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Slack-based multiprocessor scheduling of aperiodic real-time tasks

机译:基于Slack的非周期性实时任务的多处理器调度

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We provide a constant time schedulability test and priority assignment algorithm for an on-line multiprocessor server handling aperiodic tasks. The so called Dhall's effect is avoided by dividing tasks in two priority classes based on their utilization: heavy and light. The improvement in this paper is due to assigning priority of light tasks based on slack-not on deadlines. We prove that if the load on the multiprocessor stays below (3 - 5~(1/2))/2≈ 38.197%, the server can accept an incoming aperiodic task and guarantee that the deadlines of all accepted tasks will be met. This is better than the current state-of-the-art algorithm where the priorities of light tasks are based on deadlines (the corresponding bound is in that case 35.425%). The bound (3 - 5~(1/2))/2 can be improved if the number of processors m is known. There is a formula for the sharp bound U_(threshold)(m) =3m-2-5m~2-8m+4~(1/2/2(m-1)), which converges to (3 - 5~(1/2))/2 from above as m →∞. For m ≥ 3, the bound is higher (i.e., better) than the corresponding sharp bound for the state-of-the-art algorithm where the priorities of light tasks are based on deadlines. A simulation study also indicates that when m > 3 the best effort behavior of the priority assignment scheme suggested here is better than that of the traditional scheme where priorities are based on deadlines.
机译:我们为处理非周期性任务的在线多处理器服务器提供了恒定的时间可调度性测试和优先级分配算法。通过根据任务的使用情况将任务划分为两个优先级类别,可以避免所谓的Dhall效应:重型和轻型。本文的改进是由于根据闲暇而不是按时分配轻型任务的优先级。我们证明,如果多处理器上的负载保持在(3-5〜(1/2))/2≈38.197%以下,则服务器可以接受传入的非定期任务,并保证将满足所有接受的任务的期限。这比当前的最新算法要好,在后者中,轻型任务的优先级基于截止日期(在这种情况下,相应的界限为35.425%)。如果处理器的数量m是已知的,则边界(3-5-(1/2))/ 2可以得到改善。锐界U_(阈值)(m)= 3m-2-5m〜2-8m + 4〜(1/2/2(m-1))有一个公式可以收敛到(3-5〜( 1/2))/ 2从上方看为m→∞。对于m≥3,该界限比最新算法的相应锐利界限更高(即更好),在后者中,轻型任务的优先级基于截止日期。仿真研究还表明,当m> 3时,此处建议的优先级分配方案的最佳努力行为要好于优先级基于截止日期的传统方案。

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