A novel approach to estimating Hurst parameter for self-similar traffic - art. no. 602216

被引：0

作者：

Zhang, D ^{[1
]}

Zhang, M ^{[1
]}

Ye, PD ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Minist Educ, Key Lab Opt Commun & Lightwave Technol, Beijing 100876, Peoples R China

来源：

Network Architectures, Management, and Applications III, Pts 1 and 2 | 2005年 / 6022卷

关键词：

Hurst parameter; index of dispersion for counts; self-similarity;

D O I：

10.1117/12.635748

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

A variety of traffics from different communications networks have been demonstrated to show the self-similarity. A novel method to estimate the degree of self-similarity based on the index of dispersion for counts, a second-order statistic, is proposed in this paper. Its principle is introduced in brief and validation is made in detail on the basis of two self-similar process models, Sup_FRP and FBNDP. Qualification and comparison show that the method possesses simpler algorithm than the wavelet-based estimator and that it exhibits higher accuracy and reliability than the R/S estimator and the Variance-time analysis.

引用

页码：2216 / 2216

页数：5

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