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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2005-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74668475/ |
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| _version_ | 1841537218131263488 |
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| author | SHI Jiang-tao WANG Yong-gang DAI Xue-long YAN Tian-xin |
| author_facet | SHI Jiang-tao WANG Yong-gang DAI Xue-long YAN Tian-xin |
| author_sort | SHI Jiang-tao |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-bc142ebbf5f94c6a8daa3a6cc1dae375 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2005-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-bc142ebbf5f94c6a8daa3a6cc1dae3752025-01-14T08:42:34ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2005-01-0111211774668475On study and implementation of self-similar network trafficSHI Jiang-taoWANG Yong-gangDAI Xue-longYAN Tian-xinTo 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.http://www.joconline.com.cn/zh/article/74668475/network communicationtrafficON/OFF modelself-similarpower-tail distribution |
| spellingShingle | SHI Jiang-tao WANG Yong-gang DAI Xue-long YAN Tian-xin On study and implementation of self-similar network traffic Tongxin xuebao network communication traffic ON/OFF model self-similar power-tail distribution |
| title | On study and implementation of self-similar network traffic |
| title_full | On study and implementation of self-similar network traffic |
| title_fullStr | On study and implementation of self-similar network traffic |
| title_full_unstemmed | On study and implementation of self-similar network traffic |
| title_short | On study and implementation of self-similar network traffic |
| title_sort | on study and implementation of self similar network traffic |
| topic | network communication traffic ON/OFF model self-similar power-tail distribution |
| url | http://www.joconline.com.cn/zh/article/74668475/ |
| work_keys_str_mv | AT shijiangtao onstudyandimplementationofselfsimilarnetworktraffic AT wangyonggang onstudyandimplementationofselfsimilarnetworktraffic AT daixuelong onstudyandimplementationofselfsimilarnetworktraffic AT yantianxin onstudyandimplementationofselfsimilarnetworktraffic |