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Adaptive Power Mode Tuning for QoS Guarantee in Cyber-Physical Systems

机译:网络物理系统中QoS保证的自适应电力模式调整

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The Quality of Service (QoS) of Cyber-physical systems (CPS) is inevitably undermined by various physical uncertainties which include the stochastic environment noise and dynamics of the physical phenomenon. Both of those uncertainties might lead to task overload and the power overconsumption as task execution times are unpredictable. While recent feedback control scheduling have shown promise to meet the real-time requirement by adaptively adjusting the task loading rate, little work has focused on both the system service rate and the CPU execution modes as a whole to optimize the system QoS. This paper presents a feedback control based scheme that adaptively maintains desired task service rate for real-time requirement while minimizes the power consumption by assigning proper execution modes on processor for each node. The theoretic analysis, numerous simulations and experimentations demonstrate that the proposed scheme can provide robust real-time guarantees and reduce the power consumption when the task workload vary significantly at run-time.
机译:网络物理系统(CPS)的服务质量(QoS)不可避免地被各种物理不确定性破坏,包括随机环境噪声和物理现象的动态。这些不确定性都可能导致任务过载,并且电源过度广告为任务执行时间是不可预测的。虽然最近的反馈控制调度已经显示了承诺通过自适应调整任务加载速率来满足实时要求,但很少的工作都集中在系统服务速率和CPU执行模式的整体上,以优化系统QoS。本文介绍了一种基于反馈控制的方案,其自适应地维持所需的任务服务速率进行实时要求,同时通过为每个节点的处理器分配适当的执行模式来最小化功耗。理论分析,许多模拟和实验表明,该方案可以提供强大的实时保证,并在运行时显着变化时降低功耗。

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