Alocação adaptativa de banda e controle de fluxos de tráfego de redes utilizando sistemas Fuzzy e modelagem multifractal

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dc.contributor.advisor1Vieira, Flávio Henrique Teles
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/0920629723928382por
dc.contributor.referee1Vieira, Flávio Henrique Teles
dc.contributor.referee2Carvalho, Cedric Luiz de
dc.contributor.referee3Brito, Leonardo da Cunha
dc.creatorCardoso, Alisson Assis
dc.creator.Latteshttp://lattes.cnpq.br/8216536516894987por
dc.date.accessioned2014-09-25T10:32:28Z
dc.date.issued2014-06-26
dc.description.abstractInthispaperweproposeafuzzymodel,calledFuzzyLMScomAutocorrela¸c˜aoMultifractal, whose weights are updated according to information from multifractal traffic modeling. These weights are calculated by incorporating an analytical expression for the autocorrelation function of a multifractal model in the training algorithm of the fuzzy model that is based on the Wiener-Hopf filter. We evaluate the prediction performance of the proposed network traffic prediction algorithm with respect to other predictors. Further, we propose a bandwidth allocation scheme for network traffic based on the fuzzy prediction algorithm. Comparisons with other bandwidth allocation schemes in terms of byte loss rate, link utilization, buffer occupancy and average queue size verifies the efficiency of the proposed scheme. Also, We propose an other adaptive fuzzy algorithm, called Fuzzy-LMS-OBF com alfa adaptivo , for traffic flow control described by theβMWM model. The proposed algorithm uses Orthonormal Basis Functions (OBF) and its training based on the LMS algorithm. We also present an expression for the optimal traffic source rate derived from Fuzzy LMS. Then, we evaluate the performance of the Fuzzy-LMS-OBF com alfa adaptivo algorithm with respect to other methods. Through simulations, we show that the proposed control scheme is benefited from the superior performance of the proposed fuzzy algorithm. Comparisons with other methods in terms of mean and variance of the queue size in the buffer, Utilization rate of the link, Loss rate and Throughput are presented.eng
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dc.description.resumoNeste trabalho propomos um modelo fuzzy, nomeado Fuzzy LMS com Autocorrela¸c˜ao Multifractal, cujos pesos s˜ao calculados atrav´es de informa¸c˜oes provindas da an´alise multifractal de s´eries temporais. Esses pesos s˜ao encontrados incorporando uma express˜ao anal´ıtica para a fun¸c˜ao de autocorrela¸c˜ao de um modelo multifractal no algoritmo de treinamento do modelo fuzzy que tem como base o filtro de Wiener-Hopf. Avaliamos ent˜ao o desempenho de predi¸c˜ao de tr´afego de redes do modelo fuzzy proposto adaptativo com rela¸c˜ao a outros preditores. Em seguida, propomos um esquema de aloca¸c˜ao de banda para tr´afego de redes baseado no algoritmo Fuzzy LMS com Autocorrela¸c˜ao Multifractal. Compara¸c˜oes com outros esquemas de aloca¸c˜ao de banda em termos de taxa de perda de bytes, utiliza¸c˜ao do enlace, ocupa¸c˜ao do buffer e tamanho m´edio da fila comprovam a eficiˆencia do algoritmo no esquema utilizado. Al´em disso, propomos um outro algoritmo fuzzy adaptativo para controle de fluxos de tr´afego que podem ser descritos pelo modelo multifractalβMWM, que chamamos de Fuzzy-LMS-OBF com alfa adaptivo, o qual utiliza Fun¸c˜oes de Bases Ortonormal (FBO) e tem como base de treinamento, o algoritmo LMS. Propomos tamb´em uma equa¸c˜ao para c´alculo da taxa ´otima de controle derivada do modelo Fuzzy LMS. Em seguida, avaliamos o desempenho do algoritmo de controle adaptativo proposto com rela¸c˜ao a outros m´etodos. Atrav´es de simula¸c˜oes, mostramos que os esquemas de controle e aloca¸c˜ao de taxa se favorecem do desempenho dos algoritmos fuzzy adaptativos propostos. Compara¸c˜oes com outros m´etodos em termos de tamanho m´edio e variˆancia da fila no buffer, Taxa de Utiliza¸c˜ao do enlace e Vaz˜ao s˜ao apresentadas.por
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESpor
dc.formatapplication/pdf*
dc.identifier.citationCARDOSO, Alisson Assis. Alocação adaptativa de banda e controle de fluxos de tráfego de redes utilizando sistemas Fuzzy e modelagem multifractal. 2014. 132 f. Dissertação (Mestrado em Engenharia Elétrica e da Computação) - Universidade Federal de Goiás, Goiânia, 2014.por
dc.identifier.urihttp://repositorio.bc.ufg.br/tede/handle/tede/3164
dc.languageporpor
dc.publisherUniversidade Federal de Goiáspor
dc.publisher.countryBrasilpor
dc.publisher.departmentEscola de Engenharia Elétrica, Mecânica e de Computação - EMC (RG)por
dc.publisher.initialsUFGpor
dc.publisher.programPrograma de Pós-graduação em Engenharia Elétrica e da Computação (EMC)por
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dc.rightsAcesso Abertopor
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAnálise multifractalpor
dc.subjectModelagem Fuzzypor
dc.subjectPredicão de tráfego de redepor
dc.subjectAlocacão de bandapor
dc.subjectControle de tráfego de redepor
dc.subjectFunções de base ortonormalpor
dc.subjectMultifractal analysiseng
dc.subjectFuzzy modelingeng
dc.subjectNetwork traffic predictioneng
dc.subjectBand-width allocationeng
dc.subjectTraffic flow controleng
dc.subjectOrthonormal basis functionpor
dc.subject.cnpqSISTEMAS DE COMPUTACAO::HARDWAREpor
dc.thumbnail.urlhttp://repositorio.bc.ufg.br/tede/retrieve/8659/finalfinal.pdf.jpg*
dc.titleAlocação adaptativa de banda e controle de fluxos de tráfego de redes utilizando sistemas Fuzzy e modelagem multifractalpor
dc.title.alternativeAdaptive bandwidth allocation and traffic flow control using fuzzy systems and multifractal modelingeng
dc.typeDissertaçãopor

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