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An energy-efficient power management for heterogeneous servers in data centers
Computing ( IF 3.7 ) Pub Date : 2020-04-06 , DOI: 10.1007/s00607-020-00805-w
Qiang Wang , Haoran Cai , Qiang Cao , Fang Wang

Power management for heterogeneous servers has been playing a key role in improving energy efficiency in data centers. Running latency-critical web services on such scenario is still challenging due to the overheads of task transition between such servers. In this paper, we present a runtime power management system, Montgolfier, which is built on a latency-aware feedback control mechanism. It consolidates wimpy and brawny servers into composite nodes performing latency-critical applications to improve overall energy efficiency while ensuring QoS. The key idea behind Montgolfier is to mitigate the negative effect of server switches by dynamic load prediction and to determine thin-provisioned configurations in fine-grain manner within servers for daily fluctuating loads. Our evaluation results show that Montgolfier reduces energy consumption by up to 34.9% without violating any QoS constraints.

中文翻译:

数据中心异构服务器的节能电源管理

异构服务器的电源管理在提高数据中心的能源效率方面发挥着关键作用。由于此类服务器之间任务转换的开销,在这种情况下运行对延迟至关重要的 Web 服务仍然具有挑战性。在本文中,我们提出了一个运行时电源管理系统 Montgolfier,它建立在延迟感知反馈控制机制之上。它将弱小和强大的服务器整合到复合节点中,执行延迟关键应用程序,以提高整体能源效率,同时确保 QoS。Montgolfier 背后的关键思想是通过动态负载预测来减轻服务器切换的负面影响,并在服务器内以细粒度的方式为日常波动的负载确定精简配置。
更新日期:2020-04-06
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