A Long Range Dependent Internet Traffic Model Using Unbounded Johnson Distribution

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概要

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• It is important to characterize the distributional property and the long-range dependency of traffic arrival processes in modeling Internet traffic. To address this problem, we propose a long-range dependent traffic model using the unbounded Johnson distribution. Using the proposed model, a sequence of traffic rates with the desired four quantiles and Hurst parameter can be generated. Numerical studies show how well the sequence of traffic rates generated by the proposed model mimics that of the real traffic rates using a publicly available Internet traffic trace.

著者

• NAM Seung

  Department of Information and Communication Engineering, Yeungnam Universit

• KIM Sunggon

  Department of Statistics, University of Seoul

関連論文

• A Long Range Dependent Internet Traffic Model Using Unbounded Johnson Distribution

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