Analysis and modeling of a campus wireless network TCP/IP traffic

被引：15

作者：

Lee, Ian W. C. ^{[1
]}

Fapojuwo, Abraham O. ^{[1
]}

机构：

[1] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB T2N 1N4, Canada

来源：

COMPUTER NETWORKS | 2009年 / 53卷 / 15期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Wireless TCP; Long-range dependence; Multifractals; Cascades; IP; Heavy-tailed distribution; RANGE; CONNECTIONS; TAIL;

D O I：

10.1016/j.comnet.2009.06.002

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 analyzed and modeled wireless TCP/IP traffic. Specifically, we focused on the interarrival times of TCP flows and the number of packets within a flow. We show that the marginal distribution of the flow interarrival times is piecewise Weibull distributed. Second and higher order statistics show that the flow interarrival times are long-range dependent and exhibit multifractal scaling. Taking these higher order properties into consideration, we proposed a multinomial canonical cascade with 3 stages to model the flow interarrival times. Looking at the IP layer, we find that the number of packets in a flow is heavy-tailed distributed. Especially interesting is that in 2 of our data sets, the number of packets in a flow possesses infinite mean. The interairrival time of packets within a flow is highly correlated, bursty, and its statistical characteristics vary from flow to flow. (C) 2009 Published by Elsevier B.V.

引用

页码：2674 / 2687

页数：14

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