Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
453086 | Computer Networks | 2010 | 14 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
P.L. Conti, L. De Giovanni, M. Naldi,