Uniprocessor Feasibility of Sporadic Tasks Remains coNP-Complete under Bounded Utilization

Pontus Ekberg, W. Yi
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引用次数: 18

Abstract

A central problem in real-time scheduling theory is to decide whether a sporadic task system with constrained deadlines is feasible on a preemptive uniprocessor. It is known that this problem is strongly coNP-complete in the general case, but also that there exists a pseudo-polynomial time solution for instances with utilization bounded from above by any constant c, where 0 <; c <; 1. For a long time it has been unknown whether the bounded case also has a polynomial-time solution. We show that for any choice of the constant c, such that 0 <; c <; 1, the bounded feasibility problem is (weakly) coNP-complete, and thus that no polynomial-time solution exists for it, unless P = NP.
有限利用率下零星任务的单处理机可行性
实时调度理论中的一个核心问题是确定具有约束时限的偶发任务系统在抢占式单处理机上是否可行。我们知道,在一般情况下,这个问题是强conp完备的,但对于利用率由上起由任意常数c限定的实例,存在一个伪多项式时间解,其中0 <;c <;1. 长期以来,对于有界情况是否也有多项式时间解一直是未知的。我们证明了对于任意常数c,使得0 <;c <;1、有界可行性问题是(弱)conp完备的,因此除非P = NP,否则不存在多项式时间解。
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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