| 基于网络业务流的RMD算法模型设计 |
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| 引用本文： | 曹书生.基于网络业务流的RMD算法模型设计[J].山西电子技术,2007(3):43-45. |
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| 作者姓名： | 曹书生 |
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| 作者单位： | 南京邮电大学通信与信息工程学院,江苏南京210003 |
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| 摘 要： | 现代实际网络业务相比传统业务更为复杂，在各个时间尺度下表现出自相似的突发特性（相关函数上表现为长相关特性）。我们可以在线测量网络中的高速业务流，再根据实测时间序列数据，用RMD方法建立并分析高速业务流的自相似模型。RMD算法速度快，同时能很好的匹配业务流的自相似特性。
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| 关 键 词： | 业务流模型 自相似 RMD算法 H参数 |
| 修稿时间： | 2007-01-10 |
Modeling Design of RMD Algorithm Based on Network Traffic |
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| Cao Shu-sheng.Modeling Design of RMD Algorithm Based on Network Traffic[J].Shanxi Electronic Technology,2007(3):43-45. |
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| Authors: | Cao Shu-sheng |
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| Affiliation: | College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing Jiangsu 210003, Chilm |
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| Abstract: | Modern actual network traffic is more complex compared with traditional traffic and presents similar burst characteristic under each time scale(presents long range dependence on correlation function).The high-speed traffic in the network can be measured online and use RMD methodology to establish and analyze the self-similarity model of high-speed traffic according to the measured time series data.The operation speed of RMD algorithm is very fast and the algorithm can match the self-similarity of the network traffic very well. |
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| Keywords: | traffic model self-similarity RMD algorithm hparameter |
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