Computer Science – Networking and Internet Architecture
Scientific paper
2009-02-10
Computer Science
Networking and Internet Architecture
Scientific paper
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 reliable 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.
Chabchoub Yousra
Fricker Christine
Guillemin Fabrice
Robert Philippe
No associations
LandOfFree
On the Statistical Characterization of Flows in Internet Traffic with Application to Sampling does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with On the Statistical Characterization of Flows in Internet Traffic with Application to Sampling, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On the Statistical Characterization of Flows in Internet Traffic with Application to Sampling will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-486726