Using Context Prediction for Self-Management in Ubiquitous Computing Environments

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

4 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationProceedings 3rd IEEE Consumer Communications and Networking Conference (CCNC-2006)
Place of PublicationLas Vegas, NV
ISBN (Print)1-4244-0086-4
Publication statusPublished (in print/issue) - Jan 2006

Bibliographical note

Mulvenna, Maurice Nugent, Chris Gu, Xiaoyuan Shapcottt, Mary Wallace, Jonathan Martin, Suzanne25


  • context-aware computing
  • autonomic computing
  • autonomic communication
  • context prediction
  • smart homes
  • Computer Science
  • Hardware &amp
  • Architecture
  • Engineering
  • Electrical &amp
  • Electronic
  • Telecommunications


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