Web Service Composition Method Based On User Preferences

In recent years, with the rapid development of electronic commerce, a lot of Web services emerge, service providers will also continue to integrate existing Web services to form a new, value-added services, to continue to meet the needs of users. However, the user’s needs can be met, but also focus on how to pick out from the mass of the same functionality of Web Services to meet their own needs to feel powerless. Therefore, how to effectively meet the user’s preference to pick out a combination of Web services, especially the specific needs of the user Web composite services, gradually become a hot academic research. At present, some of the Web service composition method based on QoS research method, use some predefined constraints on the local concentration of atoms in each service candidate screening services, or does not pay attention to the user’s preferences, to treat the weight of each subtask QoS equally, or to see the importance of each task as the same. These are contrary to the user habit of daily life. Therefore, this article from the user’s point of view, the Web service composition method based on user preferences to do the following research work:Firstly, establish the user preferences based Web service composition framework. After studying on the existing Web services architecture, combined the characteristics of service composition with requirements of QoS, a user preferences based web service composition framework was proposed. In the portfolio of services customized modules, users can set preferences for each sub-task as well as QoS indicators; In the service selection and execution module, the user can make timely service portfolio planning feedback, do not meet the needs of users planning to re-customize. The framework can be various combinations of process modeling services, standardize processes across a combination of Web services, to better meet the user’s preferences.Secondly, service portfolio in global constraint decomposition. In this paper, FAHP method to get the user’s preferences, set the weights for each sub-task and global constraint decomposition according to the user’s preference, these local constraints of each sub-task right information and the resulting information is sent to the service re-select module.Thirdly, meet the local constraints of two screening process. By a large number of candidate service set the same functional type of non-functional composition of the Web service, service selection module uses cskyline algorithm first screening of candidate service set downsizing candidate set of services, and the use of N-FAHP method to determine the user at the right weight for each QoS indicators subtasks. On this basis, we follow the weights of each sub-task size, method of screening using a combination of two screening services, as high as possible to improve user satisfaction with the Web service composition planning.Finally, the paper mainly focuses on the user’s preference choice of services closely related to the user’s subjectivity, different users due to their different preferences, the results of running the service was likely to be different, user satisfaction with the service portfolio also because people varies, so you can not test the validity of the simulation method. Therefore, this article borrows an instance of the user to verify the feasibility of travel and operability of this method.