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新型路由器辅助的多播网络层析方法
引用本文:肖永康,单琳伟,袁坚,山秀明.新型路由器辅助的多播网络层析方法[J].北京邮电大学学报,2008,31(6):9-12.
作者姓名:肖永康  单琳伟  袁坚  山秀明
作者单位:北京师范大学,信息科学与技术学院,北京,100875;清华大学,电子工程系,北京,100084
基金项目:国家自然科学基金项目 , 国家重点基础研究发展规划项目  
摘    要:提出了一种新型的路由器辅助的多播网络层析方法来估计网络性能的时空分布. 在MINC方法的基础上,利用路由器合作测量的背景数据流的统计结果,来提高低探测速率时多播探测的准确性. 同时,将最大似然估计方法和背景流量的辅助测量相结合,降低了推测误差,避免了增加探测速率对背景数据流的不利影响. 仿真结果证实了该方法的有效性.

关 键 词:网络层析  多播探测  路由器辅助
收稿时间:2008-6-4
修稿时间:2008-10-9

New Router-Aided Multicast Network Tomography Method
XIAO Yong-kang,SHAN Lin-wei,YUAN Jian,SHAN Xiu-ming.New Router-Aided Multicast Network Tomography Method[J].Journal of Beijing University of Posts and Telecommunications,2008,31(6):9-12.
Authors:XIAO Yong-kang  SHAN Lin-wei  YUAN Jian  SHAN Xiu-ming
Affiliation:(1. School of Information Science and Technology, Beijing Normal University, Beijing, 100875, China; 2. Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China )
Abstract:A new router-aided multicast network tomography method is proposed to estimate the spatial-temporal distribution of network performance. Based on MINC (Multicast-based Inference of Network-internal Characteristics), statistical results of background data flows measured by routers are used to improve the correctness of multicast probe even when the probe speed is low. With combination of the maximum likelihood estimation and the aided measurement results, the estimation error is reduced significantly, and the worse influence on background data flows caused by the increase of probe speed is avoided. Simulation shows the validity of the method.
Keywords:

network tomography  multicast probe  router-aided

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