Paper Title:
Research on Self-Similarity Network Traffic Modeling
  Abstract

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.

  Info
Periodical
Chapter
Chapter 14: Modeling, Analysis, and Simulation of Manufacturing Processes
Edited by
Wu Fan
Pages
2859-2865
DOI
10.4028/www.scientific.net/AMM.110-116.2859
Citation
Y. Zhang, T. F. Yin, "Research on Self-Similarity Network Traffic Modeling", Applied Mechanics and Materials, Vols. 110-116, pp. 2859-2865, 2012
Online since
October 2011
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Price
$32.00
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