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COMCOM
2010

On the statistical characterization of flows in Internet traffic with application to sampling

8 years 10 months ago
On the statistical characterization of flows in Internet traffic with application to sampling
A new method of estimating some statistical characteristics of TCP flows in the Internet is developed in this paper. For this purpose, a new set of random variables (referred to as observables) is defined. When dealing with sampled traffic, these observables can easily be computed from sampled data. By adopting a convenient mouse/elephant dichotomy also dependent on traffic, it is shown how these variables give a fair statistical representation of the number of packets transmitted by large flows during successive time intervals with an appropriate duration. A mathematical framework is developed to estimate the accuracy of the method. As an application, it is shown how one can estimate the number of large TCP flows when only sampled traffic is available. The algorithm proposed is tested against experimental data collected from different types of IP networks. Contents
Yousra Chabchoub, Christine Fricker, Fabrice Guill
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2010
Where COMCOM
Authors Yousra Chabchoub, Christine Fricker, Fabrice Guillemin, Philippe Robert
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