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。
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 mea- sured 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
出处
《山西电子技术》
2007年第3期43-45,共3页
Shanxi Electronic Technology
