混合临界系统的虚拟时序隔离

Johannes Freitag, S. Uhrig, T. Ungerer
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引用次数: 12

摘要

商用多核处理器在核心之间存在时间干扰,这使得它们在航空电子等硬实时系统中的应用变得复杂。本文提出了一种将运行在一个核心上的主应用程序与所有其他核心进行虚拟时序隔离的方法。所提出的技术基于多核处理器外部的硬件,对主应用程序完全透明,即不需要修改包括操作系统在内的软件。基本思想是应用基于最坏情况执行时间分析的单核执行,并在多核执行期间接受预定义的减速。如果减速超过可接受的范围,将通过控制低临界核心的行为来减少干扰,以保持主应用程序的进度在给定的范围内。除了隔离关键应用程序的定时这一主要目标之外,还有一个子目标是有效地使用其他核心。为此,比较了控制非关键核心的三种不同机制对整个处理器的有效使用。通过跟踪应用程序的指纹来测量主应用程序的进度。该技术量化了与给定基线(单核执行)相比的在线执行速度。本文提出并评估了几种补偿不可接受的慢速的对策,并对指纹识别的精度进行了评估。我们使用TACLeBench基准测试套件进行的评估表明,我们可以满足给定的4%减速的可接受时间范围,在脉宽调制控制的情况下,实际减速仅为3.27%,在频率缩放控制的情况下,实际减速为4.44%。
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Virtual Timing Isolation for Mixed-Criticality Systems
Commercial of the shelf multicore processors suffer from timing interferences between cores which complicates applying them in hard real-time systems like avionic applications. This paper proposes a virtual timing isolation of one main application running on one core from all other cores. The proposed technique is based on hardware external to the multicore processor and completely transparent to the main application i.e., no modifications of the software including the operating system are necessary. The basic idea is to apply a single-core execution based Worst Case Execution Time analysis and to accept a predefined slowdown during multicore execution. If the slowdown exceeds the acceptable bounds, interferences will be reduced by controlling the behavior of low-critical cores to keep the main application's progress inside the given bounds. Apart from the main goal of isolating the timing of the critical application a subgoal is also to efficiently use the other cores. For that purpose, three different mechanisms for controlling the non-critical cores are compared regarding efficient usage of the complete processor. Measuring the progress of the main application is performed by tracking the application's Fingerprint. This technology quantifies online any slowdown of execution compared to a given baseline (single-core execution). Several countermeasures to compensate unacceptable slowdowns are proposed and evaluated in this paper, together with an accuracy evaluation of the Fingerprinting. Our evaluations using the TACLeBench benchmark suite show that we can meet a given acceptable timing bound of 4 percent slowdown with a resulting real slowdown of only 3.27 percent in case of a pulse width modulated control and of 4.44 percent in the case of a frequency scaling control.
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