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Proceedings Paper

A novel approach to estimating Hurst parameter for self-similar traffic
Author(s): Di Zhang; Min Zhang; Peida Ye
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Paper Abstract

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.

Paper Details

Date Published: 6 December 2005
PDF: 5 pages
Proc. SPIE 6022, Network Architectures, Management, and Applications III, 602216 (6 December 2005); doi: 10.1117/12.635748
Show Author Affiliations
Di Zhang, Beijing Univ. of Posts and Telecommunications (China)
Min Zhang, Beijing Univ. of Posts and Telecommunications (China)
Peida Ye, Beijing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 6022:
Network Architectures, Management, and Applications III
Kwok-wai Cheung; Gee-Kung Chang; Guangcheng Li; Ken-Ichi Sato, Editor(s)

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