Service Composition Method Based On Fuzzy Petri Net

With the rapid development of the software industry,the distributed application system based on SOC and SOA quickly seize the market.In this environment,the number of Web services on the Internet is growing rapidly.But most of the services on the Internet are all in isolation and provide a simple function.So,when the need to meet the strong personality,can not expect those features a single service to meet their needs.Therefore,in the face of more and more prominent personality of the case,we focus on how to improve the efficiency of Web service composition.In this paper,we study the automatic combination of Web services with the help of fuzzy Petri net.The main work of this paper is as follows: because of the difference of the different Web service function,we propose the two layer Qo S model service selection algorithm,which is based on the functional grouping,which lays a good foundation for Web service composition;based on the knowledge of Petri net and fuzzy Petri net,the service dependency relationship in IOPE service matching is studied,and a new method to construct service dependency graph is proposed;In to the service dependency graph of reverse reasoning process,reverse search adjacency matrix is established,and the matrix order to simplify the matrix dimension,then according to the target output library search related precursors by library.Using the reverse search method,reduced the amount of calculation,improve the efficiency of the algorithm.