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.
|Title of host publication||Proceedings 3rd IEEE Consumer Communications and Networking Conference (CCNC-2006)|
|Place of Publication||Las Vegas, NV|
|Publication status||Published - Jan 2006|
- context-aware computing
- autonomic computing
- autonomic communication
- context prediction
- smart homes
- Computer Science
- Hardware &
- Electrical &
Mulvenna, M., Nugent, CD., Gu, X., Shapcott, M., Wallace, J., & Martin, S. (2006). Using Context Prediction for Self-Management in Ubiquitous Computing Environments. In Proceedings 3rd IEEE Consumer Communications and Networking Conference (CCNC-2006) (pp. 600-605). Las Vegas, NV: IEEE.