A hierarchical and multi-criteria knowledge dissemination in autonomic networks

Autonomic computing is a new paradigm inspired by the biological world. It aims at making a network independent of any human monitoring. To reach such autonomy, knowledge should be disseminated over the network, which remains an open problem. Our solution consists in proposing a new model of knowledge dissemination based on three key ideas: a hierarchical architecture, a specific-service overlay network (SSON) and a multi-criteria selection of a subset of nodes responsible for knowledge management. The simulation results show that the proposed approach significantly improves performances compared to other approaches.