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引用次数: 1
摘要
有限抢占调度模型的好处是在支持实时任务之间的协作调度的同时,最大限度地减少了抢占开销。采用PPP (Preemption point placement)算法选择合适的抢占位置子集进行有限的抢占调度,优化任务最坏情况下的执行时间。类似地,抢占阈值调度通过调整抢占阈值以允许任务在可能的情况下完全非抢占地执行,从而利用任务集中的执行时间空闲,从而增强了完全抢占环境中的可调度性。非抢占执行的能力减少了与缓存相关的抢占延迟(CRPD),进一步增强了有限的抢占可调度性。在这项工作中,我们将使用抢占放置的有限抢占调度与抢占阈值调度相结合,以实现进一步的任务集可调度性优势。使用综合生成任务集的案例研究将展示我们提出的集成PPP和最优阈值分配(OTA)算法的可调度性优势的显着改善(故障利用率提高30%)。
Integrating Preemption Thresholds with Limited Preemption Scheduling
The benefits of the limited preemption scheduling model serve to minimize preemption overhead while enabling cooperative scheduling between real-time tasks. Preemption point placement (PPP) algorithms are employed to select a suitable subset of preemption locations for limited preemption scheduling that optimize task worst case execution time. Similarly, preemption threshold scheduling enhances schedulability in a fully-preemptive environment by taking advantage of execution time slack in a task set by adjusting preemption thresholds to permit tasks to completely execute non-preemptively where possible. The ability to execute non-preemptively offers reduced cache related preemption delay (CRPD) further enhancing limited preemption schedulability. In this work, we integrate limited preemption scheduling using preemption placement with preemption threshold scheduling to realize further task set schedulability benefits. A case study using synthetically generated tasksets will demonstrate the significantly improved (up to a 30% increase in breakdown utilization) schedulability benefits of our proposed integrated PPP and optimal threshold assignment (OTA) algorithm.