Semantic multi-criteria decision making in autonomous embedded systems [Elektronische Ressource] / von Ghadi Mahmoudi

Semantic Multi-Criteria Decision Making in Autonomous Embedded Systems Von der Fakultät für Elektrotechnik und Informatik der Gottfried Wilhelm Leibniz Universität Hannover zur Erlangung des Grades eines DOKTORS DER INGENIEURWISSENSCHAFTEN Dr.-Ing. genehmigte Dissertation von M. Sc. Ghadi Mahmoudi geboren am 10 Oktober 1975, in Latakia, Syrien 2009 Referent: Prof. Dr.-Ing. C. Müller-Schloer Koreferent: Prof. Dr. Nicola Henze Tag der Promotion: 26. Juni 2009 Summary The increasing complexity of modern computer systems emerges as a real challenge for both the users and the designers. According to the innovative vision of Organic Computing systems, the system components will profit from their autonomy to perform a self-organization, and subsequently, to reach a high degree of adaptivity. The goal of this thesis is to investigate the vision of Organic Computing and its realization in embedded computer systems. An interdisciplinary methodology called “Semantic Multi-Criteria Decision Making” (SeMCDM), has been suggested and evaluated regarding different aspects. The new methodology adopts a marketplace-oriented behavior pattern for the autonomous system components. The shift of the design decisions from the human designer to the autonomous system components implies a balancing knowledge transfer in the same direction.