Energy-Efficient Computation Offloading for Wearable Devices and Smartphones in Mobile Cloud Computing

Ragona, Claudio; Fiandrino, Claudio; Kliazovich, Dzmitry; Granelli, Fabrizio; Bouvry, Pascal

Reference : Energy-Efficient Computation Offloading for Wearable Devices and Smartphones in Mobil...


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/21864

Title :	Energy-Efficient Computation Offloading for Wearable Devices and Smartphones in Mobile Cloud Computing
Language :	English
Author, co-author :	Ragona, Claudio []
	Fiandrino, Claudio [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Kliazovich, Dzmitry [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Granelli, Fabrizio []
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	Dec-2015
Main document title :	IEEE Global Communications Conference (GLOBECOM), San Diego, CA, USA, 2015
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	IEEE Global Communications Conference (GLOBECOM)
Event date :	December 2015
Keywords :	[en] Mobile cloud computing ; Wearable devices ; Computation offloading
Abstract :	[en] Wearable devices are becoming increasingly popu- lar and are expected to become essential in our everyday life. De- spite continuous improvement of hardware, the lifetime of mobile devices and their capabilities still remain a concern. Small size of batteries of smart watches, glasses, helmets and gloves limits the amount of computing, storage and communication resources. Mobile cloud computing can augment the capabilities of wearable devices by helping to execute some of the computing tasks in the cloud. Such computational offloading helps to preserve battery power at the cost of more intensive communications with the cloud. In this paper, we present a model and comprehensive analysis for computational offloading between wearable devices and clouds in realistic setups.
Permalink :	http://hdl.handle.net/10993/21864

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