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A green energy-efficient scheduling algorithm using the DVFS technique for cloud datacenters

机译:使用DVFS技术的云数据中心绿色节能调度算法

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Information and communication technology (ICT) has a profound impact on environment because of its large amount of CO_2 emissions. In the past years, the research field of "green" and low power consumption networking infrastructures is of great importance for both serviceetwork providers and equipment manufacturers. An emerging technology called Cloud computing can increase the utilization and efficiency of hardware equipment. The job scheduler is needed by a cloud datacenter to arrange resources for executing jobs. In this paper, we propose a scheduling algorithm for the cloud datacenter with a dynamic voltage frequency scaling technique. Our scheduling algorithm can efficiently increase resource utilization; hence, it can decrease the energy consumption for executing jobs. Experimental results show that our scheme can reduce more energy consumption than other schemes do. The performance of executing jobs is not sacrificed in our scheme. We provide a green energy-efficient scheduling algorithm using the DVFS technique for Cloud computing datacenters.
机译:信息和通信技术(ICT)由于其大量的CO_2排放而对环境产生了深远的影响。在过去的几年中,“绿色”和低功耗网络基础设施的研究领域对于服务/网络提供商和设备制造商都非常重要。称为云计算的新兴技术可以提高硬件设备的利用率和效率。云数据中心需要作业调度程序来安排用于执行作业的资源。在本文中,我们提出了一种使用动态电压频率缩放技术的云数据中心调度算法。我们的调度算法可以有效地提高资源利用率;因此,它可以减少执行作业的能耗。实验结果表明,与其他方案相比,该方案可以减少更多的能耗。在我们的方案中,不牺牲执行工作的性能。我们使用DVFS技术为云计算数据中心提供了一种绿色节能调度算法。

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