The utilization bound of static-priority preemptive partitioned multiprocessor scheduling is 50%

Björn Andersson
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Abstract

This paper studies static-priority preemptive scheduling on a multiprocessor using partitioned scheduling. We propose a new scheduling algorithm and prove that if the proposed algorithm is used and if less than 50% of the capacity is requested then all deadlines are met. It is known that for every static-priority multiprocessor scheduling algorithm, there is a task set that misses a deadline although the requested capacity is arbitrary close to 50%.
静态优先级抢占式分区多处理器调度的利用率上限为50%
本文研究了基于分区调度的多处理机静态优先级抢占调度。我们提出了一种新的调度算法,并证明了如果使用该算法,并且请求的容量小于50%,则满足所有截止日期。众所周知,对于每个静态优先级多处理器调度算法,都有一个任务集错过了截止日期,尽管请求的容量接近50%。
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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