Modelagem do Tráfego de Redes de Comunicações: Uma Abordagem Multifractal Baseada em Poucos Parâmetros

Maykon Renan Pereira da Silva, Flávio Geraldo Coelho Rocha

DOI: 10.14209/sbrt.2019.1570559045

Evento: XXXVII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2019)

Keywords: Self-Similarity Network Performance Multifractal Modeling Communication Networks Traffic

Abstract

In this work, in order to model network traffic processes, an efficient multifractal model is proposed based on fewer parameters than other models present in the literature. The MEV model (Exponential Modeling for the multipliers' Variance) is based on a multiplicative cascade in the wavelet domain capable of synthesizing communication networks traffic traces which present characteristics such as self-similarity and wide Multifractal Spectrum Width (MSW). For such a purpose, in the MEV model, the energy decay of the wavelet coefficients is captured by means of an exponential modeling for the multipliers' variance along the cascade scales. The performance of the MEV model to represent the networks traffic characteristics is evaluated in comparison to other models present in the literature. For such a purpose, real communication networks traffic traces are used.

Download