z-logo
open-access-imgOpen Access
Energy-Efficient Computation Offloading for Wearable Devices and Smartphones in Mobile Cloud Computing
Author(s) -
Claudio Ragona,
Fabrizio Granelli,
Claudio Fiandrino,
Dzmitry Kliazovich,
Pascal Bouvry
Publication year - 2014
Publication title -
2015 ieee global communications conference (globecom)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1109/glocom.2014.7417039
Subject(s) - cloud computing , wearable computer , computer science , wearable technology , mobile device , smartwatch , mobile cloud computing , mobile computing , embedded system , computation , distributed computing , computer network , operating system , algorithm
Wearable devices are becoming increasingly popular and are expected to become essential in our everyday life. Despite 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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom