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Dynamic allocation of power delivery paths in consolidated data centers based on adaptive UPS switching

机译:基于自适应UPS切换的整合数据中心中的电力输送路径的动态分配

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Although technique known as server consolidation approach in a data center can reduce the overall power consumption, the Power Usage Effectiveness (PUE) of the data center will still be negatively affected with presence of distributed Uninterruptible Power Supplies (UPSs). The impact on the PUE arises from the fact that all UPS modules are kept running to maintain power availability for only a few active servers during off-peak periods. To address this problem, in this paper technique for reducing power consumption in a data center by consolidating the UPSs used during off peak periods is proposed. The proposed technique achieves power savings by leveraging a micro Automatic Transfer Switch (micro-ATS) at the server end. The novelty of this work lies in developed adaptive algorithm that continuously looks for opportunities to reduce the number of UPSs by offloading under-loaded UPSs to a neighboring UPS whenever that neighboring UPS can handle the extra load. In various simulated scenarios involving corporate data centers, our approach demonstrates the ability to save more power and achieve lower PUE degradation compared with state-of-the-art approaches such as server consolidation. Specifically, the proposed approach achieves a savings of approximately 20% to 40% in a data center's power consumption, depending on the data center's off-peak periods, which can be accomplished using only 80% of the UPS modules in the data center. (C) 2018 Elsevier B.V. All rights reserved.
机译:尽管数据中心中称为服务器合并方法的技术可以减少总体功耗,但是由于存在分布式不间断电源(UPS),数据中心的电源使用效率(PUE)仍将受到负面影响。对PUE的影响源于以下事实,即所有UPS模块均保持运行,以在非高峰时段保持少数活动服务器的电源可用性。为了解决这个问题,在本文中提出了一种通过合并非高峰时段使用的UPS来减少数据中心功耗的技术。所提出的技术通过利用服务器端的微型自动转换开关(micro-ATS)来实现节能。这项工作的新颖性在于开发的自适应算法,该算法不断寻找机会,只要相邻的UPS可以处理额外的负载,就可以通过将欠载的UPS卸载到相邻的UPS来减少UPS的数量。在涉及企业数据中心的各种模拟方案中,与服务器整合等最新方法相比,我们的方法展示了节省更多电量并降低PUE降级的能力。具体而言,根据数据中心的非高峰时段,所提出的方法可节省大约20%至40%的数据中心功耗,而仅使用数据中心中80%的UPS模块即可实现。 (C)2018 Elsevier B.V.保留所有权利。

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