A trust-based selection approach for QoS-aware service composition provisions

Some Web Service Discovery and Composition (WSDC) approaches have been used to distinguish similar Web services by combining a collection of services using functionality of the service. Existing approaches for solving the WSDC problem focus mainly on the functional QoS properties of the service rather than the consumer satisfaction and trust aspects. However, different consumers regularly hold differing views of the service contents. Accordingly, the present study proposed a trust-based selection model for QoS-aware service selection referring to Shaikh et al.'s WSDC model considering both the direct rating and the collaborative rating in social trust networks. It appropriately reveals the customer satisfaction of a group on service compositions. The trust score aggregating both QoE (Quality of Experience) and QoC (Quality of Compliance) is introduced to discriminate the priority of service composition based on D-S evidence theory. Finally, an example of QOS-aware web services selection is illustrated to demonstrate the proposed approach. The proposed model effectively solves the trust transition problem in the collaborative rating of the service selection and also enables deception detection in terms of existing evidences that excludes the fraud reports of unreliable agents.