Network Delay Inference from Additive Metrics
<|reference_start|>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 $\poly(\log n)$.<|reference_end|>
@article{bhamidi2006network,
    title={Network Delay Inference from Additive Metrics},
    author={Shankar Bhamidi, Ram Rajagopal, Sebastien Roch},
    journal={arXiv preprint arXiv:math/0604367},
    year={2006},
    archivePrefix={arXiv},
    eprint={math/0604367},
    primaryClass={math.PR cs.DS cs.NI math.ST stat.TH}
}