Estimating Network Internal Link Loss Behavior From End-to-End Multi-cast Measurements

Estimating Network Internal Link Loss Behavior. From End-to-End Multi-cast Measurements. Sinem Coleri, Mustafa Ergen, Pravin Varaiya …

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Estimating Network Internal Link Loss Behavior From End-to-End Multi-cast Measurements
Abstract, network internal loss behavior from losses observed in multicast receivers. First part of the paper analyzes the estimation, problem based on the assumption that there is no temporal correlation between link losses for different probes. We have applied, Expectation-Maximization(EM) algorithm to this problem. We, compared the results of EM with a direct approach developed in, [2]. The second part of the paper is based on the assumption of, Markov temporal correlation between packet losses. We applied, EM algorithm to this problem with E-step approximated by, Gibbs sampling, completely factorized variational and structured, variational approximation. We observed from simulation that the, links closer to observed nodes give more accurate results and that, structured variational approximation improves simple variational, approximation results considerably. Index Terms, learning, Expectation-Maximization, Gibbs sampling

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