Fixed Point Approximation for Multirate Multihop Loss Networks with Adaptive Routing

Simple item page
dc.contributor.advisorBaras, John S.en_US
dc.contributor.authorLiu, Mingyan D.en_US
dc.contributor.authorBaras, John S.en_US
dc.contributor.departmentISRen_US
dc.contributor.departmentCSHCNen_US
dc.date.accessioned2007-05-23T10:08:17Z
dc.date.available2007-05-23T10:08:17Z
dc.date.issued1999en_US
dc.description.abstractIn this paper, we consider a class of loss networks where multipletraffic classes are present, each has different bandwidth requirement,and each traffic stream is routed according to an adaptive routingscheme. <p>The performance metric of interest is the end-to-end call blockingprobability. Blocking probabilities in a loss network have been studiedquite extensively but very few considered multiple traffic classes andrates together with adaptive/state dependent routing.<p>We propose a fixed-point method, a.k.a. reduced load approximation,to estimate the end-to-end blocking probability in a multihop, multirateloss network with adaptive routing. Simulation results are provided tocompare with that of approximations. The approximation scheme is shownto be asymptotically correct in a natural limiting regime, and it givesconservative estimates of blocking probabilities under heavy trafficload.en_US
dc.format.extent328423 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/6078
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1999-44en_US
dc.relation.ispartofseriesCSHCN; TR 1999-21en_US
dc.subjectloss networken_US
dc.subjectfix-point approximationen_US
dc.subjectreduced loaden_US
dc.subjectblocking probabilityen_US
dc.subjectAdaptive Routingen_US
dc.titleFixed Point Approximation for Multirate Multihop Loss Networks with Adaptive Routingen_US
dc.typeTechnical Reporten_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
TR_99-44.pdf
Size:
320.73 KB
Format:
Adobe Portable Document Format
Download

Collections

Institute for Systems Research Technical Reports