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Información tecnológica

versión On-line ISSN 0718-0764

Resumen

ALARCON-AQUINO, V.; GUERRERO-OJEDA, L.G.; RODRIGUEZ-ASOMOZA, J.  y  ROSAS-ROMERO, R.. Analysis of Self-similar Traffic in Communication Networks using Wavelets. Inf. tecnol. [online]. 2005, vol.16, n.2, pp.61-66. ISSN 0718-0764.  http://dx.doi.org/10.4067/S0718-07642005000200010.

This paper presents an analysis of self-similar (fractal) traffic in communication networks using wavelets. The aim of this work is to show the efficiency of the wavelet-based method for the analysis of self-similar processes, which posses similar statistical features over a long range of time scales. A comparative analysis of the estimated Hurst parameter using Daubechies wavelets in Ethernet and Internet traffic, are presented. The results reported in this paper show that the behavior of Ethernet traffic is asymptotically self-similar, while the Internet traffic shows behavior approximating short-range dependence. These results indicate that traffic models based on a self-similar nature are more suitable for modeling Ethernet traffic, while Poisson models may be used to model Internet traffic.

Palabras clave : wavelets; discrete wavelet transform; self-similar processes; Hurst parameter.

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