GlobeCon: a scalable framework for context aware computing

  • Authors:
  • Kaiyuan Lu;Doron Nussbaum;Jörg-Rüdiger Sack

  • Affiliations:
  • School of Computer Science, Carleton University, Ottawa, Ontario, Canada;School of Computer Science, Carleton University, Ottawa, Ontario, Canada;School of Computer Science, Carleton University, Ottawa, Ontario, Canada

  • Venue:
  • EuroSSC'07 Proceedings of the 2nd European conference on Smart sensing and context
  • Year:
  • 2007

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Abstract

In this paper, we propose a context framework reference model that aims at supporting distributed context aggregation, processing, provision and usage in ubiquitous computing environments. Based on this reference model, we introduce our design of GlobeCon, a scalable context management framework that can be embedded into context aware systems operating in local as well as wide area networks. One of the key aspects of GlobeCon is that it aggregates context information from largely distributed, heterogeneous and disparate sources in a hierarchical manner and presents context aware systems with a unified context access interface. GlobeCon is scalable in numerical, geographical and administrative dimensions, which is achieved by three means: (i) organizing context aggregation hierarchically, (ii) effectively distributing the load of context collection and context processing (i.e., interpreting and reasoning) among local context managers, and (iii) providing a dynamic federation of the distributed directory servers.