Performance Evaluation of DiffServ Networks Considering Self-Similar Traffic Characteristics 


Vol. 33,  No. 5, pp. 344-355, May  2008


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  Abstract

In this paper, we are dealing with the problems of performance evaluation of Differentiated Services(DiffServ) networks. For successful performance evaluation, the ability to accurately represent "real" traffic on the network by suitable traffic models is an essential ingredient. Many research results on the nature of real traffic measurements demonstrated LRD(long-range dependence) property for the Internet traffic including Web, TELNET, and P2P traffic. The LRD can be effectively represented by self-similarity. In this paper, we design and implement self-similar traffic generator using the aggregated On/Off source model, based on the analysis of the On-Off source model, FFT-FGN(Fast Fourier Transform-Fractional Gaussian Noise) model, and RMD(Random Midpoint Displacement) model. We confirmed the self-similarity of our generated traffic by checking the packet inter-arrival time of TCPdump data. Further we applied the implemented traffic generator to the performance evaluation of DiffServ networks and observed the effect of performance to the α value of the On/Off model, and performance of EF/BE class traffic by CBQ.

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  Cite this article

[IEEE Style]

J. Park and Y. Jeon, "Performance Evaluation of DiffServ Networks Considering Self-Similar Traffic Characteristics," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 5, pp. 344-355, 2008. DOI: .

[ACM Style]

Jeong-Sook Park and Yong-Hee Jeon. 2008. Performance Evaluation of DiffServ Networks Considering Self-Similar Traffic Characteristics. The Journal of Korean Institute of Communications and Information Sciences, 33, 5, (2008), 344-355. DOI: .

[KICS Style]

Jeong-Sook Park and Yong-Hee Jeon, "Performance Evaluation of DiffServ Networks Considering Self-Similar Traffic Characteristics," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 5, pp. 344-355, 5. 2008.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880