FluNet: A hybrid internet simulator for fast queue regimes

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dc.contributor.authorYi, Yungko
dc.contributor.authorShakkottai, Sanjayko
dc.date.accessioned2013-03-07T21:25:22Z-
dc.date.available2013-03-07T21:25:22Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2007-12-
dc.identifier.citationCOMPUTER NETWORKS, v.51, no.18, pp.4919 - 4937-
dc.identifier.issn1389-1286-
dc.identifier.urihttp://hdl.handle.net/10203/91387-
dc.description.abstractMotivated by the scale and complexity of simulating large-scale networks, recent research has focused on hybrid fluid/ packet simulators, where fluid models are combined with packet models in order to reduce simulation complexity as well as to track dynamics of end-sources accurately. However, these simulators still need to track the queuing dynamics of network routers, leading to considerable simulation complexity in a large-scale network model. In this paper, we propose a new hybrid simulator - FluNet - where queueing dynamics are not tracked, but instead, an equivalent rate-based model is used. The FluNet simulator is predicated on a fast-queueing regime at bottleneck routers, where the queue length fluctuates on a faster time-scale than end systems. This allows us to simulate large-scale systems, where the simulation "time step-size" is governed only by the time-scale of the end-systems, and not by that of the intermediate routers; whereas a queue-tracking based fluid simulator would require decreasingly smaller step-sizes as the system scale size increases. We validate our model using a ns-2 based implementation. Our results indicate a good match between packet systems and the associated FluNet system. (c) 2007 Elsevier B.V. All rights reserved.-
dc.languageEnglish-
dc.publisherELSEVIER SCIENCE BV-
dc.titleFluNet: A hybrid internet simulator for fast queue regimes-
dc.typeArticle-
dc.identifier.wosid000251592700002-
dc.identifier.scopusid2-s2.0-35549009268-
dc.type.rimsART-
dc.citation.volume51-
dc.citation.issue18-
dc.citation.beginningpage4919-
dc.citation.endingpage4937-
dc.citation.publicationnameCOMPUTER NETWORKS-
dc.identifier.doi10.1016/j.comnet.2007.08.003-
dc.contributor.localauthorYi, Yung-
dc.contributor.nonIdAuthorShakkottai, Sanjay-
dc.type.journalArticleArticle-
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