dc.creatorStenico, JWG
dc.creatorVieira, FHT
dc.creatorLee, LL
dc.date2013
dc.dateDEC
dc.date2014-07-30T17:27:40Z
dc.date2015-11-26T17:37:33Z
dc.date2014-07-30T17:27:40Z
dc.date2015-11-26T17:37:33Z
dc.date.accessioned2018-03-29T00:19:13Z
dc.date.available2018-03-29T00:19:13Z
dc.identifierMeasurement. Elsevier Sci Ltd, v. 46, n. 10, n. 3929, n. 3941, 2013.
dc.identifier0263-2241
dc.identifier1873-412X
dc.identifierWOS:000326270400018
dc.identifier10.1016/j.measurement.2013.08.002
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/65642
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/65642
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1285989
dc.descriptionIn this work, we propose an analytical expression for estimating the byte loss probability at a single server queue with multifractal traffic arrivals. Initially, we address the theory concerning multifractal processes, especially the Holder exponents of the multifractal traffic traces. Next we focus our attention on the second order statistics of multifractal traffic processes. More specifically, we assume that an exponential model is adequate for representing the variance of the traffic process under different time scale aggregation. Then, we compare the performance of the proposed approach to other relevant approaches. In addition, based on the results of the analysis, we propose a new admission control strategy that takes into account the multifractal traffic characteristics. We compare the proposed admission control strategy to some other widely used admission control methods. The simulation results show that the proposed loss probability estimation method is accurate, and the proposed admission control strategy is robust and efficient. (C) 2013 Elsevier Ltd. All rights reserved.
dc.description46
dc.description10
dc.description3929
dc.description3941
dc.languageen
dc.publisherElsevier Sci Ltd
dc.publisherOxford
dc.publisherInglaterra
dc.relationMeasurement
dc.relationMeasurement
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectMultifractal processes
dc.subjectLoss probability
dc.subjectAdmission control
dc.subjectCalculus
dc.subjectDelay
dc.titleEstimation of loss probability and the admissible number of users in a network link considering a lognormal multifractal traffic model with exponential variance
dc.typeArtículos de revistas


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