多处理器上节省工作的最优实时调度

Kenji Funaoka, S. Kato, N. Yamasaki
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引用次数: 72

摘要

本文提出的扩展的T-N平面抽象(E-TNPA)相对于原始的T-N平面抽象(TNPA)实现了多处理器上节省工作和高效的最优实时调度。在此基础上,提出了E-TNPA调度算法NVNLF(无虚拟节点松弛优先)。E-TNPA和NVNLF分别放宽了TNPA和传统算法LNREF的限制。任意任务可以根据各种系统需求和若干限制条件,通过打破规则和时间分配策略优先执行。仿真结果表明,与TNPA相比,E-TNPA显著减少了任务抢占的数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Work-Conserving Optimal Real-Time Scheduling on Multiprocessors
Extended T-N plane abstraction (E-TNPA) proposed in this paper realizes work-conserving and efficient optimal real-time scheduling on multiprocessors relative to the original T-N plane abstraction (TNPA). Additionally a scheduling algorithm named NVNLF (no virtual nodal laxity first) is presented for E-TNPA. E-TNPA and NVNLF relax the restrictions of TNPA and the traditional algorithm LNREF, respectively. Arbitrary tasks can be preferentially executed by both tie-breaking rules and time apportionment policies in accordance with various system requirements with several restrictions. Simulation results show that E-TNPA significantly reduces the number of task preemptions as compared to TNPA.
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