DocumentCode
498567
Title
Estimate Link-Level Transition Matrix from End-to-End Observations
Author
Zhu, Weiping
Author_Institution
Univ. of New South Wales at ADFA, Canberra, ACT, Australia
Volume
1
fYear
2009
fDate
10-11 July 2009
Firstpage
103
Lastpage
106
Abstract
Network tomography aims to estimate network characteristics from end-to-end (e2e) observation, e.g. link-level loss rate and delay distribution. In this paper, a method is proposed to estimate link-level transition matrix from e2e observations. The estimate obtained from the proposed method is an MLE. Simulation study shows the estimate obtained by the proposed method is very close to the direct measurement that makes it possible to use the estimated characteristic to predict the performance of a link or a path for a short period.
Keywords
hidden Markov models; information networks; maximum likelihood estimation; HMM; end-to-end observations; hidden Markov model; link-level transition matrix estimation; network characteristics; network tomography; Australia; Bandwidth; Delay estimation; Hidden Markov models; Markov processes; Maximum likelihood estimation; Predictive models; State estimation; Telecommunication traffic; Tomography; Network tomography; temporal tomography; transition matrix;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering, 2009. ICIE '09. WASE International Conference on
Conference_Location
Taiyuan, Shanxi
Print_ISBN
978-0-7695-3679-8
Type
conf
DOI
10.1109/ICIE.2009.85
Filename
5211136
Link To Document