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.

Traffic Modellind and Statistical Analysis in Network Tomography / Conti, Pier Luigi; DE GIOVANNI, Livia; M., Naldi. - ELETTRONICO. - (2011), pp. 1-6.

Traffic Modellind and Statistical Analysis in Network Tomography

CONTI, Pier Luigi;DE GIOVANNI, Livia;
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.
2011
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Traffic Modellind and Statistical Analysis in Network Tomography / Conti, Pier Luigi; DE GIOVANNI, Livia; M., Naldi. - ELETTRONICO. - (2011), pp. 1-6.
File allegati a questo prodotto
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/458955
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact