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Capacity planning for event-based systems using automated performance predictions

机译:使用自动性能预测的基于事件的系统的容量规划

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Event-based communication is used in different domains including telecommunications, transportation, and business information systems to build scalable distributed systems. The loose coupling of components in such systems makes it easy to vary the deployment. At the same time, the complexity to estimate the behavior and performance of the whole system is increased, which complicates capacity planning. In this paper, we present an automated performance prediction method supporting capacity planning for event-based systems. The performance prediction is based on an extended version of the Palladio Component Model - a performance meta-model for component-based systems. We apply this method on a real-world case study of a traffic monitoring system. In addition to the application of our performance prediction techniques for capacity planning, we evaluate the prediction results against measurements in the context of the case study. The results demonstrate the practicality and effectiveness of the proposed approach.
机译:基于事件的通信用于包括电信,运输和商业信息系统在内的不同领域,以构建可扩展的分布式系统。在这样的系统中,组件之间的松散耦合使更改部署变得容易。同时,估计整个系统的行为和性能的复杂性也增加了,这使容量规划变得复杂。在本文中,我们提出了一种自动性能预测方法,该方法可支持基于事件的系统的容量规划。性能预测基于Palladio组件模型的扩展版本-Palladio Component Model是用于基于组件的系统的性能元模型。我们将此方法应用于交通监控系统的实际案例研究中。除了将我们的性能预测技术应用于容量规划之外,我们还结合案例研究对评估结果进行评估。结果证明了该方法的实用性和有效性。

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