Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/74185
Campo DC Valoridioma
dc.contributor.authorQuinteiro González, José Maríaen_US
dc.contributor.authorSantana, A.en_US
dc.contributor.authorGonzález, J. J.en_US
dc.contributor.authorKravietz, E.en_US
dc.contributor.authorRodríguez, G. H.en_US
dc.contributor.authorRosales, M. Pilaren_US
dc.contributor.authorLópez, R.en_US
dc.date.accessioned2020-08-21T22:15:36Z-
dc.date.available2020-08-21T22:15:36Z-
dc.date.issued2002en_US
dc.identifier.isbn0-88986-327-Xen_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/74185-
dc.description.abstractThe modelling of traffic in current telecommunication networks, and in particular of video traffic requires methods that take into account any possible strong autocorrelations in the arrival process. The presence of a strong autocorrelation, which is typical in burst traffic, makes the network performance measurements based on classical queuing models with independent arrivals non valid, producing poor estimates of delays and loss rates. Nowadays, TES (Transform Expand Sample) models [1], [2], proposed by B. Melamed, represent an attractive alternative to modelling strongly autocorrelated processes. These models can be easily implemented on a computer, they present low computational complexity and allow the approximation of a wide variety of autocorrelation functions. In this paper we suggest three modifications of the empirical methodology for the fit of TES processes [3]. The first one is a modification of the GSLO (Global Search Local Optimisation) algorithm, which significantly reduces the computation time of the algorithm. The second contribution consists of using not only the marginal distribution and the autocorrelation function of the empirical series, but also its partial autocorrelation function as a criterion for the selection of the TES model. In this way, we can considerably improve the process of selection of the parameters for the model, obtaining a much better fit to the empirical data. Finally, we propose to increase the objectivity of the modelling process by computing a residual value that measures the difference between the empirical data and the synthetic TES series generated, thus reducing the heuristic selection process that the user must realize.en_US
dc.languageengen_US
dc.sourceProceedings Of The Iasted International Conference On Communications, Internet, And Information Technology, p. 100-104, (2002)en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherModelling And Simulationen_US
dc.subject.otherTes Modelsen_US
dc.subject.otherVideo Traffic Modellingen_US
dc.subject.otherSynthetic Traffic Generationen_US
dc.titleModelling of autocorrelated traffic using TES processes: New contributions to the empirical methodologyen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conferenceIASTED International Conference on Communications, Internet and Information Technologyen_US
dc.identifier.isi000221457100017-
dc.description.lastpage104en_US
dc.description.firstpage100en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid7207504-
dc.contributor.daisngid29981560-
dc.contributor.daisngid7717518-
dc.contributor.daisngid23689829-
dc.contributor.daisngid4629445-
dc.contributor.daisngid10597918-
dc.contributor.daisngid16862026-
dc.description.numberofpages5en_US
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Quinteiro, JM-
dc.contributor.wosstandardWOS:Santana, A-
dc.contributor.wosstandardWOS:Gonzalez, JJ-
dc.contributor.wosstandardWOS:Kravietz, E-
dc.contributor.wosstandardWOS:Rodriguez, GH-
dc.contributor.wosstandardWOS:Rosales, MP-
dc.contributor.wosstandardWOS:Lopez, R-
dc.date.coverdate2002en_US
dc.identifier.conferenceidevents120401-
dc.identifier.ulpgces
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IUMA: Sistemas de Información y Comunicaciones-
crisitem.author.deptIU de Microelectrónica Aplicada-
crisitem.author.deptDepartamento de Ingeniería Telemática-
crisitem.author.deptGIR Estadística-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.orcid0000-0002-6525-1316-
crisitem.author.orcid0000-0002-6513-4814-
crisitem.author.parentorgIU de Microelectrónica Aplicada-
crisitem.author.parentorgDepartamento de Matemáticas-
crisitem.author.fullNameQuinteiro González, José María-
crisitem.author.fullNameSantana Del Pino, Ángelo-
crisitem.event.eventsstartdate18-11-2002-
crisitem.event.eventsenddate20-11-2002-
Colección:Actas de congresos
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