Multiprocessor scheduling of elastic tasks
Multiprocessor scheduling of elastic tasks
复制标题
弹性任务的多处理器调度
DOI：
10.1145/3356401.3356403
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Sanjoy Baruah
中科院分区：
文献类型：
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作者：
James Orr;Sanjoy Baruah
弹性任务模型使适应经常性的实时任务在不确定的或潜在的过载条件下。该模型最初是为在抢占式单处理器平台上执行的顺序任务定义的;后来扩展到包括在多个处理器上执行的内部并行任务。本文通过考虑顺序任务的多处理器调度（即，没有内部并行性的任务）。我们定义的算法调度顺序的弹性任务下的全局和分区的多处理器调度的范例，并提供了一个基于模拟的比较不同的方法。
The elastic task model enables the adaptation of recurrent real-time tasks under uncertain or potentially overloaded conditions. The model was originally defined for sequential tasks executing upon a preemptive uniprocessor platform; it was later extended to include tasks with internal parallelism executing on multiple processors. This paper bridges a gap in the theory of elastic task scheduling by considering the multiprocessor scheduling of sequential tasks (i.e., tasks with no internal parallelism). We define algorithms for scheduling sequential elastic tasks under the global and partitioned paradigms of multiprocessor scheduling, and provide a simulation-based comparison of the different approaches.
影响因子：
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作者：
James Orr, Chris Gill
通讯作者：
James Orr, Chris Gill