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Mixed-Criticality Multicore Scheduling of Real-Time Gang Task Systems

机译:实时帮派任务系统的混合关键性多核调度

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Mixed-criticality (MC) scheduling of sequential tasks (with no intra-task parallelism) has been well-explored by the real-time systems community. However, till date, there has been little progress on MC scheduling of parallel tasks. MC scheduling of parallel tasks is highly challenging due to the requirement of various assurances under different criticality levels. In this work, we address the MC scheduling of parallel tasks of gang model that allows workloads to execute on multiple cores simultaneously. Such a workload model represents an efficient mode-based parallel processing scheme with many potential applications. To schedule such task sets, we propose a new technique GEDF-VD, which integrates Global Earliest Deadline First (GEDF) and Earliest Deadline First with Virtual Deadline (EDF-VD). We prove the correctness of GEDF-VD and provide a detailed quantitative evaluation in terms of speedup bound in both the MC and the non-MC cases. Specifically, we show that GEDF provides a speedup bound of 2 for non-MC gang tasks, while the speedup for GEDF-VD considering MC gang tasks is √5 + 1. Experiments on randomly generated gang task sets are conducted to validate our theoretical findings and to demonstrate the effectiveness of the proposed approach.
机译:混合关键性(MC)顺序任务(没有内部任务并行)的调度已经被实时系统社区探索。但是,到目前为止,并行任务的MC调度几乎没有进展。平行任务的MC调度由于不同临界水平下的各种保证的要求,这是强大的具有挑战性。在这项工作中,我们解决了GAG模型的并行任务的MC调度,允许同时在多个核上执行工作负载。这种工作负载模型表示具有许多潜在应用的基于模式的并行处理方案。要安排此类任务集,我们提出了一种新技术GEDF-VD,它首先与虚拟截止日期(EDF-VD)集成全球最早的截止日期和最早的截止日期。我们证明了GEDF-VD的正确性,并在MC和非MC案件中的加速方面提供了详细的定量评估。具体而言,我们表明GEDF为非MC GANG任务提供了2的加速,而考虑MC Gang任务的GEDF-VD的加速是√5+ 1.随机生成的帮派任务集进行实验以验证我们的理论发现并展示所提出的方法的有效性。

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