Alocação adaptativa de banda e controle de fluxos de tráfego de redes utilizando sistemas Fuzzy e modelagem multifractal
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2014-06-26
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Universidade Federal de Goiás
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Inthispaperweproposeafuzzymodel,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.
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CARDOSO, 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.