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A Learning Automation Solution to the QoS-Aware Service Composition

机译:QoS感知服务组合的学习自动化解决方案

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The QoS properties of the provided services based on SOA play a significant role in service composition. However in the domain of multimedia service, making the provision of services QoS-aware is still a challenging work. In this paper we present a generic QoS model of service composition, as well as an algorithm to the QoS-aware service problem. The proposed algorithm is designed and implemented based on the concepts of learning automation. It has been rigorously tested and evaluated through extensive simulations. Our results show that the learning automation based approach is scalable and can effectively achieve service composition for QoS requirement satisfaction.
机译:基于SOA的提供服务的QoS属性在服务组合中发挥着重要作用。但是在多媒体服务领域,提供服务QoS感知仍然是一个具有挑战性的工作。在本文中,我们呈现了一个通用的服务组合QoS模型,以及QoS感知服务问题的算法。基于学习自动化的概念,设计和实现了所提出的算法。它经过广泛的模拟经过严格测试和评估。我们的研究结果表明,基于学习自动化的方法是可扩展的,可以有效地实现QoS要求满足的服务组合。

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