A Graph-Based Approach for Contextual Service Loading in Pervasive Environments

  • Authors:

  • Amira Hamida;Frédéric Mouël;Stéphane Frénot;Mohamed Ahmed

  • Affiliations:

  • INRIA Amazones, CITI Lab., INSA Lyon, Villeurbanne Cedex, France F-69621;INRIA Amazones, CITI Lab., INSA Lyon, Villeurbanne Cedex, France F-69621;INRIA Amazones, CITI Lab., INSA Lyon, Villeurbanne Cedex, France F-69621;INRIA Amazones, CITI Lab., INSA Lyon, Villeurbanne Cedex, France F-69621

  • Venue:
  • OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
  • Year:
  • 2008

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Abstract

The pervasive computing paradigm promises great abilities whenever and wherever a user goes. However, as people are shifting from the desktop to more resource-constrained devices, issues due to scarce resources may appear preventing from the use of the available services and applications. In this paper, we consider the adaptive deployment as a mainstream solution to suit service-oriented applications to different context constraints such as the users requirements, the hosts resources, the services properties and the surrounding environments. We put forward a graph-based deployment approach for service-based applications so as to make these applications adaptable to the runtime contextual constraints. We introduce the AxSeL architecture, A conteXtual Service Loader in which services and their dependencies are represented as a bidimensional graph. The dependency graph is then coloured through a process taking into account the devices, services and users constraints. This process aims to choose to load or not a service according to its execution context. A prototype based on Java and OSGi technologies is implemented in order to demonstrate and evaluate our approach.