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Energy-latency trade-off for multiuser wireless computation offloading

Author
Muñoz, O.; Pascual Iserte, A.; Vidal, J.; Molina, M.
Type of activity
Presentation of work at congresses
Name of edition
Workshop on Cloud Technologies and Energy Efficiency in Mobile Communication Networks 2014
Date of publication
2014
Presentation's date
2014-04
Book of congress proceedings
2014 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) took place 6-9 April 2014 in Istambul, Turkey
First page
29
Last page
33
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/WCNCW.2014.6934856 Open in new window
Project funding
Distributed computing, storage and radio resource allocation over cooperative femtocells
GRE3N-LINK-MAC. Conceptos radio generales para comunicaciones móviles eficientes energéticamente: aspectos de las capas de enlace y de acceso al medio
Macrocelulas y Femtocelulas en Sistemas con Técnicas Avanzadas de Coordinación de la Interferencia y Cooperación
Repository
http://hdl.handle.net/2117/24643 Open in new window
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6934856 Open in new window
Abstract
This paper addresses the trade-off between latency and energy consumption in wireless application offloading in a multiuser set-up. The advantages of carrying out offloading versus executing an application locally at the user terminal depend on multiple parameters. This paper evaluates the impact that the transmission rate and the load of the system have on the quality of service experienced by the users as well as on the energy saving that the users get from doing offloading. Based on this eval...
Citation
Muñoz, O. [et al.]. Energy-latency trade-off for multiuser wireless computation offloading. A: IEEE Wireless Communications and Networking Conference. "2014 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) took place 6-9 April 2014 in Istambul, Turkey". Estambul: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 29-33.
Keywords
Application offloading, Energy consumption, Femtocloud, Multiuser
Group of research
SPCOM - Signal Processing and Communications Group

Participants