Queueing analysis of network traffic:: methodology and visualization tools

被引:19
|
作者
Rolls, DA [1 ]
Michailidis, G
Hernández-Campos, F
机构
[1] Univ N Carolina, Dept Math & Stat, Wilmington, NC 28403 USA
[2] Univ Michigan, Dept Stat, Ann Arbor, MI 48109 USA
[3] Univ N Carolina, Dept Comp Sci, Chapel Hill, NC 27599 USA
基金
美国国家科学基金会;
关键词
trace-driven queueing; queueing simulation; long-range dependence; visualization tools;
D O I
10.1016/j.comnet.2004.11.016
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper we provide a framework for analyzing network traffic traces through trace-driven queueing. We also introduce several queueing metrics together with the associated visualization tools (some novel) that provide insight into the traffic features and facilitate comparisons between traces. Some techniques for non-stationary data are discussed. Applying our framework to both real and synthetic traces we (i) illustrate how to compare traces using trace-driven queueing, and (ii) show that traces that look "similar" under various statistical measures (such as the Hurst index) can exhibit rather different behavior under queueing simulation. (c) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:447 / 473
页数:27
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