On the Relevance of Long-Range Dependence in Network Traffic
Grossglauser, Matthias
Bolot, Jean-Chrysostome
Abstract
| There is mounting experimental evidence that network traffic
processes exhibit ubiquitous properties of self-similarity and long
range dependence (LRD), i.e. of correlations over a wide range of
time scales. However, there is still considerable debate about
how to model such processes and about their impact on network and
application performance. In this paper, we argue that much recent
modeling work has failed to consider the impact of two important
parameters, namely the finite range of time scales of interest in
performance evaluation and prediction problems, and the first-order
statistics such as the marginal distribution of the process.
|
Keywords
long range dependence
hurst
self similar
Notes
Related Papers
Bibtex
@misc{ grossglauser_lrd96,
author = "M. Grossglauser and J. Bolot",
title = "the relevance of long-range dependence in network traffic",
text = "M. Grossglauser and J-C. Bolot. On the relevance of long-range dependence
in network traffic. In Proc. ACM SIGCOMM '96, pages 15--24, 1996.",
year = "1996"
}