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dc.contributor.authorGarcía Gutiérrez, Alberto Eloy 
dc.contributor.authorHackbarth Planeta, Klaus Dietrich 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2013-02-05T10:16:07Z
dc.date.available2013-02-05T10:16:07Z
dc.date.issued2008
dc.identifier.issn0948-695X
dc.identifier.issn0948-6968
dc.identifier.urihttp://hdl.handle.net/10902/1578
dc.description.abstractThis article provides a comparison among different methods for estimating the aggregation of Internet traffic resulting from different users, network-access types and corresponding services. Some approximate models usually used as isolated methods are combined with a temporally scaled ON-OFF model with binomial approximations. The aggregation problem is solved using a new form of parameterization based on the composition of the source traffic accordingly to the concrete characteristics of the users, the accesses and the services. This is a new concept, called CASUAL, included within an overall network planning methodology for the design and dimensioning of Next Generation Internet.es_ES
dc.format.extent14 p.es_ES
dc.language.isoenges_ES
dc.publisherGraz University of Technology-es_ES
dc.publisherInstitut für Informationssysteme und Computer Medien (IICM)es_ES
dc.rights© 2008 J.UCSes_ES
dc.sourceJournal of Universal Computer Science, 2008, 14(5), 731-744es_ES
dc.subject.otherNetwork planninges_ES
dc.subject.otherTraffic modelinges_ES
dc.subject.otherTraffic aggregationes_ES
dc.subject.otherNetwork scenarioes_ES
dc.titleApproximation to a behavioral model for estimating traffic aggregation scenarioses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttp://dx.doi.org/10.3217/jucs-014-05-0731es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.3217/jucs-014-05-0731
dc.type.versionpublishedVersiones_ES


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