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.
Year
DOI
Venue
2013
10.3233/MIS-2012-0144
Mobile Information Systems
Keywords
Field
DocType
proposed collaborative infrastructure,significant performance,collaborative modelling,context parsing,context information,context consumption,mobile device,significant amount,context processing,energy conservation,context-aware system,complex context processing,cloud computing,mobile computing
Mobile computing,Energy conservation,Mobile search,Computer science,Xml processing,Mobile device,Parsing,Distributed computing,Cloud computing
Journal
Volume
Issue
ISSN
9
1
1574-017X
Citations 
PageRank 
References 
4
0.47
14
Authors
5
Name
Order
Citations
PageRank
Saad Liaquat Kiani123520.17
Ashiq Anjum233338.33
Bessis, N.380688.01
Richard Hill47717.96
Michael Knappmeyer5788.39