A novel approach to estimating Hurst parameter for self-similar traffic

Di Zhang; Min Zhang; Peida Ye

doi:10.1117/12.635748

5 December 2005 A novel approach to estimating Hurst parameter for self-similar traffic

Di Zhang, Min Zhang, Peida Ye

Proceedings Volume 6022, Network Architectures, Management, and Applications III; 602216 (2005) https://doi.org/10.1117/12.635748
Event: Asia-Pacific Optical Communications, 2005, Shanghai, China

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.

Citation Download Citation

Di Zhang, Min Zhang, and Peida Ye "A novel approach to estimating Hurst parameter for self-similar traffic", Proc. SPIE 6022, Network Architectures, Management, and Applications III, 602216 (5 December 2005); https://doi.org/10.1117/12.635748

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