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Low Power Task Scheduling for Multiple I/O Devices in Multiple CPU Environment

机译:多个CPU环境中多I / O设备的低功耗任务调度

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In this paper an energy efficient task scheduling algorithm for I/O devices is presented. The proposed approach considers multiple I/O devices with multiple processors that are either homogeneous or heterogeneous. For gaining the reduced energy consumption on I/O devices, a clustering technique that maximizes the I/O device idle time is used. The experimental results show that the approach reduces the energy consumption of I/O devices in all the testing cases, as well as saving the processor power.
机译:本文提出了一种用于I / O设备的节能任务调度算法。所提出的方法考虑具有多个处理器的多个I / O设备,其是均匀或异构的。为了获得I / O设备上的减小的能耗,使用最大化I / O设备空闲时间的聚类技术。实验结果表明,该方法在所有测试用例中降低了I / O设备的能耗,以及节省处理器电源。

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