@inbook{d54b74eeb8b845c88cbe9d38c0c3c47a,
title = "Energy conservation in mobile devices and applications: A case for context parsing, processing and distribution in clouds",
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. {\textcopyright} 2013-IOS Press and the authors. All rights reserved.",
keywords = "Energy conservation, XML processing, cloud computing, mobile computing",
author = "Kiani, {Saad Liaquat} and Ashiq Anjum and Nik Bessis and Richard Hill and Michael Knappmeyer",
year = "2013",
doi = "10.3233/MIS-2012-0144",
language = "English",
isbn = "9780769545790",
series = "Mobile Information Systems",
publisher = "Hindawi Limited",
pages = "1--17",
booktitle = "Mobile Information Systems",
address = "United Kingdom",
}