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

机译:QoS感知服务组合规定的基于信任的选择方法

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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.
机译:一些Web服务发现和组合(WSDC)方法已用于通过使用服务功能组合服务集合来区分相似的Web服务。解决WSDC问题的现有方法主要集中在服务的功能QoS属性上,而不是在消费者满意度和信任方面。但是,不同的消费者经常对服务内容持有不同的看法。因此,本研究提出了一种基于信任的选择模型,该模型参考了Shaikh等人的WSDC模型,同时考虑了社会信任网络中的直接评级和协作评级,从而用于QoS感知服务选择。它适当地揭示了一个团队在服务组合方面的客户满意度。引入了融合了QoE(体验质量)和QoC(合规质量)的信任度分数,以基于D-S证据理论来区分服务组合的优先级。最后,说明了一个选择QOS的Web服务的示例,以演示所提出的方法。所提出的模型有效地解决了服务选择协作评级中的信任转移问题,并且还可以根据排除不可靠代理人欺诈报告的现有证据进行欺骗检测。

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