Por favor, use este identificador para citar o enlazar este ítem:
https://hdl.handle.net/20.500.12008/49645
Cómo citar
| Título: | An abacus for P2P-TV traffic classification. |
| Autor: | Valenti, Silvio Rossi, Dario Meo, Michela Mellia, Marco Bermolen, Paola |
| Tipo: | Preprint |
| Palabras clave: | P2P-TV |
| Fecha de publicación: | 2009 |
| Resumen: | This demo focuses on the online classification of traffic generated by P2P-TV applications, live video delivering services used by an ever increasing number of users worldwide.
We designed a novel behavioural technique, which is able to reliably identify P2P-TV traffic simply based on raw counts of packets and bytes exchanged by the application during small-time windows. The demo software aims at showing the classification process and results, allowing users to interact on a simple active testbed with different live running P2P-TV applications. |
| Citación: | Valenti, S., Rossi, D., Meo, M. y otros. An abacus for P2P-TV traffic classification [Preprint]. Publicado en: IEEE INFOCOM 2009, Rio de Janeiro, Brazil, 19-25 apr. 2009, p. 1-2. |
| Licencia: | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| Aparece en las colecciones: | Publicaciones académicas y científicas - IMERL (Instituto de Matemática y Estadística Rafael Laguardia) |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| VRMMB09.pdf | Preprint | 212,54 kB | Adobe PDF | Visualizar/Abrir |
Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons
