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Multi-core application performance optimization using a constrained tandem queueing model

机译:使用约束串联队列模型的多核应用程序性能优化

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摘要

Recently, performance optimization on multi-core platforms has received more and more research interest especially for networking applications. While a number of case studies have been made with success, there is however a lack of analytical treatment on the modeling of parallel processing in applications. In this paper, we tackle the performance optimization problem using queueing analysis. Modeling macroscopic pipeline processes with a constrained tandem model, an optimization principle is derived. We then employ the derived principle to analyze two network applications: intrusion detection and image retrieval. Both theoretical performance analysis and simulation results confirm the effectiveness of our optimization principle.
机译:最近,多核平台上的性能优化已收到越来越多的研究兴趣,尤其是对于网络应用程序。尽管已经成功进行了许多案例研究,但是在应用程序的并行处理建模方面缺乏分析处理。在本文中,我们使用排队分析解决性能优化问题。使用约束串联模型对宏观管道过程进行建模,得出优化原理。然后,我们使用派生的原理来分析两个网络应用程序:入侵检测和图像检索。理论性能分析和仿真结果均证实了我们优化原理的有效性。

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