Web Service Composition in Network Reputation – codeshoppy
The main research focus of Web services is to achieve the interoperability between distributed and heterogeneous applications. Therefore, flexible composition of Web services to fulfill the given challenging requirements is one of the most important objectives in this research field. However, until now, service composition has been largely an error-prone and tedious process. Furthermore, as the number of available web services increases, finding the right Web services to satisfy the given goal becomes intractable. In this paper, toward these issues, we propose an AI planning-based framework that enables the automatic composition of Web services, and explore the following issues. First, we formulate the Web-service composition problem in terms of AI planning and network optimization problems to investigate its complexity in detail. Second, we analyze publicly available Web service sets using network analysis techniques. Third, we develop a novel Web-service benchmark tool called WSBen. Fourth, we develop a novel AI planning-based heuristic Web-service composition algorithm named WSPR. Finally, we conduct extensive experiments to verify WSPR against state-of-the-art AI planners. It is our hope that both WSPR and WSBen will provide useful insights for researchers to develop Web-service discovery and composition algorithms, and software.
Web services are often considered to be one of themost important and vital building blocks for the“Semantic Web”. As such, the industrial support ofWeb services has grown drastically in recent years. Forexample, it is expected that by , 72 percent of allapplication development software will support Webservices, and 45 percent of all types of software will beWeb services enabled . As a growing number of Webservices are available on the Web and in organizations,finding and composing the right set of Web servicesbecome ever more important. Top 10 Android Projects
The main research focus of Web services is to achieveinteroperability between distributed and heterogeneousapplications. Therefore, flexible composition of Web servicesin order to fulfill the requirements of the tasks is one of themost important objectives in this research field. To date,however, many people have considered the service composi-tion to be an ad hoc, time-consuming, and error-proneprocess involving repetitive low-level programming . Toremedy these problems, in recent years, a plethora of researchwork and products on Web service composition (WSC) problems have appeared. In addition, the Web serviceresearch community has hosted competitive programs to solicit algorithms and soft-wares to discover pertinent Web services and composethem to make value-added functionality. We first showhow a WSC problem typically forms by illustrating a smallsize problem.
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