A comparison of some bottleneck-link detection methods for network tomography

Nick Johnson, John Thompson, Steve McLaughlin, Francisco J. Garcia

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

1 Citation (Scopus)

Abstract

Network tomography offers a useful method to identify internal problems in a network using data which can be obtained at the network's edge. Provided the topology of the network is known then it is possible to recover from the edge measurements some properties of internal links of the network which may not be accessible for any number of reasons - cost, ownership, physical location etc. In this paper we introduce two new estimation algorithms based on the Pearson type-1 distribution and compare these with existing estimator and detector algorithms used to find the bottleneck link in a wired network, that is, the link experiencing the highest delay.

Original languageEnglish
Title of host publication2009 17th European Signal Processing Conference
PublisherIEEE
Pages1660-1664
Number of pages5
ISBN (Print)9781617388767
Publication statusPublished - 2009
Event17th European Signal Processing Conference 2009 - Glasgow, United Kingdom
Duration: 24 Aug 200928 Aug 2009

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Conference

Conference17th European Signal Processing Conference 2009
Abbreviated titleEUSIPCO 2009
Country/TerritoryUnited Kingdom
CityGlasgow
Period24/08/0928/08/09

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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