Non Gaussian and Long Memory Statistical Modeling of Internet Traffic

Abstract : Due to the variety of services and applications available on today's Internet, many properties of the traffic stray from the classical characteristics (Gaussianity and short memory) of standard models. The goal of the present contribution is to propose a statistical model able to account both for the non Gaussian and long memory properties of aggre- gated count processes. First, we introduce the model and a procedure to estimate the corresponding parameters. Second, using a large set of data taken from public reference repositories (Bellcore, LBL, Auckland, UNC, CAIDA) and collected by ourselves, we show that this stochastic process is relevant for Internet traffic modeling for a wide range of aggregation levels. In conclusion we indicate how this modeling could be used in IDS design.
Type de document :
Communication dans un congrès
Felix Strohmeier, Bernhard Hechenleitner. 4th International Workshop on Internet Performance, Simulation, Monitoring and Measurement (IPS-MoMe) 2006, Feb 2006, Salzburg, Austria. Salzburg Research Forschunggesellschaft, pp.176-185, 2006
Liste complète des métadonnées

Littérature citée [23 références]  Voir  Masquer  Télécharger

https://hal-ens-lyon.archives-ouvertes.fr/ensl-00175418
Contributeur : Pierre Borgnat <>
Soumis le : vendredi 28 septembre 2007 - 10:13:00
Dernière modification le : vendredi 26 octobre 2018 - 10:46:14
Document(s) archivé(s) le : vendredi 9 avril 2010 - 03:03:30

Fichier

5.3.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : ensl-00175418, version 1

Citation

Antoine Scherrer, Nicolas Larrieu, Pierre Borgnat, Philippe Owezarski, Patrice Abry. Non Gaussian and Long Memory Statistical Modeling of Internet Traffic. Felix Strohmeier, Bernhard Hechenleitner. 4th International Workshop on Internet Performance, Simulation, Monitoring and Measurement (IPS-MoMe) 2006, Feb 2006, Salzburg, Austria. Salzburg Research Forschunggesellschaft, pp.176-185, 2006. 〈ensl-00175418〉

Partager

Métriques

Consultations de la notice

341

Téléchargements de fichiers

131