On study and implementation of self-similar network traffic
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 traffi...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2005-01-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74668475/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|---|
| ISSN: | 1000-436X |