On study and implementation of self-similar network traffic

• الحاوية / القاعدة: Tongxin xuebao
• المؤلفون الرئيسيون: SHI Jiang-tao, WANG Yong-gang, DAI Xue-long, YAN Tian-xin
• التنسيق: مقال
• اللغة: الصينية
• منشور في: Editorial Department of Journal on Communications 2005-01-01
• الموضوعات: network communication; traffic; ON/OFF model; self-similar; power-tail distribution
• الوصول للمادة أونلاين: http://www.joconline.com.cn/zh/article/74668475/

To evaluate accurately the performance of the network switching equipment and the scheduling algorithm, it was very important to use a simulated network traffic which represents the major characteristics of real network. The study and analysis on the network traffic in recent years showed the traffic distribution was long-rang-dependent and self-similar, not Poisson process. Combining the modern statistical result on network traffic with the existing traffic models, a practical traffic model was constructed. Based on Pareto distribution and truncated power-tail distribution the model presents nice self-similar property in macro-scale. A practical network traffic generating system is built for evaluating the performance of switch fabric and its scheduling algorithm.