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Deriving hierarchically combined queueing Petri nets for performance prediction of distributed component system

机译:推导分层组合排队Petri网用于分布式组件系统的性能预测

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摘要

In this paper we propose the performance analysis and improvement methodology based on Hierarchically Combined Queueing Petri Nets (HQPNs). To accomplish the goal, in this paper, we firstly propose architecture design and performance profiling methodology by using UML. Secondly, we propose transformation algorithm from the UML based software architecture into HQPNs model. Lastly we offers performance analysis tool to identify potential bottleneck and critical component from the derived HQPNs model. We validate the accuracy of performance prediction by applying real system development scenario. We compare the predicted performance results with the performance data of the real system. This approach reduces the time and the cost caused by developing the HQPNs model at the software architecture design phase.
机译:在本文中,我们提出了基于层次组合排队Petri网(HQPN)的性能分析和改进方法。为了实现这一目标,本文首先提出了使用UML进行体系结构设计和性能分析的方法。其次,提出了从基于UML的软件架构到HQPNs模型的转换算法。最后,我们提供性能分析工具,以从派生的HQPNs模型中识别潜在的瓶颈和关键组件。我们通过应用实际的系统开发方案来验证性能预测的准确性。我们将预测的性能结果与实际系统的性能数据进行比较。这种方法减少了在软件体系结构设计阶段开发HQPNs模型所花费的时间和成本。

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