Multicast-Based Inference of Network-Internal Delay Distributions TITLE2:
Multicast-Based Inference of Network-Internal Delay Distributions TITLE2:
Unicast-based inference of network link delay distributions with finite mixture models
IEEE Transactions on Signal Processing
Multicast-based inference of network-internal loss characteristics
IEEE Transactions on Information Theory
Inference of Link Delay in Communication Networks
IEEE Journal on Selected Areas in Communications
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Packet delay has an important influence on the overall performance of network in applications, therefore, it is very necessary to measure internal-network delay performance for network administrators to manage their network well. Existing methods, largely based on end-to-end measurement with discrete delay model, can be applied to infer delay performance of internal links, such as Maximum Likelihood Estimate (MLE) and EM-MLE (Expectation Maximum) algorithm, however, their computational complexity caused by the iterative inference is still a problem for practical use, especially, it is more complex in computation when the number of bins is more or the size of network topology is larger. In this paper, we show how to infer the delay performance of internal network using the method of moment. In contrast to other methods, its most advantage is simple in computational complexity, and for the large network topology, it has more advantage in computational complexity than other methods.