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Work-in-Progress: Cache-Aware Partitioned EDF Scheduling for Multi-core Real-Time Systems

机译:正在进行的工作:用于多核实时系统的缓存感知分区EDF调度

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As the number of cores and utilization of the system are increasing quickly, shared resources like caches are interfering tasks' execution behaviors more heavily. In order to achieve resource efficiency in both temporal and spatial domains for multi-core real-time systems, caches should be taken into consideration when performing partitions. In this paper, partitioned Earliest Deadline First (EDF) scheduling on a preemptive multi-core platform is considered. We propose a new system model that covers inter-task cache interference and describe some ongoing work in identifying proper partition schemes under such settings.
机译:随着内核数量的增加和系统利用率的迅速提高,诸如缓存之类的共享资源正在更加严重地干扰任务的执行行为。为了在多核实时系统的时域和空间域中均达到资源效率,执行分区时应考虑缓存。本文考虑了抢先式多核平台上的分区最早截止时间优先(EDF)调度。我们提出了一个新的系统模型,该模型涵盖了任务间缓存干扰,并描述了在这种设置下识别适当的分区方案的一些正在进行的工作。

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