Addressing cache related preemption delay in fixed priority assignment

H. Tran, Frank Singhoff, S. Rubini, Jalil Boukhobza
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引用次数: 7

Abstract

Handling cache related preemption delay (CRPD) in preemptive scheduling context for real-time embedded systems still stays an open issue despite of its practical importance. Indeed, classical priority assignment algorithms are only optimal when preemption costs are neglected. For example, with Audsley's Optimal Priority Assignment (OPA), as the original algorithm does not take CRPD into account, it fails frequently in identifying the schedulable task sets as it happens that the algorithm qualifies a task set to be schedulable, while it is practically not because of CRPD. In this article, we propose an approach to adapt fixed priority assignment algorithms to real-time embedded systems with cache memory. For such a purpose, we propose three extensions of the original OPA algorithm that have different degrees of pessimism, different complexities, and give different results in terms of schedulable task sets coverage. Exhaustive experimentations were achieved to evaluate the proposed approaches in terms of complexity and efficiency. The result shows that our approach provides a mean to guarantee the schedulability of the real-time embedded system while taking into account CRPD.
在固定优先级分配中寻址与缓存相关的抢占延迟
在实时嵌入式系统的抢占调度环境下处理缓存相关的抢占延迟(CRPD),尽管具有重要的实际意义,但仍然是一个有待解决的问题。实际上,经典的优先级分配算法只有在忽略抢占成本的情况下才是最优的。例如,在Audsley的最优优先级分配(OPA)中,由于原始算法没有考虑CRPD,它在识别可调度任务集时经常失败,因为它恰好使一个任务集具有可调度性,而实际上由于CRPD而不是。在本文中,我们提出了一种将固定优先级分配算法应用于具有高速缓存的实时嵌入式系统的方法。为此,我们提出了原OPA算法的三种扩展,它们具有不同的悲观程度,不同的复杂性,并且在可调度任务集覆盖方面给出了不同的结果。通过详尽的实验来评估所提出的方法的复杂性和效率。结果表明,该方法在考虑CRPD的情况下,提供了一种保证实时嵌入式系统可调度性的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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