Research Of Dynamic Service Aggregation And Optimization Of Service Control In Convergent Network

With the advance of network integration, users need an intelligent service environment to dynamically aggregate capacities of different networks. Ontology-based Semantic Web Services is a new generation of Web Services technology, its open and standard service interface is a new way to provide heterogeneous network capacities. Intelligent agent as a user agent, should be able to collect user requirements, and aggregate heterogeneous network services for users according to user preference. Therefore, intelligent agent needs corresponding model and algorithm support in service on-demand dynamic aggregation.This paper first analyzes that the current level of network convergence lack of effective integration methods at service level, and proposed an intelligent service environment in convergent network. Then, for the lack of effective service aggregation technology in convergent network, this paper presents a user preferences-driven dynamic service aggregation model and the corresponding service aggregation algorithm. By analyzing the composition of user needs, this paper presents an ontology model of user preferences based on service scenario and user status, so that user preferences can function in service aggregation algorithm. Then, we do optimized design and implementation of intelligent agent framework according to the requirements analysis. Finally, through a practical application, this paper verifies that the dynamic service aggregation mechanism based on user demand is correct.