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Online and offline scheduling with cache-related preemption delays

机译:具有与缓存相关的抢占延迟的在线和离线调度

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In this paper, we consider the problem of scheduling hard real-time tasks subjected to preemption delays on a uniprocessor system. While most of the existing work focus on either reducing these additional delays or improving the system predictability by bounding them, we focus in this work on the problem of taking scheduling decisions while considering preemption delays. We first study the behavior of existing online scheduling policies such as rm and edf when accounting for preemption delays. Then we prove that there exists no optimal online algorithm for the problem of scheduling sporadic tasks with preemption delays. Eventually, we propose an optimal offline solution to the problem of scheduling tasks subjected to preemption delays using mathematical programming.
机译:在本文中,我们考虑了在单处理器系统上调度具有抢占延迟的硬实时任务的问题。尽管大多数现有工作都集中于减少这些额外的延迟或通过限制它们来提高系统的可预测性,但我们的工作重点是在考虑抢占延迟的同时做出调度决策的问题。在考虑抢占延迟时,我们首先研究了现有的在线调度策略(例如rm和edf)的行为。然后我们证明,对于具有抢占延迟的零星任务调度,没有最优的在线算法。最终,我们提出了一种针对离线任务的最优离线解决方案,该任务使用数学编程来解决遭受抢占延迟的任务。

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