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. © 2013-IOS Press and the authors. All rights reserved.
|Title of host publication||Mobile Information Systems|
|Number of pages||17|
|Publication status||Published - 2013|
|Name||Mobile Information Systems|
Kiani, S. L., Anjum, A., Bessis, N., Hill, R., & Knappmeyer, M. (2013). Energy conservation in mobile devices and applications: A case for context parsing, processing and distribution in clouds. In Mobile Information Systems (pp. 1-17). (Mobile Information Systems; Vol. 9). Hindawi Limited. https://doi.org/10.3233/MIS-2012-0144