Autonomic Adaptation solution based on Service-Context Adequacy Determination

Authors:
Marcel Cremene;Michel Riveill;Christian Martel
Affiliations:
Dep. Communications, Technical University of Cluj-Napoca, Cluj-Napoca, Romania;Lab. I3S, Eq. Rainbow, CNRS, Université de Nice, Sophia-Antipolis, France;Lab. SysCom, Université de Savoie, Chambery, France
Venue:
Electronic Notes in Theoretical Computer Science (ENTCS)
Year:
2007

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Abstract

Autonomic adaptation is a very ambitious emerging domain aiming to build self-adaptable systems. The most important advantages of these systems are: easier complexity management, autonomous service evolution and proactive behaviour. In the 'classical' service adaptive systems, the developer must solve 'manually' two problems. The first one is to determine a priori the service adequacy to each possible context. The second one depends on the first one and it is to specify a strategy, a reconfiguration suite, which will transform an inadequate service into an adequate one. In order to replace the developer-based reasoning with a machine-based one, we propose a meta-model describing the service and its context into a common graph representation. A set of general rules and operators applied on this meta-model enables the machine to check the service adequacy to its context. The same meta-model is used for searching the adaptation strategy.