Abstract.

Computing and networking technologies are becoming ever more pervasive in order to support their users’ increasingly dynamic lifestyles. The technologies aim to enhance the networks’ awareness of their users’ requirements. At the same time, they strive to reduce the amount of manual reconfiguration and explicit interaction between the users and the network resources. The main problem is the spontaneity of the resources’ context. To address these issues, we investigated the use of emerging semantic web technologies, and fuzzy reasoning. We dealt with the specific problem of reconfiguring networks at runtime by semantically modeling the context and the network information using the Web Ontology Language. We also developed a fuzzy-based reasoning machinery to achieve automated adaptability in uncertain conditions. In this paper, we provide an analysis of the designed and developed ontologies and of the reasoning machinery required to increase the networks’ awareness of their context. We report on the experiments we conducted to evaluate the techniques we are proposing.