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瓶颈组件服务的诊断是保障面向服务业务流程的云服务系统性能的关键环节。传统诊断方法是通过评估组件服务的最大运行时延来确定导致整个组合服务质量变差的组件服务,未考虑组件服务的重要性,影响判断的准确性。该文在分析了各个组件服务质量的基础上,综合评估组件服务质量和重要性,提出了一种基于组件服务质量和服务性能的云服务性能瓶颈诊断方法,用来确定云服务瓶颈组件服务。仿真实验的结果验证了该瓶颈诊断方法的有效性和准确性。
The diagnosis of bottleneck component services is a key part of ensuring the performance of cloud service systems for service-oriented business processes. The traditional diagnosis method is to determine the component service that leads to the deterioration of the quality of the entire composite service by evaluating the maximum runtime delay of the component service, without considering the importance of the component service and affecting the accuracy of the judgment. Based on the analysis of the service quality of each component, this paper synthetically evaluated the service quality and importance of the component, and proposed a performance-based cloud service performance bottleneck diagnosis method based on the component service quality and service performance, which was used to determine the cloud service bottleneck component service. The simulation results verify the effectiveness and accuracy of the bottleneck diagnostic method.