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An autonomic traffic classification system for network operation and management

Autor
Carela, V.; Barlet, P.; Mulla , O.; Solé-Pareta, J.
Tipus d'activitat
Article en revista
Revista
Journal of network and systems management
Data de publicació
2015-07-01
Volum
23
Número
3
Pàgina inicial
401
Pàgina final
419
DOI
https://doi.org/10.1007/s10922-013-9293-1 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/85268 Obrir en finestra nova
URL
http://link.springer.com/article/10.1007%2Fs10922-013-9293-1 Obrir en finestra nova
Resum
Traffic classification is an important aspect in network operation and management, but challenging from a research perspective. During the last decade, several works have proposed different methods for traffic classification. Although most proposed methods achieve high accuracy, they present several practical limitations that hinder their actual deployment in production networks. For example, existing methods often require a costly training phase or expensive hardware, while their results have r...
Citació
Carela, V., Barlet, P., Mulla , O., Solé-Pareta, J. An autonomic traffic classification system for network operation and management. "Journal of network and systems management", 01 Juliol 2015, vol. 23, núm. 3, p. 401-419.
Paraules clau
Application identification, Deep packet inspection, Machine learning, Network monitoring, Self-adaptative system
Grup de recerca
CBA - Sistemes de Comunicacions i Arquitectures de Banda Ampla
CCABA - Centre de Comunicacions Avançades de Banda Ampla

Participants

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