Energy conservation in mobile devices and applications: A case for context parsing, processing and distribution in clouds

Saad Liaquat Kiani, Ashiq Anjum, Nik Bessis, Richard Hill, Michael Knappmeyer

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

6 Citations (Scopus)

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. © 2013-IOS Press and the authors. All rights reserved.
Original languageEnglish
Title of host publicationMobile Information Systems
PublisherHindawi Limited
Pages1-17
Number of pages17
ISBN (Print)9780769545790
DOIs
Publication statusPublished - 2013
Externally publishedYes

Publication series

NameMobile Information Systems
Volume9

Fingerprint

Dive into the research topics of 'Energy conservation in mobile devices and applications: A case for context parsing, processing and distribution in clouds'. Together they form a unique fingerprint.

Cite this