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
Link To Document :
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