Service-context unified knowledge representation for autonomic adaptation

  • Authors:
  • Marcel Cremene;Michel Riveill

  • Affiliations:
  • Technical University of Cluj-Napoca, Cluj-Napoca, Romania;University of Nice, Sophia-Antipolis, France

  • Venue:
  • CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
  • Year:
  • 2007

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Abstract

Autonomic computing is a very ambitious domain dealing with issues such as system self-management, proactive services and adaptation to unpredicted situations. The development of ubiquitous computing have shown also the importance of adapting the services to their context. In general, a service cannot adapt autonomously to its context beyond the limits fixed a priori by its developer. In order to overcome this limitation, we propose a dynamically updatable service-context model (knowledge representation) that enables an adaptation platform to diagnose the service adequacy to context and automatically search for solutions in order to correct the inadequacy.