Título:
Accurate, fine-grained classification of P2P-TV applications by simply counting packets
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Autor:
Valenti, Silvio
Rossi, Dario
Meo, Michela
Mellia, Marco
Bermolen, Paola
Rossi, Dario
Meo, Michela
Mellia, Marco
Bermolen, Paola
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Tipo de documento:
Ponencia
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Descriptores:
Telecomunicaciones
Año de publicación:
2009
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Resumen:
We present a novel methodology to accurately classify the traffic generated by P2P-TV applications, relying only on the count of packets they exchange with other peers during small time-windows. The rationale is that even a raw count of exchanged packets conveys a wealth of useful information concerning several implementation aspects of a P2P-TV application such as network discovery and signaling activities, video content distribution and chunk size, etc. By validating our framework, which makes use of Support Vector Machines, on a large set of P2P-TV testbed traces, we show that it is actually possible to reliably discriminate among different applications by simply counting packets.
Descripción:
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Springer
EN:
Papadopouli M., Owezarski P., Pras A. (eds) Traffic Monitoring and Analysis. TMA 2009. Lecture Notes in Computer Science, vol 5537. Berlin, Papadopouli M., Owezarski P., Pras A. (eds) Traffic Monitoring and Analysis. TMA 2009. Lecture Notes in Computer Science, vol 5537, Berlin, Springer, 2009.
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Citación:
Valenti, S, Rossi, D, Meo, M, Mellia, M, Bermolen, P. “Accurate, fine-grained classification of P2P-TV applications by simply counting packets”. Papadopouli M., Owezarski P., Pras A. (eds) Traffic Monitoring and Analysis. TMA 2009. Lecture Notes in Computer Science, vol 5537. Berlin : Springer, 2009.. doi: https://doi.org/10.1007/978-3-642-01645-5_10
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Departamento académico:
Telecomunicaciones
Grupo de investigación:
Análisis de Redes, Tráfico y Estadísticas de Servicios
Licencia:
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| VRMMB09.pdf | — | 341.65 KB | Adobe PDF |