Reliability-aware schedule of periodic tasks in energy-constrained real-time systems
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摘要:
针对动态电压调节（Dynamic Voltage Scaling,DVS）技术在实时系统能耗管理中导致系统可靠性下降的问题,提出了基于人工蜂群算法（Artificial Bee Colony Algorithm,ABC）的静态/动态可靠性感知调度算法.该算法针对处理器频率离散可调的实时系统,利用人工蜂群算法原理在满足系统能耗约束和任务时限约束的同时尽可能地提高系统的可靠性.仿真结果表明,动态可靠性感知调度算法相比静态算法性能更优,接近负载预知的最优可靠性感知调度算法性能.
Abstract:
The Dynamic Voltage Scaling(DVS)technology which is widely used in numerous energy management schedule has negative effect on system reliability. Based on the artificial bee colony algorithm (ABC), two noble reliability-aware schedule algorithms are proposed for DVS systems with discrete frequencies, which will meet the energy constraint and deadline naturally while maximize the reliability of the system. The simulation results indicate that the dynamic schedule algorithm outperforms the static schedule algorithm, and its performance is close to that of the optimal scheduler that knows the exact workload in advance.
