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Rapport (Rapport De Recherche) Année : 2004

Inverting sampled ADSL traffic

Nadia Ben Azzouna
  • Fonction : Auteur
Fabrice Guillemin
Stéphanie Poisson
  • Fonction : Auteur
Christine Fricker
  • Fonction : Auteur
  • PersonId : 831323
Nelson Antunes
  • Fonction : Auteur
  • PersonId : 831322

Résumé

On the basis of a reference model for ADSL traffic on an IP backbone link, established in an earlier study, we show in this paper that it is possible to infer the characteristics of long flows by performing a deterministic $1/N$ packet sampling. By using the fact that the number of active long flows can be represented by means of the number of customers in an $M/G/\infty$ queue with Weibullian service times, we derive some probabilistic properties of sampled data. These properties are then used to infer the characteristics of original flows. The method is illustrated by considering an actual traffic trace captured in the France Telecom IP backbone network. Experimental data show that the method proves quite efficient.

Domaines

Autre [cs.OH]
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Dates et versions

inria-00070581 , version 1 (19-05-2006)

Identifiants

  • HAL Id : inria-00070581 , version 1

Citer

Nadia Ben Azzouna, Fabrice Guillemin, Stéphanie Poisson, Philippe Robert, Christine Fricker, et al.. Inverting sampled ADSL traffic. [Research Report] RR-5425, INRIA. 2004, pp.14. ⟨inria-00070581⟩
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