A Wearable Machine Learning Solution for Internet Traffic Classification in Satellite Communications - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

A Wearable Machine Learning Solution for Internet Traffic Classification in Satellite Communications

Résumé

In this paper, we present an architectural framework to perform Internet traffic classification in Satellite Communications for QoS management. Such a framework is based on Machine Learning techniques. We propose the elements that the framework should include, as well as an implementation proposal. We define and validate some of its elements by evaluating an Internet dataset generated on an emulated Satellite Architecture. We also outline some discussions and future works that should be addressed to have an accurate Internet classification system .
Fichier principal
Vignette du fichier
pacheco2019 (1).pdf (1007.97 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02423379 , version 1 (26-01-2020)

Identifiants

Citer

Fannia Pacheco, Ernesto Expósito, Mathieu Gineste. A Wearable Machine Learning Solution for Internet Traffic Classification in Satellite Communications. ICSOC 2019 : The 17th International Conference on Service-Oriented Computing, Oct 2019, Toulouse, France. pp.202-215, ⟨10.1007/978-3-030-33702-5_15⟩. ⟨hal-02423379⟩

Collections

UNIV-PAU LIUPPA
56 Consultations
183 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More