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Using Multicast Dependence Tree Model for Network Delay Tomography

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3 Author(s)
Ruifang Liu ; Beijing University of Posts and Telecommunications,Beijing 100876, P.R. China ; Wenbin Guo ; Huimin Xu

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 efficiently and produces reasonable accurate results

Published in:

International conference on Networking and Services (ICNS'06)

Date of Conference:

16-18 July 2006