Affiliations: Faculty of Engineering and Technology, University of
the West of England, Bristol, UK | School of Computing and Mathematics, University of
Derby, Derby, UK | Faculty of Engineering and Computer Science,
University of Applied Sciences Osnabrück, Osnabrück, Germany
Note: [] Corresponding author: Prof. Nik Bessis, School of Computing and
Mathematics, University of Derby, Kedleston Road, Derby, DE22 1GB, UK. Tel.:
+44 1332592108; Fax: +44 1332597741; E-mail: [email protected]
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.
Keywords: Energy conservation, mobile computing, cloud computing, XML processing
