Network delay inference from additive metrics

We demonstrate the use of computational phylogenetic techniques to solve a central problem in inferential network monitoring. More precisely, we design a novel algorithm for multicast-based delay inference, i.e. the problem of reconstructing the topology and delay characteristics of a network from end-to-end delay measurements on network paths. Our inference algorithm is based on additive metric techniques widely used in phylogenetics. It runs in polynomial time and requires a sample of size only poly(log n).

• Type: Journal
• Year: 2010
• Where: RSA
• Authors: Shankar Bhamidi, Ram Rajagopal, Sébastien Roch
• Keywords: Computational Phylogenetic Techniques, End-to-end Delay Measurements, Multicast-based Delay Inference, RSA 2010