A new method, based on the maximum likelihood principle, through the numerical Expectation-Maximization algorithm, is proposed to estimate traffic matrices when traffic exhibits long-range dependence. The methods proposed so far in the literature do not account for long-range dependence. The method proposed in the present paper also provides an estimate of the Hurst parameter. Simulation results show that: (i) the estimate of the traffic matrix is more efficient than those obtained via existing techniques: (ii) the estimation error of the traffic matrix is lower for larger values of the true traffic intensity: (iii) the estimate of the Hurst parameter is slightly negatively biased. (C) 2010 Elsevier B.V. All rights reserved.
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