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Mobile Information Systems
Volume 9, Issue 1, Pages 1-17

Energy Conservation in Mobile Devices and Applications: A Case for Context Parsing, Processing and Distribution in Clouds

Saad Liaquat Kiani,1 Ashiq Anjum,2 Nik Bessis,2 Richard Hill,2 and Michael Knappmeyer1,3

1Faculty of Engineering and Technology, University of the West of England, Bristol, UK
2School of Computing and Mathematics, University of Derby, Derby, UK
3Faculty of Engineering and Computer Science, University of Applied Sciences Osnabrück, Osnabrück, Germany

Received 18 January 2013; Accepted 18 January 2013

Copyright © 2013 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.