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Implementation and Performance Evaluation of Self-Similar Traffic Generator Using OPNET  

Han Kyeong-Eun (전북대학교 컴퓨터공학과)
Jung Kwang-Bon (포항공과대학교 컴퓨터공학과)
Lee Seung-Hyun (전북대학교 정보통신학과)
Kim Young-Chon (전북대학교 컴퓨터공학과)
Abstract
Recently, with the exponential growth of the number of Internet users, IP traffic which occupies more than 90 percent of the entire Internet traffic affects significantly to the performance of networks. Therefore, the design of the self-similar traffic generator reflected the feature of IP traffic is very important to design the networks efficiently and evaluate the performance of it correctly. In this paper, we design the self-similar traffic generator using OPNET. In order to implement the self-similar characteristics, ON-OFF sources with Pateto distribution are employed and aggregated. The designed self-similarity traffic generator is evaluated and verified with R/S plot, variance time(VT) plot under the various offered loads and the number of sources. It is expected that the designed self-similar traffic generator can be put to practical use when wire or wireless networks is designed and verified as well as it can be useful to decide the specific parameter value for Internet traffic modeling.
Keywords
Self-similarity; traffic generator; OPNET; self-similar traffic; IP traffic;
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1 P. Pruthi, 'Heavy-Taild ON/OFF Source Behavior and Self-Similar Traffic', ICC'95, 1995
2 R. Addie, M. Zukerman, T. Neam, 'Fractal traffic: measurements, modeling and performance evaluation,' IEEE INFOCOM'95, pp.977-984, 1995
3 Kihong Park, Gitae Kim, Mark Crovella, 'On the Effect of Traffic Self-Similarity on Network Performance,' http://citeseer.ist.psu.edu/88701.html
4 Thomas Karagiannis, Mart Molle, Michalis Faloutsos, 'Long-Range Dependence: Ten Years of Internet Traffic Modeling,' Internet Computing September/October 2004, Vol.8, pp.57-64   DOI   ScienceOn
5 S. McCreary, et.al., 'Trends in Wide Area IP Traffic Patterns,' Cooperative Association for Internet Data Analysis, http://www.caida.org
6 A. Adas, A. Mukherjee, 'On Resource Management and QoS Guarantees for long range dependent traffic,' IEEE INFOCOM'95, pp. 779-787, 1995
7 Glen Kramer, 'On generating self-similar traffic using pseudo-Pareto distribution,' Technical brief. http://wwwcsif.cs.ucdavis.edu/~kramer/publications
8 W. E. Leland, M. S. Taqqu, W. Willinger, D. V. Wilson, 'Self-Similarity Through High-Variability : Statistical Analysis of Ethernet LAN Traffic at the Source Level,' Networking, IEEE/ACM Transactions on, Vol. 5, pp. 71-86, Feb. 1997   DOI   ScienceOn
9 C. Huang, M. Devetsikiotis, I. Lambadaris, and A. Kaye., 'Modeling and Simulation of Self-similar Variable Bit Rate Compressed Video: A Unified Approach,' In Proc. ACM SIGCOMM'95, pp.114-125, 1995
10 J. M. BareIo, L. I. Cerda, J. Garcia, 'Conceptes fonameatals de xarxes de computadors. Un enfocament analitic,' http://people.ac.upc.es/joseb/CURSO_DOCT_Joseb_TM_SelfSim.pdf
11 Glen Kramer, 'Self-similar Network Traffic: the notion and effects of self-similarity and long range dependence,' Presentation slides http://www.csif.cs.ucdavis.edu/~kramer/publications.html
12 M. Crovella and A. Bestavros, 'Analysis, Modeling and Generation of Self-similar VBR Video Traffic,' In Proc. ACM SIGCOMM'94, pp.269-280, 1994
13 N. Likhanov, B. Tsybakov. 'Analysis of an ATM buffer with self-similar('fractal') input traffic,' IEEE INFOCOM'95, pp.985-992, 1995
14 W. E. Leland, M. S. Taqqu, W. Willinger, D.V. Wilson, 'On the Self-Similar Nature of Ethernet Traffic(Extended Version)', Networking, IEEE/ACM Transactions on, Vol. 2, pp.1-15, Feb. 1994   DOI   ScienceOn