• DocumentCode
    3465115
  • Title

    From Timed Pass Rate to Estimate Delay Distribution

  • Author

    Zhu, Weiping

  • Author_Institution
    Univ. of New South Wales at ADFA, Canberra, NSW, Australia
  • fYear
    2009
  • fDate
    June 30 2009-July 2 2009
  • Firstpage
    685
  • Lastpage
    690
  • Abstract
    Delay tomography and loss tomography are two key components of network tomography, the former is for estimating link level delay distribution of a network, while the latter for estimating link-level loss rates of a network, by end-to-end measurement. The difference between the objectives leads to two independent studies and creates two types of methods for one each. Preti et. al. attempted to connect these two together and borrow some techniques used in loss tomography to delay tomography. The attempt achieved its success in terms of performances but also unveiled its weakness in terms of statistical efficiency. In this paper, we extend the previous work to overcome the weakness,where an expectation and maximization procedure is added that considers all information obtained by receivers. The results show the new method performs significantly better than the previous method without scarifying its performance.
  • Keywords
    delays; expectation-maximisation algorithm; inverse problems; multicast communication; tomography; delay tomography; end-to-end measurement; estimate delay distribution; expectation procedure; link level delay distribution; link-level loss rates; loss tomography; maximization procedure; network tomography; statistical efficiency; timed pass rate; Australia; Deconvolution; Delay effects; Delay estimation; Distributed computing; H infinity control; Loss measurement; Network topology; Probes; Tomography; Delay tomography; loss tomography; network tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Trends in Information and Service Science, 2009. NISS '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3687-3
  • Type

    conf

  • DOI
    10.1109/NISS.2009.103
  • Filename
    5260958