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Integrated quality of user experience and quality of service approach to service selection in internet of services

机译:服务网络中用户选择的综合体验质量和服务质量方法

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摘要

Discovery and retrieval of an ideal service in an SOA-like infrastructure comprising a resource-constrained hosting platform is really a challenging job. In this paper, we propose the simple service selection component for IoS, which selects the services that have maximum utility value over Quality of Services (QoS) and Quality of User Experience (QoUE) attributes. The novelty behind the proposed middleware development is in achieving high-degree configuration and customisability by selecting a subset of middleware functionality depending on the need. The conventional service selection approaches do not consider QoUE and QoS as a whole; they expect the user to provide a set of QoS constraints. The selection approach is based on the MAUT (Multi-Attribute Utility Theory) decision-making method. The experimental results are encouraging and the middleware performs well when compared to the constraint model and linear programming models.
机译:在包含资源受限的托管平台的类似SOA的基础架构中发现和检索理想服务确实是一项艰巨的任务。在本文中,我们提出了用于IoS的简单服务选择组件,该组件选择在服务质量(QoS)和用户体验质量(QoUE)属性上具有最大效用价值的服务。所提出的中间件开发背后的新颖之处在于,可以根据需要选择中间件功能的子集来实现高级配置和可定制性。常规的服务选择方法并没有整体考虑QoUE和QoS。他们希望用户提供一组QoS约束。选择方法基于MAUT(多属性效用理论)决策方法。与约束模型和线性编程模型相比,实验结果令人鼓舞,并且中间件性能良好。

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