User preferences-driven dynamic service aggregation model in convergent network

For the lack of effective methods of service aggregation in convergent network and diversification of user needs, we proposed a user preferences-driven dynamic service aggregation model (UPDDSAM) and the corresponding aggregation algorithm. This model implements run-time aggregation of service processes and service resources by adopting dynamic rules and late-binding technology. At the same time we also presents an ontology model of user preferences based on service scenario and user status, making the service aggregation more user-centric. Finally, through the case study of a practical application “Remote Healthcare”, we verify the validity of the model.