基于rtsj的实时应用的确定性、内存消耗和吞吐量平衡

Xiaowei Zhang, Donggang Cao, Hong Mei, Fuqing Yang
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引用次数: 1

摘要

确定性、内存消耗和吞吐量是基于rtsj的实时应用程序的三个重要性能指标,但它们经常相互作用和冲突。手动平衡这些性能指标通常非常耗时。因此,有必要澄清性能指标之间的关系,并自动进行权衡。本文抽象了与这些性能指标相关的实时线程属性,并分析了它们之间的关系。在此基础上,提出了一种平衡性能指标的自动配置框架。在此框架中,开发了一个随机过程来表示实时线程的确定性。并以这些线程属性为参数量化实时应用程序的吞吐量和内存消耗。基于糖厂应用的实验结果表明,该方法在保证确定性的同时,可以有效地优化内存消耗和吞吐量。
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Towards Balancing Determinism, Memory Consumption and Throughput for RTSJ-Based Real-Time Applications
Determinism, memory consumption and throughput are three important performance indicators for RTSJ-based real-time applications, but they often interact and conflict with each other. Manually balancing these performance indicators is often time-consuming. Therefore, there is the need to clarify the relationship among the performance metrics and make trade-off automatically. In this paper, we abstract real-time thread properties relating to these performance indicators and analyze their relationship. Based on the analysis, an automatic configuration framework to balance the performance metrics is proposed. In this framework, a stochastic process is developed to represent real-time threads' determinism. And real-time application's throughput and memory consumption is quantified with these thread properties as parameters. Experiment results based on Sweet Factory application show that our approach could optimize memory consumption and throughput while guaranteeing determinism effectively.
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