Scalable processing of context information with COSMOS

  • Authors:
  • Denis Conan;Romain Rouvoy;Lionel Seinturier

  • Affiliations:
  • GET, INT, CNRS Samovar, Évry, France;University of Oslo, Department of Informatics, Oslo, Norway;INRIA-Futurs, LIFL, Université des Sciences et Technologies de Lille, Villeneuve d'Ascq, France

  • Venue:
  • DAIS'07 Proceedings of the 7th IFIP WG 6.1 international conference on Distributed applications and interoperable systems
  • Year:
  • 2007

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Abstract

Ubiquitous computing environments are characterised by a high number of heterogeneous devices that generate a huge amount of context data. These data are used to adapt applications to changing execution contexts. However, legacy frameworks fail to process context information in a scalable and efficient manner. In this paper, we propose to organise the classical functionalities of a context manager to introduce a 3-steps cycle of data collection, interpretation, and situation identification. We propose the COSMOS framework, which is based on the concepts of context node and context management policies translated into software components in software architecture. This paper presents COSMOS and evaluates its efficiency throughout the example of the composition of context information to implement a caching/offloading adaptation situation.