Energy conservation in mobile devices and applications: A case for context parsing, processing and distribution in clouds

Authors:
Saad Liaquat Kiani;Ashiq Anjum;Nik Bessis;Richard Hill;Michael Knappmeyer
Affiliations:
Faculty of Engineering and Technology, University of the West of England, Bristol, UK;School of Computing and Mathematics, University of Derby, Derby, UK;School of Computing and Mathematics, University of Derby, Derby, UK;School of Computing and Mathematics, University of Derby, Derby, UK;Faculty of Engineering and Technology, University of the West of England, Bristol, UK and Faculty of Engineering and Computer Science, University of Applied Sciences Osnabrück, Osnabrück ...
Venue:
Mobile Information Systems
Year:
2013

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Abstract

Context information consumed and produced by the applications on mobile devices needs to be represented, disseminated, processed and consumed by numerous components in a context-aware system. Significant amounts of context consumption, production and processing takes place on mobile devices and there is limited or no support for collaborative modelling, persistence and processing between device-Cloud ecosystems. In this paper we propose an environment for context processing in a Cloud-based distributed infrastructure that offloads complex context processing from the applications on mobile devices. An experimental analysis of complexity based context-processing categories has been carried out to establish the processing-load boundary. The results demonstrate that the proposed collaborative infrastructure provides significant performance and energy conservation benefits for mobile devices and applications.