The estimation of traffic matrices in a communications network on the basis of multiperiod traffic measurements on network links is an important problem, and several solutions have been proposed when the traffic does not show dependence over time. However, extensive measurements campaigns conducted on IP networks have shown that the traffic actually exhibits long range dependence. Here a method is proposed for the estimation of traffic matrices in the case of long range dependence, and its properties are studied.
Traffiic modeling and statistical analysis in network tomography / Conti, Pier Luigi; De Giovanni, Livia; Naldi, Maurizio. - ELETTRONICO. - (2011), p. --. (Intervento presentato al convegno 7th Conference on Statistical Computation and Complex Systems - S.Co. 2011 tenutosi a Padova nel 19 settembre - 21 settembre 2011).
Traffiic modeling and statistical analysis in network tomography
CONTI, Pier Luigi;
2011
Abstract
The estimation of traffic matrices in a communications network on the basis of multiperiod traffic measurements on network links is an important problem, and several solutions have been proposed when the traffic does not show dependence over time. However, extensive measurements campaigns conducted on IP networks have shown that the traffic actually exhibits long range dependence. Here a method is proposed for the estimation of traffic matrices in the case of long range dependence, and its properties are studied.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
