Research on Self-Similarity Network Traffic Modeling

被引：0
|
作者：
Zhang, Yu [1 ]
Yin, Tengfei [2 ]
机构：
[1] North China Univ Water Conservancy & Elect Power, Sch Math & Informat Sci, Zhengzhou, Peoples R China
[2] Sany Germany GMBH, German Res Inst, Changsha, Peoples R China
来源：
MECHANICAL AND AEROSPACE ENGINEERING, PTS 1-7 | 2012年 / 110-116卷
关键词：
self-similar; network volume; Model;
D O I：
10.4028/www.scientific.net/AMM.110-116.2859
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
This paper introduces the phenomenon of self-similar network, and then it gives the mathematical definition of self-similar and analysis for the network performance. Based on this, this paper puts forward a new mapping model of ON / OFF and the chaotic mapping model based on the ideas. The model simplifies the chaotic mapping function mapping model by choosing a random variable with a linear piecewise function. The model length is subject to the state heavy-tailed. This model can capture network traffic self-similarity.
引用
收藏
页码：2859 / +
页数：2
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