Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/36943
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dc.contributor.authorTian, H.-
dc.contributor.authorShen, H.-
dc.date.issued2004-
dc.identifier.citationParallel and distributed computing : applications and technologies : 5th international conference, PDCAT 2004, Singapore, December 8-10, 2004 : proceedings / Kim-Meow Liew ... [et al.] (ed.), pp. 416-419-
dc.identifier.isbn3540240136-
dc.identifier.isbn9783540240136-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttp://hdl.handle.net/2440/36943-
dc.descriptionThe original publication is available at www.springerlink.com-
dc.description.abstractUse of multicast traffic as measurement probes has been shown effective to infer network-internal characteristics. In a network the links that have a packet loss rate greater than a given threshold are called lossy links. Lossy links adversely affect network performance and collectively cause break-down of network service in many cases. We propose a new approach to identify the lossy links from multicast end-to-end measurements. It is based on hamming distance of sequences on receipt/loss of probe packets maintained at each pair of sibling nodes. With prior knowledge of multicast network topology, all lossy links can be effectively identified by our approach.-
dc.description.statementofresponsibilityHui Tian and Hong Shen-
dc.language.isoen-
dc.publisherSpringer-
dc.relation.ispartofseriesLecture notes in computer science ; 3320-
dc.source.urihttp://www.springerlink.com/content/vdfftw5xpurvj8b7/-
dc.subjectMulticast network, lossy link, identification.-
dc.titleLossy link identification for multicast network-
dc.typeConference paper-
dc.contributor.conferenceInternational Conference on Parallel and Distributed Computing, Applications and Technologies (5th : 2004 : Singapore)-
dc.identifier.doi10.1007/978-3-540-30501-9_85-
dc.publisher.placeBerlin-
pubs.publication-statusPublished-
dc.identifier.orcidShen, H. [0000-0002-3663-6591] [0000-0003-0649-0648]-
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Computer Science publications

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