Research On The Management And Aggregation Technique Of Autonomous Service

Due to the dynamics and nondeterminacy of Internet environment, the Web services on it represent the features: dynamic, openness, diversity etc., with the dilatation of Web service scale and quantity, it is becoming a huge challenge that how to autonomously manage and efficiently assemble a plenty of Web services. To overcome these problems this paper proposes an autonomous service aggregation approach based on Agent and semantic Web service technique, which can support the management of Web services and respond to the dynamic feature of Web services. The main work of this paper includes:1) Proposing the management model of autonomous service base on autonomous service technology. The management model use services communities to manage services, which are decentralized in logic and physical, and every services community manages the Web services that are accordant with its responsibility. This manage architecture avoid the single point of failures and performance bottlenecks.2) Proposing aggregation technologies of autonomous service. With the use of the software Agent technology and semantic Web service technique, this paper designs and proposes a semantic-based aggregation model and algorithms of autonomous service. With the help of agent interaction mechanism communities can make the web services autonomously assembled into the relevant community in a self-organization way, and can manage the web services in categorization.3) Designing and implementing the autonomous service aggregation and management platform. This paper designs and implements the autonomous service aggregation and management platform based on the JADE framework and the monitor technique of Web service. The platform can set up and manage services communities, and the services communities can make services autonomous and autonomation aggregation.Finally we make the experiments based on the public test data set and implement one case that simulates the actual application scenario. The results of experiments and the effect of case show that the technologies of autonomous service management and aggregation are feasible and effective.