network Monitoring, Traffic Measurement, Heavy-Tailed Distribution, Packet Sampling, Maximum Likelihood Estimat...
Patrick Loiseau, Paulo Gonçalves, Sté
Added 28 May 2010
Updated 28 May 2010
Type Conference
Year 2009
Where SIGMETRICS
Authors Patrick Loiseau, Paulo Gonçalves, Stéphane Girard, Florence Forbes, Pascale Vicat-Blanc Primet
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