A Modular Architecture for Deploying Self-adaptive Traffic Sampling

Abstract : Traffic sampling is seen as a mandatory solution to cope with the huge amount of traffic traversing network devices. Despite the substantial research work in the area, improving the versatility of adjusting sampling to the wide variety of foreseeable measurement scenarios has not been targeted so far. This motivates the development of an encompassing measurement model based on traffic sampling able to support a large range of network management activities, in a scalable way. The design of this model involves identifying sampling techniques through its components rather than a closed unit, allowing to address issues such as flexibility, estimation accuracy, data overhead and computational weight within a narrower and simpler scope. This paper concretises these ideas presenting a modular and self-configurable measurement architecture based on sampling, a framework implementing sampling inherent pieces, and provides first results when deploying the proposed concepts in real traffic scenarios.
Type de document :
Communication dans un congrès
Anna Sperotto; Guillaume Doyen; Steven Latré; Marinos Charalambides; Burkhard Stiller. 8th IFIP International Conference on Autonomous Infrastructure, Management and Security (AIMS), Jun 2014, Brno, Czech Republic. Springer, Lecture Notes in Computer Science, LNCS-8508, pp.179-183, 2014, Monitoring and Securing Virtualized Networks and Services. 〈10.1007/978-3-662-43862-6_21〉
Liste complète des métadonnées

Littérature citée [12 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01401305
Contributeur : Hal Ifip <>
Soumis le : mercredi 23 novembre 2016 - 10:27:11
Dernière modification le : mercredi 23 novembre 2016 - 10:36:55
Document(s) archivé(s) le : lundi 27 mars 2017 - 09:30:20

Fichier

978-3-662-43862-6_21_Chapter.p...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

João Silva, Paulo Carvalho, Solange Lima. A Modular Architecture for Deploying Self-adaptive Traffic Sampling. Anna Sperotto; Guillaume Doyen; Steven Latré; Marinos Charalambides; Burkhard Stiller. 8th IFIP International Conference on Autonomous Infrastructure, Management and Security (AIMS), Jun 2014, Brno, Czech Republic. Springer, Lecture Notes in Computer Science, LNCS-8508, pp.179-183, 2014, Monitoring and Securing Virtualized Networks and Services. 〈10.1007/978-3-662-43862-6_21〉. 〈hal-01401305〉

Partager

Métriques

Consultations de la notice

26

Téléchargements de fichiers

11