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Proceedings Paper

Traffic characterization using wavelet-based techniques
Author(s): David Boulliant; Parag Pruthi; Adrian Popescu
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Paper Abstract

Study of long-range dependence (LRD) properties in real traffic has received an increasing attention in traffic analysis. A wavelet-based tool for the analysis of LRD is presented in this paper together with a semi-parametric estimator of the Hurst parameter. The estimator has been proved to be unbiased under very general conditions and efficient under Gaussian assumptions. Analysis of the Bellcore Ethernet traces as well as some VBR video traces using the wavelet-based estimator is reported.

Paper Details

Date Published: 7 October 1998
PDF: 10 pages
Proc. SPIE 3530, Performance and Control of Network Systems II, (7 October 1998); doi: 10.1117/12.325881
Show Author Affiliations
David Boulliant, Univ. of Karlskrona/Ronneby (Sweden)
Parag Pruthi, Univ. of Karlskrona/Ronneby (Sweden)
Adrian Popescu, Univ. of Karlskrona/Ronneby (Sweden)


Published in SPIE Proceedings Vol. 3530:
Performance and Control of Network Systems II
Wai Sum Lai; Robert B. Cooper, Editor(s)

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