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

Zhishan Guo, Y. Zhang, Lingxiang Wang, Zhenkai Zhang
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引用次数: 7

Abstract

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.
正在进行的工作:多核实时系统的缓存感知分区EDF调度
随着系统核数和利用率的快速增长,缓存等共享资源对任务执行行为的干扰越来越大。为了在多核实时系统的时间和空间域中实现资源效率,在执行分区时应该考虑缓存。研究了抢占式多核平台上的分区最早截止时间优先调度问题。我们提出了一个涵盖任务间缓存干扰的新系统模型,并描述了在这种设置下识别适当分区方案的一些正在进行的工作。
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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