Towards a Standards-Based Autonomic Context Management System

  • Jadwiga Indulska
  • Karen Henricksen
  • Peizhao Hu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4158)

Abstract

Pervasive computing applications must be sufficiently autonomous to adapt their behaviour to changes in computing resources and user requirements. This capability is known as context-awareness. In some cases, context-aware applications must be implemented as autonomic systems which are capable of dynamically discovering and replacing context sources (sensors) at run-time. Unlike other types of application autonomy, this kind of dynamic reconfiguration has not been sufficiently investigated yet by the research community. However, application-level context models are becoming common, in order to ease programming of context-aware applications and support evolution by decoupling applications from context sources. We can leverage these context models to develop general (i.e., application-independent) solutions for dynamic, run-time discovery of context sources (i.e., context management). This paper presents a model and architecture for a reconfigurable context management system that supports interoperability by building on emerging standards for sensor description and classification.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jadwiga Indulska
    • 1
  • Karen Henricksen
    • 1
  • Peizhao Hu
    • 1
  1. 1.School of Information Technology and Electrical EngineeringThe University of Queensland, and, National ICT Australia (NICTA) 

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