Explicit Loss Inference in Multicast Tomography Academic Article uri icon

abstract

  • Network performance tomography involves correlating end-to-end performance measures over different network paths to infer the performance characteristics on their intersection. Multicast based inference of link-loss rates is the first paradigm for the approach. Existing algorithms generally require numerical solution of polynomial equations for a maximum-likelihood estimator (MLE), or iteration when applying the expectation maximization (EM) algorithm. The purpose of this note is to demonstrate a new estimator for link-loss rates that is computationally simple, being an explicit function of the measurements, and that has the same asymptotic variance as the MLE, to first order in the link-loss rates. 2006 IEEE.

published proceedings

  • IEEE Transactions on Information Theory

author list (cited authors)

  • Duffield, N. G., Horowitz, J., Lo Presti, F., & Towsley, D.

citation count

  • 12

complete list of authors

  • Duffield, NG||Horowitz, J||Lo Presti, F||Towsley, D

publication date

  • August 2006