Identifiability of link metrics based on end-to-end path measurements

Liang Ma, Ting He, Kin K. Leung, Ananthram Swami, Don Towsley

Research output: Chapter in Book/Report/Conference proceedingConference contribution

36 Scopus citations


We investigate the problem of identifying individual link metrics in a communication network from end-to-end path measurements, under the assumption that link metrics are additive and constant. To uniquely identify the link metrics, the number of linearly independent measurement paths must equal the number of links. Our contribution is to characterize this condition in terms of the network topology and the number/placement of monitors, under the constraint that measurement paths must be cycle-free. Our main results are: (i) it is generally impossible to identify all the link metrics by using two monitors; (ii) nevertheless, metrics of all the interior links not incident to any monitor are identifiable by two monitors if the topology satisfies a set of necessary and sufficient connectivity conditions; (iii) these conditions naturally extend to a necessary and sufficient condition for identifying all the link metrics using three or more monitors. We show that these conditions not only allow efficient identifiability tests, but also enable an efficient algorithm to place the minimum number of monitors in order to identify all link metrics. Our evaluations on both random and real topologies show that the proposed algorithm achieves iden-tifiability using a much smaller number of monitors than a baseline solution.

Original languageEnglish (US)
Title of host publicationIMC 2013 - Proceedings of the 13th ACM Internet Measurement Conference
Number of pages14
StatePublished - 2013
Event13th ACM Internet Measurement Conference, IMC 2013 - Barcelona, Spain
Duration: Oct 23 2013Oct 25 2013

Publication series

NameProceedings of the ACM SIGCOMM Internet Measurement Conference, IMC


Other13th ACM Internet Measurement Conference, IMC 2013

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications


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