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A QoS-aware Web service Composition Approach Based on Cloud Model

机译:基于云模型的QoS感知Web服务组合方法

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An appropriate selection is of great importance to Web service composition. Current approaches normally focus on the average performance of quality of service (QoS) of Web services while not paying more attention to the performance such as stability considering the changing environments. In addition, Web services are differentiated from others with same functions which are provided by various physical origins of service requesters and service providers, which will lead to unexpected QoS of Web service system. To solve the two issues, this paper presents a QoS-aware strategy for Web service composition based on cloud model, and correspondingly designs a multi-objective Web service composition algorithm based on quantum genetic algorithm. The simulation based on a typical dataset validates the proposed approach finally.
机译:适当的选择对于Web服务构成非常重要。目前的方法通常关注Web服务的服务质量(QoS)的平均性能,同时不会更加关注考虑更改环境的稳定性的性能。此外,Web服务与具有相同功能的函数的不同功能,这些功能由服务请求者和服务提供商的各种物理起源提供,这将导致Web服务系统的意外QoS。为解决这两个问题,本文提出了一种基于云模型的Web服务组成的QoS感知策略,并且相应地设计了一种基于量子遗传算法的多目标Web服务组合算法。基于典型数据集的仿真最终验证了所提出的方法。

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