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A probabilistic model for performance analysis of cloud infrastructures

机译:云基础架构性能分析的概率模型

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Analyzing the quantitative performance plays an important role in understanding and improving the qualityrnof cloud computing systems and cloud-based applications. In cloud computing, service requests from usersrngo through numerous provider-specific steps from the instant it is submitted to when the requested servicernis fully delivered. Quantitative performance analysis is not an easy task because of the complexity of cloudrnprovisioning control flows and the increasing scale and complexity of real-world cloud infrastructures. Thisrnwork proposes a probabilistic queuing network-based model for the performance analysis of cloud infrastructures.rnIt considers expected task completion time and rejection probability as the performance metrics.rnExperimental performance data suggest the correctness of the proposed model.
机译:分析定量性能在理解和改进质量方面的云计算系统和基于云的应用程序中起着重要作用。在云计算中,从提交请求的那一刻到请求的服务完全交付为止,用户通过许多特定于提供商的步骤从服务请求中获取服务。由于云配置控制流的复杂性以及现实世界中云基础架构的规模和复杂性不断增加,因此,进行定量性能分析并非易事。本文提出了一种基于概率排队网络的云基础架构性能分析模型。将预期任务完成时间和拒绝概率作为性能指标。实验性能数据表明了该模型的正确性。

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