Título:
End-to-end quality of service prediction based on functional regression
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Autor:
Aspirot, Laura
Belzarena, Pablo
Perera, Gonzalo
Bazzano, Bruno
Belzarena, Pablo
Perera, Gonzalo
Bazzano, Bruno
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Tipo de documento:
Preprint
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Palabras clave:
End-to-end active measurements
Nonstationary
QoS
Functional regression.
Nonstationary
QoS
Functional regression.
Descriptores:
TELECOMUNICACIONES
Año de publicación:
2005
Contenido:
Resumen:
This work focuses on quality of service (QoS) estimation based on end-to-end active measurements. The main problem is to continuously monitor the QoS that will receive a multimedia application in a path between two agents on the Internet. We want to estimate the QoS without sending heavy multimedia tra±c in order to measure its QoS parameters (delay, losses, jitter, etc.). In this paper we extend a recent work of Ferraty et al. [5] on functional nonparametric regression. We generalize it to include a very important case on the Internet: nonstationary traffic. We apply this result to our problem describing an end-to-end active measurement methodology. We also show by simulations how it predicts the QoS of a multimedia application in a link where its capacity and buffer sizes are unknown. The cross traffic is also unknown and can be a nonstationary process. Keywords. End-to-end active measurements, nonstationary, QoS, functional regression.
Descripción:
Trabajo presentado en el 2do. Encuentro Regional de Probabilidad y Estadística Matemática, EPREM. Buenos Aires, Argentina, 2005
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Citación:
Aspirot, L, Belzarena, P, Perera, G., Bazzano, B. End-to-end quality of service prediction based on functional regression [Preprint] Publicado en 2o. Encuentro Regional de Probabilidad y Estadística Matemática, EPREM. Buenos Aires, Argentina, 2005
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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)
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| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| ABPB05.pdf | — | 161.63 KB | Adobe PDF |