Unicast network loss tomography based on TCP passive measurement
基于TCP被动测量的单播网络丢包层析

Network tomography is a new technique for the internal behavior of large-scale networks based on end-toend measurements. It minimizes the cooperation from network elements and has been widely used in characterizing the performance of a large-scale network. Most network loss tomography methods utilized active probing, but the performance obtained from probes is not equal to the reflection of actual network. In this paper, an alternative net- work loss tomography based on TCP monitoring and anti-causal conditional probability is introduced to avoid these limitations. And EM algorithm is used to compute maximum likelihood estimates of internal loss rates. Theoretical analysis demonstrates the feasibility of this method.