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

         

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.

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