Abstract
The large diversity and heterogeneity of collaborating objects and services in modern networking environments such as personal, vehicular or home networks makes difficult the efficient configuration, deployment and management of composite dynamic systems without a major participation of human actors. This paper proposes an autonomic architecture based on decision models built on ontologies and aimed at self-configuring and self-adapting information networks. Our work follows a top-down approach based on well-known and accepted standards. A detailed structure composite diagram is illustrated to describe AODA modules and show how they interact together. Our proposition had been implemented as an ecosystem-wide ontology aimed at characterising the properties of services and events related to consumers and producers entities participating in the information network. We propose a smart metering use case to compute the overload generated by our solution in handling a large number of objects.
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