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An adaptive scheduling and voltage/frequency selection algorithm for real-time energy harvesting systems

机译:实时能量采集系统的自适应调度和电压/频率选择算法

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In this paper we propose an adaptive scheduling and voltage/frequency selection algorithm which targets at energy harvesting systems. The proposed algorithm adjusts the processor operating frequency under the timing and energy constraints based on workload information so that the system-wide energy efficiency is achieved. In this approach, we decouple the timing and energy constraints and simplify the original scheduling problem by separating constraints in timing and energy domains. The proposed algorithm utilizes maximum task slack for energy saving. Experimental results show that the proposed method improves the system performance in remaining energy, deadline miss rate and the minimum storage capacity requirement for zero deadline miss rate. Comparing to the existing algorithms, the new algorithm decreases the deadline miss rate by at least 23%, and the minimum storage capacity by at least 20% under various processor utilizations.
机译:在本文中,我们提出了针对能量收集系统的自适应调度和电压/频率选择算法。该算法根据工作量信息在时序和能量约束下调整处理器的工作频率,从而实现了全系统的能效。在这种方法中,我们将时序和能量约束解耦,并通过在时序和能量域中分离约束来简化原始调度问题。所提出的算法利用最大的任务松弛来节能。实验结果表明,该方法提高了系统在剩余能量,截止期限丢失率和零截止期限丢失率最小存储容量方面的性能。与现有算法相比,新算法在各种处理器利用率下将截止日期未命中率降低了至少23%,并将最小存储容量降低了至少20%。

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