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Combinatorial abstraction refinement for feasibility analysis of static priorities

机译:组合抽象优化,用于静态优先级的可行性分析

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摘要

Combinatorial explosion is a challenge for many analysis problems in the theory of hard real-time systems. One of these problems is static priority schedulability of workload models which are more expressive than the traditional periodic task model. Different classes of directed graphs have been proposed in recent years to model structures like frames, branching and loops. In contrast to dynamic priority schedulers with pseudo-polynomial time analysis methods, static priority schedulability has been shown to be intractable since it is strongly coNP-hard already for the relatively simple class of cyclic digraphs. The core of this problem is the necessity to combine different behaviors of the participating tasks.
机译:组合爆炸是硬实时系统理论中许多分析问题的挑战。这些问题之一是工作负载模型的静态优先级可调度性,它比传统的周期性任务模型更具表现力。近年来,已经提出了不同类的有向图来对诸如框架,分支和循环之类的结构进行建模。与具有伪多项式时间分析方法的动态优先级调度程序相比,静态优先级可调度性已被证明是难处理的,因为对于相对简单的一类循环有向图而言,它已经非常强大。这个问题的核心是必须结合参与任务的不同行为。

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