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An Improved Modeling for Network Traffic Based on Alpha-Stable Self-similar Processes

机译:基于阿尔法稳定自相似过程的网络流量改进建模

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摘要

This paper produces an improved model based on alpha-stable processes. First, this paper introduces the basic of self-similarity, and then the reason why the alpha-stable processes have been used for self-similar network traffic modeling is given out; Second, the research in this field is advanced, and the paper analyzes the drawback of the S4 model, which is supported by the related mathematical proof and confirmations of experiments. In order to make up for the drawback of the S4 model andaccurately describe the varieties of the heavily tailed distributions, an improved network traffic model is proposed. By comparison with simulation data (including the S4 model and the improved model) and actual data, the advantage of the improved model has been demonstrated. In the end, the significance of the self-similar network traffic model has been put forward, and the future work is discussed.
机译:本文提出了一种基于alpha稳定过程的改进模型。首先,介绍了自相似性的基本原理,然后给出了将α稳定过程用于自相似网络流量建模的原因。其次,对该领域的研究进行了深入的研究,分析了S4模型的缺陷,并得到了相关的数学证明和实验证实。为了弥补S4模型的缺陷,准确描述重尾分布的种类,提出了一种改进的网络流量模型。通过与仿真数据(包括S4模型和改进模型)和实际数据进行比较,已证明了改进模型的优势。最后,提出了自相似网络流量模型的意义,并讨论了今后的工作。

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