Abstract：Bottlenecks in component services need to be identified to ensure the performance of cloud service system-oriented service business processes. Traditional approaches for evaluating component service bottlenecks often evaluate the maximum run time delay in the component services to determine the cause of the quality-of-service deterioration. However, these approaches do not consider the importance of the component services, which influences the evaluation accuracy. A cloud service bottleneck diagnostic method is given here based on the quality of service on the various components in the analysis for comprehensive assessments of the quality of service and the component importance to identify cloud service bottlenecks in component services. Simulations show the effectiveness and accuracy of this bottleneck diagnosis method.
郭军, 马安香, 闫永明, 孟煜, 张斌. 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[J]. 清华大学学报（自然科学版）, 2017, 57(2): 208-212.
GUO Jun, MA Anxiang, YAN Yongming, MENG Yu, ZHANG Bin. Cloud service performance bottleneck diagnosis based on the component service quality and performance. Journal of Tsinghua University(Science and Technology), 2017, 57(2): 208-212.
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2017, Vol. 57 
