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A New Network Traffic Modeling Based in Conservative Multiplicative Cascade with Weights Newton Binomial

机译:基于加权牛顿二项式的守恒乘积级联的网络流量建模。

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摘要

In order to robustly characterize today's network traffic, a new multifractal theory based multiplicative cascade traffic model is proposed. The proposed multiplicative cascade traffic model is conservative in measure with its multiplier weights determined by Binomial Newton expansions. We also derive some major statistical characteristics of this new cascade process enabling generation of synthetic traffic used for traffic model validation and simulation purposes. Experimental investigation results have shown that the proposed model is promising in robust and accurate traffic characterization and modeling for both real wired and wireless traffic outperforming three well-known multifractal models in the literature.
机译:为了可靠地描述当今的网络流量,提出了一种基于多重分形理论的乘积级联流量模型。所提出的乘积级联交通模型在度量上是保守的,其乘数权重由二项式牛顿展开确定。我们还获得了这种新的级联过程的一些主要统计特征,从而能够生成用于交通模型验证和仿真目的的综合交通。实验研究结果表明,所提出的模型对于实际有线和无线通信量的鲁棒和准确的通信量表征和建模具有良好的前景,其性能优于文献中的三个著名的多重分形模型。

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