Energy Conservation in Mobile Devices and Applications: A Case for Context Parsing, Processing and Distribution in Clouds | Zendy

Saad Liaquat Kiani | Zendy; Ashiq Anjum | Zendy; Nik Bessis | Zendy; Richard Hill | Zendy; Michael Knappmeyer | Zendy

Open Access

Energy Conservation in Mobile Devices and Applications: A Case for Context Parsing, Processing and Distribution in Clouds

Author(s) -

Saad Liaquat Kiani,

Ashiq Anjum,

Nik Bessis,

Richard Hill,

Michael Knappmeyer

Publication year - 2013

Publication title -

mobile information systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.346

H-Index - 34

eISSN - 1875-905X

pISSN - 1574-017X

DOI - 10.1155/2013/782729

Subject(s) - computer science , context (archaeology) , mobile device , cloud computing , context awareness , energy consumption , parsing , mobile computing , energy conservation , context management , distributed computing , human–computer interaction , ubiquitous computing , world wide web , operating system , artificial intelligence , paleontology , ecology , linguistics , philosophy , phone , biology

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.

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