Traffic characterization using wavelet-based techniques

David Boulliant; Parag Pruthi; Adrian Popescu

doi:10.1117/12.325881

7 October 1998 Traffic characterization using wavelet-based techniques

David Boulliant, Parag Pruthi, Adrian Popescu

Proceedings Volume 3530, Performance and Control of Network Systems II; (1998) https://doi.org/10.1117/12.325881
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

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.

Citation Download Citation

David Boulliant, Parag Pruthi, and Adrian Popescu "Traffic characterization using wavelet-based techniques", Proc. SPIE 3530, Performance and Control of Network Systems II, (7 October 1998); https://doi.org/10.1117/12.325881

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