<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The conventional network traffic flow models are mostly based on Poisson model. With the continuous development of network services, studies found that the actual network traffic has a long-range dependence (LRD) now and in a very long time, which is a kind of self-similarity. In this paper, RMD and Fourier algorithm were adopted to simulate and analyze a self-similar model of FGN. They generated the necessary sequence of self-similar traffic. Then the article uses R/S method to verify H value of the generated sequence of self-similar traffic in order to verify the self-similarity of the self-similar traffic sequence. The existence of self-similarity is verified by experiments, and the advantage and disadvantage of RMD and Fourier algorithm are analyzed.</p>
</abstract>

The conventional network traffic flow models are mostly based on Poisson model. With the continuous development of network services, studies found that the actual network traffic has a long-range dependence (LRD) now and in a very long time, which is a kind of self-similarity. In this paper, RMD and Fourier algorithm were adopted to simulate and analyze a self-similar model of FGN. They generated the necessary sequence of self-similar traffic. Then the article uses R/S method to verify H value of the generated sequence of self-similar traffic in order to verify the self-similarity of the self-similar traffic sequence. The existence of self-similarity is verified by experiments, and the advantage and disadvantage of RMD and Fourier algorithm are analyzed.

Simulation of Self-similarFlowBased on Fractal Gaussian Noise Method

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Simulation of Self-similarFlowBased on Fractal Gaussian Noise Method"}

The conventional network traffic flow models are mostly based on Poisson model. With the continuous development of network services, studies found that the...

Simulation of Self-similarFlowBased on Fractal Gaussian Noise Method

Data publikacji: 07 maj 2018

Zakres stron: 66 - 70

DOI: https://doi.org/10.21307/ijanmc-2018-043

© 2018 Li Jie et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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