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Performance Evaluation
Volume 65, Issue 2, February 2008, Pages 181-202
 
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doi:10.1016/j.peva.2007.05.003    
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Copyright © 2007 Elsevier Ltd All rights reserved.

An efficient technique to analyze the impact of bursty TCP traffic in wide-area networksstar, open

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Michele Garettoa, Corresponding Author Contact Information, E-mail The Corresponding Author and Don Towsleyb, E-mail The Corresponding Author

aComputer Science Department, University of Torino, Italy

bComputer Science Department, University of Massachusetts, Amherst, MA, United States


Received 22 December 2005; 
revised 1 September 2006; 
accepted 25 May 2007. 
Available online 2 June 2007.

Abstract

In this paper we describe an analytical technique for the performance evaluation of wide-area networks carrying realistic TCP traffic, such as that produced by a large number of finite-sized connections transferring files whose sizes are taken from a long-tail distribution. The analytical predictions are validated against detailed simulation experiments, and prove to be accurate and robust under a variety of operating conditions. The model also provides original insights into the impact on the network of long-tail flow length distributions, and allows the effectiveness of “TCP pacing” in reducing the traffic burstiness to be evaluated analytically. Our contribution is a performance evaluation methodology that could be usefully employed in network dimensioning and engineering.

Keywords: TCP; Traffic burstiness; Network performance; Markovian models; Queueing analysis

Article Outline

1. Introduction
2. Open-loop analysis
2.1. TCP model
2.2. Queue behavior and the effect of TCP pacing
2.3. Extension to generic long-tail flow length distributions
3. Closed-loop analysis
3.1. Computation of packet loss probabilities
3.2. Fixed point approximation
3.3. Model validation
4. Extension to multibottleneck topologies
5. Conclusion
Appendix A. Insensitivity of the geometric behavior of the queue length distribution
Appendix B. Proof of Proposition 1
Appendix C. Proof of Proposition 2
References
Vitae


















star, openAn extended version of the paper “Modeling, Simulation and Measurements of Queuing Delay under Long-tail Internet Traffic”, that appeared at ACM SIGMETRICS ’03, San Diego, CA, June 2003.


Corresponding Author Contact InformationCorresponding address: Dipartimento di Informatica, Universita’ di Torino, Corso Svizzera 185, 10149 Torino, Italy. Tel.: +39 0116706844; fax: +39 011751603.

Performance Evaluation
Volume 65, Issue 2, February 2008, Pages 181-202
 
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