DMCA
Experimental Queueing Analysis with Long-Range Dependent Packet Traffic (1996)
| Venue: | IEEE/ACM Transactions on Networking |
| Citations: | 346 - 14 self |
BibTeX
@ARTICLE{Erramilli96experimentalqueueing,
author = {Ashok Erramilli and Onuttom Narayan and Walter Willinger},
title = {Experimental Queueing Analysis with Long-Range Dependent Packet Traffic},
journal = {IEEE/ACM Transactions on Networking},
year = {1996},
volume = {4},
pages = {209--223}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Recent traffic measurement studies from a wide range of working packet networks have convincingly established the presence of significant statistical features that are characteristic of fractal traffic processes, in the sense that these features span many time scales. Of particular interest in packet traffic modeling is a property called long-range dependence, which is marked by the presence of correlations that can extend over many time scales. In this paper, we demonstrate empirically that, beyond its statistical significance in traffic measurements, long-range dependence has considerable impact on queueing performance, and is a dominant characteristic for a number of packet traffic engineering problems. In addition, we give conditions under which the use of compact and simple traffic models that incorporate long-range dependence in a parsimonious manner (e.g., fractional Brownian motion) is justified and can lead to new insights into the traffic management of high-speed networks. 1...
Keyphrases
long-range dependent packet traffic many time scale long-range dependence incorporate long-range dependence traffic measurement traffic management wide range statistical significance high-speed network simple traffic model packet traffic engineering problem fractional brownian motion new insight dominant characteristic parsimonious manner fractal traffic process recent traffic measurement study packet traffic modeling particular interest significant statistical feature packet network considerable impact
