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

页码：2859 / +

页数：2

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