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Using Context Prediction for Self-Management in Ubiquitous Computing Environments

Mulvenna, Maurice, Nugent, CD, Gu, X., Shapcott, M., Wallace, Jonathan and Martin, Suzanne (2006) Using Context Prediction for Self-Management in Ubiquitous Computing Environments. In: Proceedings 3rd IEEE Consumer Communications and Networking Conference (CCNC-2006). IEEE, Las Vegas, NV, pp. 600-605. ISBN 1-4244-0086-4 [Book section]



Autonomic computing provides mechanisms for the self-management of computing systems. This paper proposes context prediction as an autonomic mechanism to improve the usability of ubiquitous computing environments; in our case, for behavioral prediction in an environment that supports independent living for ageing people. A purpose of this paper is to stimulate debate on how best to improve ubiquitous computing environments for those who inhabit them; in particular for those ageing people who wish to continue to live independently. We propose a layered and extensible context architecture that provides self-managed and self-configuration capabilities. In particular, in addition to the context provider and context service layers, we propose context prediction and context fusion layers with cross-layer context-quality capabilities. We envisage a distributed peer-to-peer architecture with some form of semantic overlay network facilitating autonomic communications within and beyond the ubiquitous home environment.

Item Type:Book section
Keywords:context-aware computing; autonomic computing; autonomic communication;context prediction; smart homes Computer Science, Hardware & Architecture; Engineering, Electrical & Electronic; Telecommunications
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
ID Code:912
Deposited By: Professor Maurice Mulvenna
Deposited On:25 Mar 2010 16:36
Last Modified:17 Oct 2017 15:34

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