Accurate modeling of VoIP traffic QoS parameters in current and future networks with multifractal and Markov models.

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dc.audiencegeneralPublices_MX
dc.contributor.authorTORAL CRUZ, HOMERO
dc.contributor.authorPathan, Al_Sakib Khan
dc.contributor.authorRAMIREZ PACHECO, JULIO CESAR
dc.creatorTORAL CRUZ, HOMERO; 44459
dc.creatorPathan, Al_Sakib Khan; 0000-0001-6572-3451
dc.creatorRAMIREZ PACHECO, JULIO CESAR; 47609
dc.date.accessioned2018-09-12T20:54:25Z
dc.date.available2018-09-12T20:54:25Z
dc.date.issued2013
dc.date.revista2011es_MX
dc.description.abstractIn this paper, we analyze the jitter and packet loss behavior of Voice over Internet Protocol (VoIP) traffic by means of network measurements and simulations results. As result of these analyses, we provide a detailed characterization and accurate modeling of these Quality of Service (QoS) parameters. Our studies have revealed that VoIP jitter can be modeled by self-similar processes with short range dependence (SRD) or long range dependence (LRD). The discovery of LRD (a kind of asymptotic fractal scaling) in VoIP jitter was followed by a further work that shows the evidence of multifractal behavior.es_MX
dc.divisionBiblioteca Unidad Académica Chetumal, Santiago Pacheco Cruzes_MX
dc.formatpdfes_MX
dc.identificator1||12||1203||120317es_MX
dc.identifier.doi10.1016/j.mcm.2011.12.007es_MX
dc.identifier.issn0895-7177es_MX
dc.identifier.urihttps://risisbi.uqroo.mx/handle/20.500.12249/1389
dc.language.isoenges_MX
dc.number.revista57es_MX
dc.publisherELSEVIERes_MX
dc.relationMathematical and Computer Modellinges_MX
dc.rights.accesopenAccesses_MX
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0es_MX
dc.sourceMathematical and Computer Modellinges_MX
dc.subjectVoIPes_MX
dc.subjectPacket losses_MX
dc.subjectJitteres_MX
dc.subjectHurst parameteres_MX
dc.subjectMarkov chainses_MX
dc.subjectMultifractalityes_MX
dc.subject.classificationCIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA::MATEMÁTICAS::CIENCIA DE LOS ORDENADORES::INFORMÁTICAes_MX
dc.titleAccurate modeling of VoIP traffic QoS parameters in current and future networks with multifractal and Markov models.es_MX
dc.typeArtículoes_MX
dc.type.conacytarticlees_MX

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