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CPMD-mindful task assignment for NPS-F

机译:专注于CPMD的NPS-F任务分配

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摘要

The multiprocessor scheduling scheme NPS-F for sporadic tasks has a high utilisation bound and an overall number of preemptions bounded at design time. NPS-F binpacks tasks offline to as many servers as needed. At runtime, the scheduler ensures that each server is mapped to at most one of the m processors, at any instant. When scheduled, servers use EDF to select which of their tasks to run. Yet, unlike the overall number of preemptions, the migrations per se are not tightly bounded. Moreover, we cannot know a priori which task a server will be currently executing at the instant when it migrates. This uncertainty complicates the estimation of cache-related preemption and migration costs (CPMD), potentially resulting in their overestimation. Therefore, to simplify the CPMD estimation, we propose an amended bin-packing scheme for NPS-F allowing us (i) to identify at design time, which task migrates at which instant and (ii) bound a priori the number of migrating tasks, while preserving the utilisation bound of NPS-F.
机译:用于零星任务的多处理器调度方案NPS-F具有较高的利用率范围,在设计时有一定数量的抢占。 NPS-F将任务脱机打包到所需的尽可能多的服务器。在运行时,调度程序确保每个服务器在任何时刻都最多映射到m个处理器中的一个。计划后,服务器使用EDF选择要运行的任务。但是,与抢占总数不同,迁移本身并没有严格限制。而且,我们无法事先知道服务器在迁移时将当前执行的任务。这种不确定性使与缓存有关的抢占和迁移成本(CPMD)的估算变得复杂,可能导致其高估。因此,为简化CPMD估算,我们为NPS-F提出了一种改进的装箱方案,该方案允许我们(i)在设计时识别哪个任务在哪个时刻迁移,以及(ii)先验地限制迁移任务的数量,同时保留NPS-F的使用范围。

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