Research on Self-Similarity Network Traffic Modeling

Abstract:

Article Preview

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:

Edited by:

Wu Fan

Pages:

2859-2865

DOI:

10.4028/www.scientific.net/AMM.110-116.2859

Citation:

Y. Zhang and 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

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.