A new multifractal network traffic model |
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| Institution: | 1. Department of Computer Science and Engineering, Yuan Ze University, Taoyuan 320, Taiwan;2. Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan 320, Taiwan;3. Department of Electronic Engineering, National Taipei University of Technology, Taipei 106, Taiwan;1. Department of Automation, Tsinghua University, Beijing, China;2. Research Institute of Information Technology (RIIT), Tsinghua University, Beijing, China;3. Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing, China |
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| Abstract: | In this paper, a new multifractal traffic model to capture the multifractal nature of modern Internet traffic was developed. Employing the algorithm of network traffic analysis (binomial inverse cascade process) to analyze the multifractal feature of traffic data and adopting the algorithm of network traffic synthesis (binomial cascade process) to model the network traffic, this approach gave an easy and efficient way to infer the model parameters from the measured traffic traces. Moreover, the traffic was simulated and analyzed using obtained parameters. It was found that the simulated traffic data were in a close fit to the real trace statistics. The analysis results showed that this model could capture the real network traffic very well. |
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