Autor según el artículo: Chaabouni, R.; Sánchez-Artigas, M.; García-López, P.; Pàmies-Juàrez, L.

Departamento: Enginyeria Informàtica i Matemàtiques

Autor/es de la URV: CHAABOUNI -, RAHMA; SANCHEZ ARTIGAS, MARC; GARCÍA LÓPEZ, PEDRO ANTONIO; PAMIES JUAREZ, LLUIS

Resumen: Users are unceasingly relying on personal clouds (like Dropbox, Box, etc) to store, edit and retrieve their files stored in remote servers. These systems generally follow a client–server model to distribute the files to end-users. This means that they require a huge amount of bandwidth to meet the requirements of their clients. Personal clouds with limited bandwidth budget can benefit from the upload speed of the clients interested in the same content to improve the quality of service. This can be done by introducing a peer-to-peer protocol, BitTorrent for instance, when the load on a certain content becomes high. The main challenge is to decide when to switch to BitTorrent and how to allocate the cloud's available bandwidth to the different clients. In this paper, we propose an algorithm for the allocation of the cloud׳s bandwidth. Based on the current load and the predefined quality of service constraints, the algorithm identifies the most suitable protocol for each swarm and provides the corresponding bandwidth allocation. We validate the algorithm using a real trace of the Ubuntu One system and the results show important gains in the download times experienced by the clients.

Grupo de investigación: Arquitectura i Serveis Telemàtics

Áreas temáticas: Mathematics Matemáticas Matemàtiques

Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/

ISSN: 1084-8045

Identificador del autor: 0000-0002-9196-1397; 0000-0002-9700-7318; 0000-0002-9848-1492;

Fecha de alta del registro: 2017-06-14

Página final: 71

Volumen de revista: 65

Versión del articulo depositado: info:eu-repo/semantics/submittedVersion

Enlace a la fuente original: http://www.psicothema.com/psicothema.asp?id=4351

Programa de financiación: plan; Servicios Cloud y Redes Comunitarias; Cloud4Comm; TIN-2013-47245-C2-2-R european; IOStack: Software-Defined Storage for Big Data; IOSTACK; 644182

DOI del artículo: 10.7334/psicothema2016.113

Entidad: Universitat Rovira i Virgili

Año de publicación de la revista: 2016

Página inicial: 48

Tipo de publicación: Article Artículo Article