In this paper we describe an analytical approach for estimating the queuing delay distribution on an Internet link carrying realistic TCP traffic, such as that produced by a large number of finite-size connections transferring files whose sizes are taken from a long-tail distribution. The analytical predictions are validated against detailed simulation experiments and real network measurements. Despite its simplicity, our model proves to be accurate and robust under a variety of operating conditions, and offers novel insights into the impact on the network of long-tail flow length distributions. Our contribution is a performance evaluation methodology that could be usefully employed in network dimensioning and engineering.

Modeling, simulation and measurements of queuing delay under long-tail internet traffic

GARETTO, MICHELE;
2003-01-01

Abstract

In this paper we describe an analytical approach for estimating the queuing delay distribution on an Internet link carrying realistic TCP traffic, such as that produced by a large number of finite-size connections transferring files whose sizes are taken from a long-tail distribution. The analytical predictions are validated against detailed simulation experiments and real network measurements. Despite its simplicity, our model proves to be accurate and robust under a variety of operating conditions, and offers novel insights into the impact on the network of long-tail flow length distributions. Our contribution is a performance evaluation methodology that could be usefully employed in network dimensioning and engineering.
2003
ACM SIGMETRICS 2003
San Diego, CA, USA
9-14 June 2003
Proceedings of the International Conference on Measurements and Modeling of Computer Systems, SIGMETRICS 2003
ACM
1
47
57
9781581136647
M. GARETTO; TOWSLEY D.F
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/18069
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