Service-Context Unified Knowledge Representation for Autonomic Adaptation

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.