For Web Services Application Integration Ant Colony Optimization Algorithm

With the development of web services, the concept of software service prevails in IT industry. The nice openness, cooperation and independence on software & os make web services the optimal technique to settle the integration of heterogeneous system.Current web services application integration adopts passive interactive model, web service shows activation by the defining operation of the interface. If web service is autonomic and only supports temporary cooperation, this passive mode may have a huge limit: because temporary cooperation doesn't use any predetermined arrangement. In order to support the high level operation process, the service must dynamically find the right collaborator. It is necessary to build a dynamic and temporary interactive relation among the web services to ease the finding of real time demand oriented connection. A good web service can be found through the relations mentioned above. The finding of a good dynamic web service with a fastest and most economic way is the problem of finding the optimization path. The task of the paper is to find the optimization path in the integration of web services oriented application based on improved ant colony algorithm.In the paper, firstly, we introduce the principle of the basic ant colony algorithm, and make research on its mechanism analysis and its characteristics. We propose a new algorithm based on the basic ant colony algorithm. Then the core technologies (XML, SOAP, WSDL, and UDDI) and extended protocol stack of web services are discussed, and a service-oriented model frame is proposed. We also discuss the feasibility of finding the optimization path in the integration of web services oriented application.Finally, combining the knowledge in the probability stat., the paper proves the convergence of shortest path using ant colony algorithm and gives a valid emulation graph.The application integrated improved ant colony algorithm which is oriented towards web services was proved by system simulation that it can effectively find the web service in need. As a result, it can improve the utility rate. So the proposed algorithm has an important impact on the improvement of the quality of web services and it can also yield great economic returns. Since the application integrated problem which is oriented towards Web Service is a new technical one, it is of great importance to expand the study of ant colony algorithm from application research to application integrated one oriented towards Web Services.