首页> 外文会议>2015 18th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops >Optimised Adaptation of Mixed-Criticality Systems with Periodic Tasks on Uniform Multiprocessors in Case of Faults
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Optimised Adaptation of Mixed-Criticality Systems with Periodic Tasks on Uniform Multiprocessors in Case of Faults

机译:出现故障时在统一多处理器上具有周期性任务的混合临界系统的优化适应

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The standard real-time computing model is based on a notion of deadline that represents both, a design parameter and a critical latency. The tolerance-based real-time computing model (TRTCM) extends the standard real-time computing model to reflect good engineering practice, where a safety margin is added to the critical latency to obtain the corresponding design parameter. The key feature of TRTCM is to add a tolerance range, which in combination with criticality specifications for services allows for fault-tolerant mixed-criticality scheduling with smooth degradation of service utility in case of resource shortage. In this paper we study the applicability of TRTCM for periodic tasks with mixed criticality on uniform multiprocessor systems. To optimise the system adaptation in case of resource shortage we formulate utility maximisation based on TRTCM as an optimisation problem. We describe two implementation strategies and derive an optimisation problem to be solved by a constraint solver for each. We use a video processing application for a concrete evaluation. Our results show that TRTCM can provide better utility than standard mixed-criticality approaches where lower criticality services are skipped in case of resource shortage.
机译:标准的实时计算模型基于期限的概念,该期限表示设计参数和关键延迟。基于容差的实时计算模型(TRTCM)扩展了标准实时计算模型,以反映良好的工程实践,其中将安全裕度添加到关键延迟中以获得相应的设计参数。 TRTCM的关键特征是增加了一个容忍范围,该容忍范围与服务的关键性规范相结合,可以在资源短缺的情况下实现容错的混合关键性调度,同时使服务实用程序的性能下降。在本文中,我们研究了TRTCM在具有统一临界的统一多处理器系统上对周期性任务的适用性。为了在资源短缺的情况下优化系统适应性,我们将基于TRTCM的效用最大化制定为优化问题。我们描述了两种实现策略,并针对每种策略导出了一个约束求解器要解决的优化问题。我们使用视频处理应用程序进行具体评估。我们的结果表明,TRTCM可以提供比标准的混合关键性方法更好的效用,在资源短缺的情况下,标准的关键性混合方法可以跳过较低的关键性服务。

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