In cloud computing environment, service composition provides an effective way to implement a composite service. This paper investigates the issue of optimization of cloud service selection and composition in cloud environment. First, a cloud service filtrating and composition optimization index system is proposed, which can be used to characterize and differentiate services with similar functions and narrow the selection scope of candidate cloud services according to user requirements for subsequent composition. Then an optimization method is introduced for cloud service composition, which contains a service filtrating process based on evidential reasoning approach before the mathematical model is established and resolved. After that, the case study in a travel planning scenario is presented, which shows the proposed method can quickly reduce the solution space and improve the efficiency of service composition in cloud environment.
展开▼
