Modeling and analysis of self-similar traffic source based on fractal-binomial-noise-driven Poisson process

中国邮电高校学报(英文)

Modeling and analysis of self-similar traffic source based on fractal-binomial-noise-driven Poisson process

收稿日期:2005-10-12 修回日期:1900-01-01 出版日期:2006-09-30

Modeling and analysis of self-similar traffic source based on fractal-binomial-noise-driven Poisson process

ZHANG Di, ZHANG Min, YE Pei-da

Key Laboratory of Optical Communications and Lightwave Technologies, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2005-10-12 Revised:1900-01-01 Online:2006-09-30
Contact: ZHANG Di

摘要/Abstract

关键词:

Abstract: This article explores the short-range dependence (SRD) and the long-range dependence (LRD) of self-similar traffic generated by the fractal-binomial-noise-driven Poisson process (FBNDP) model and lays emphasis on the former. By simulation, the SRD decaying trends with the increase of Hurst value and peak rate are obtained, respectively. After a comprehensive analysis of accuracy of self-similarity intensity, the optimal range of peak rate is determined by taking into account the time cost, the accuracy of self-similarity intensity, and the effect of SRD.

Key words: fractal-binomial-noise-driven Poisson process;short- range dependence;long-range dependence;self-similarity

中图分类号:

TN915.01

ZHANG Di, ZHANG Min, YE Pei-da. Modeling and analysis of self-similar traffic source based on fractal-binomial-noise-driven Poisson process[J]. Acta Metallurgica Sinica(English letters), doi: .

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Modeling and analysis of self-similar traffic source based on fractal-binomial-noise-driven Poisson process

Modeling and analysis of self-similar traffic source based on fractal-binomial-noise-driven Poisson process

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