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A New Measuring and Fitting Approach to a Hierarchical MMPP Traffic Modeling

机译:分层MMPP流量建模的新度量和拟合方法

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摘要

This paper firstly reviews Long Range-Dependence (LRD) ..self-similarity and scaling in network traffic traces. After remarking on several hierarchical MMPP models, we focus on a promising model. We search intrinsic orderliness and obtain approximate relations in the measured traffic trace by the AV estimator. Then, the paper gives a more accurate fitting approach for model parameters through interactive self-study method, which exploits two-level matches and shows its good efficiency. Finally some conclusions are given.
机译:本文首先回顾了网络流量跟踪中的长距离依赖(LRD)..自相似性和缩放。在介绍了几种分层MMPP模型后,我们将重点放在有前途的模型上。我们搜索内在的有序性,并通过AV估计器获得所测交通轨迹中的近似关系。然后,本文通过交互式自学习方法给出了一种更准确的模型参数拟合方法,该方法利用了两级匹配,并显示了良好的效率。最后给出了一些结论。

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