On the Relevance of Long-Range Dependence in Network Traffic by M. Glossglauser and J. Bolot

10/19/99


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Table of Contents

On the Relevance of Long-Range Dependence in Network Traffic by M. Glossglauser and J. Bolot

Motivations

A modulated fluid traffic model

Special case: Truncated Pareto distribution

Covariance

Compute loss rate

Numerical results (1)

Loss rate as a function of buffer size and cutoff time

Numerical results (2)

Loss rate as a function of Hurst and marginal distribution

Numerical results (3)

Loss rate as a function of marginal distribution and buffer size

Conclusion from numerical experiments

Conclusion of the paper

Author: Shudong Jin

Email: jins@cs.bu.edu

Home Page: http://www.cs.bu.edu/students/grads/jins/Home.html