Ruifang Liu, Beijing University of Posts and Telecommunications,Beijing 100876, P.R. China
Wenbin Guo, Beijing University of Posts and Telecommunications,Beijing 100876, P.R. China
Huimin Xu, Beijing University of Posts and Telecommunications,Beijing 100876, P.R. China
It is essential to have link-level performance data for understanding the features of a network. Network tomography is based on end-to-end measurement to infer the network internal information. In the paper, we use the multicast dependence tree model and upward-downward algorithm to infer link delay distribution, which requires a relatively small number of free parameters by making Markov-like assumptions on the tree. The simulation result shows that the method works ef?ciently and produces reasonable accurate results.
Citation:
Ruifang Liu, Wenbin Guo, Huimin Xu, "Using Multicast Dependence Tree Model for Network Delay Tomography," icns, pp.2, International conference on Networking and Services (ICNS'06), 2006