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Traffic modeling for communications networks: A multifractal approach based on few parameters
Journal of the Franklin Institute ( IF 3.7 ) Pub Date : 2020-12-18 , DOI: 10.1016/j.jfranklin.2020.12.015
Maykon Renan P. da Silva , Flávio Geraldo C. Rocha

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, called 2PEMV. The 2PEMV model (2-Parameter Exponential Modeling for Multipliers’ Variance) is based on a multiplicative cascade in the wavelet domain capable of synthesizing communication network traffic traces which present characteristics such as self-similarity and wide Multifractal Spectrum Width (MSW). For such a purpose, in the 2PEMV 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 2PEMV model to represent the network traffic characteristics is evaluated in comparison to other models present in the literature through simulations that are carried out using real communication network traffic traces.



中文翻译:

通信网络的流量建模:基于少量参数的多重分形方法

在这项工作中,为了对网络流量过程进行建模,提出了一种有效的多重分形模型,该模型基于比文献中存在的称为2PEMV的其他模型更少的参数。2PEMV模型(乘数方差的2参数指数建模)基于小波域中的乘法级联,该级联能够合成具有自相似性和宽分形谱宽度(MSW)等特征的通信网络流量轨迹。为此,在2PEMV模型中,小波系数的能量衰减是通过对乘数沿级联尺度的方差进行指数建模来捕获的。

更新日期:2021-02-11
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