A Simple Multifractal Model for Self-Similar Traffic Flows in High-Speed Computer Networks

dc.creatorMillan Naveas, Ginno
dc.creatorSan Juan Urrutia, Enrique
dc.creatorVargas Guzman, Manuel
dc.date.accessioned2020-11-03T07:45:10Z
dc.date.accessioned2023-05-30T20:46:09Z
dc.date.available2020-11-03T07:45:10Z
dc.date.available2023-05-30T20:46:09Z
dc.date.created2020-11-03T07:45:10Z
dc.date.issued2019
dc.identifier1405-5546
dc.identifierhttp://repositorio.uss.cl/xmlui/handle/uss/214
dc.identifierhttp://dx.doi.org/10.13053/CyS-23-4-2831
dc.identifier2007-9737
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6446577
dc.description.abstractThis paper proposes a multifractal model, with the aim of providing a possible explanation for the locality phenomenon that appears in the estimation of the Hurst exponent in stationary second order temporal series representing self-similar traffic flows in current high-speed computer networks. It is shown analytically that this phenomenon occurs if the network flow consists of several components with different Hurst exponents.
dc.languageen
dc.publisherFacultad de Ingeniería y Tecnología
dc.relationvol. 23, no. 4, p. 1517-1521
dc.relationIndexado en WOS
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile
dc.sourceComputación y Sistemas
dc.subjectMULTIFRACTALS
dc.subjectSELF-SIMILARITY
dc.subjectHURST EXPONENT (H)
dc.subjectHIGH-SPEED COMPUTER NETWORKS
dc.subjectTRAFFIC MODELS
dc.subjectLONG-RANGE DEPENDENCE
dc.subjectLRD
dc.titleA Simple Multifractal Model for Self-Similar Traffic Flows in High-Speed Computer Networks
dc.typeArticle


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