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
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