首页> 外文会议>IEEE/ACM International Conference on Automated Software Engineering >Capacity planning for event-based systems using automated performance predictions
【24h】

Capacity planning for event-based systems using automated performance predictions

机译:使用自动绩效预测的基于事件系统的容量规划

获取原文

摘要

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的不同域,以构建可扩展的分布式系统。这些系统中的部件的松散耦合使得部署变化很容易。与此同时,估计整个系统的行为和性能的复杂性增加,该容量规划使能力规划复杂化。在本文中,我们提出了一种支持基于事件系统的容量规划的自动性能预测方法。性能预测基于Palladio组件模型的扩展版本 - 基于组件的系统的性能元模型。我们在对交通监测系统的真实案例研究中应用此方法。除了应用我们的能量规划的性能预测技术外,我们还评估了在案例研究的背景下对测量的预测结果。结果表明了所提出的方法的实用性和有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号