Quantitative Trust Management to Support QoS-Aware Service Selection in Service-Oriented Environments

Yukyong Kim, Kyung-Goo Doh
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引用次数: 5

Abstract

Owing to the black-box nature of services, selecting a trustworthy service that best fits users' requirements is greatly critical in service-oriented computing. Once a set of services fulfilling users' functional requirements are founded, one of these services invoked by the users depends mostly on the Quality of Services (QoS), particularly security, trust, and reputation. This paper proposes a trust management model to support service discovery and selection based on QoS. We define a quantitative trust evaluating method for dynamic service discovery and selection. The proposed model makes service consumers get trustworthy services possible. Our mechanism uses consumers' feedback to describe the trust degree of services and service providers. The service selection using the quantitative measurement rather than consumers' intuition allows selecting a highly reliable service accomplishing their quality requirements well. Finally, we give experimental results.
支持面向服务环境中qos感知服务选择的定量信任管理
由于服务的黑箱特性,在面向服务的计算中,选择最适合用户需求的可靠服务非常关键。一旦建立了一组满足用户功能需求的服务,用户调用的其中一个服务主要取决于服务质量(QoS),特别是安全性、信任和声誉。提出了一种基于服务质量的信任管理模型来支持服务的发现和选择。定义了一种用于动态服务发现和选择的定量信任评估方法。所提出的模型使服务消费者能够获得值得信赖的服务。我们的机制使用消费者的反馈来描述服务和服务提供者的信任程度。使用定量测量而不是消费者直觉的服务选择允许选择高度可靠的服务,很好地满足他们的质量要求。最后给出了实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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