Heterogeneous multi-core processors (HMP) with the same instruction set architecture (ISA) integrate complex high performance big cores with power efficient small cores on the same chip. In comparison with homogeneous architectures, HMPs have been shown to significantly increase energy efficiency. However, current techniques to exploit the energy efficiency of HMPs do not consider fair usage of resources that leads to reduced performance predictability, a longer makespan, starvation, and QoS degradation. The effect of different cluster voltage and frequency levels on fairness is another issue neglected by previous task scheduling algorithms. The present study investigates both the fairness problem and energy efficiency in HMPs. This article proposes a heterogeneous fairness-aware energy efficient framework (HFEE) that employs DVFS to meet fairness constraints and provide energy efficient scheduling. The proposed framework is implemented and evaluated on a real heterogeneous multi-core processor. The experimental results indicate that the introduced technique can significantly improve energy efficiency and fairness when compared to Linux standard scheduler and two energy efficient and fairness-aware schedulers.

中文翻译：

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异构多核处理器上的公平感知能效调度

具有相同指令集架构 (ISA) 的异构多核处理器 (HMP) 在同一芯片上集成了复杂的高性能大核和节能小核。与同类架构相比，HMP 已被证明可以显着提高能源效率。然而，目前利用 HMP 的能源效率的技术没有考虑资源的公平使用，这会导致性能可预测性降低、完工时间延长、饥饿和 QoS 降级。不同集群电压和频率水平对公平性的影响是先前任务调度算法忽略的另一个问题。本研究调查了 HMP 的公平性问题和能源效率。本文提出了一种异构公平感知节能框架 (HFEE)，该框架采用 DVFS 来满足公平约束并提供节能调度。所提出的框架是在真正的异构多核处理器上实现和评估的。实验结果表明，与 Linux 标准调度程序和两个节能和公平感知调度程序相比，所引入的技术可以显着提高能源效率和公平性。