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Server Farms' Power Consumption Minimized Via Best Allocation of Servers and Ancillary Equipments

机译:服务器场的功耗最小化通过服务器和辅助设备的最佳分配最小化

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With a constant increase of servers worldwide, estimated in 2010 to be "50 million servers in the world today", Napier, A. L. [1]; the power needed to run server farms being "over 1% of the world-wide electricity consumption", Fettweis and Zimmermann [2]. This is inevitably coupled with more heat dissipation, leading to a cooling problem that constitutes 200% of the direct power consumption in server farms, Schott [3]. Considering the fact that "most servers are running at 5-15% of their capacity" Siebert [4]; many worldwide developments in technologies and methodologies were directed towards reducing power consumption in server farms; rather than tackling the most imperative problem of under utilization. The mathematical model presented in this research aims at reducing the power consumption by minimizing the number servers (and ancillary equipment), that need to be on, while meeting the required demand. The model guarantees arriving at the minimal operating power. Applying the proposed approach to three formulated examples resulted in reducing the percentage of idle servers from 7.3%, to 2.1% and then to 0% idle servers, respectively.
机译:全球服务器的不断增加,估计在2010年成为“今天的5000万台服务器”,Napier,A. L. [1];运行服务器场所需的力量是“超过世界范围的电力消耗量超过1%”,FettWeis和Zimmermann [2]。这不可避免地与更多的散热相结合,导致冷却问题构成了200%的服务器场直接功耗,Schott [3]。考虑到“大多数服务器以5-15%的容量运行”Siebert [4];技术和方法的许多全球发展都针对减少服务器场的功耗;而不是解决在利用下最令人必要的问题。本研究中提出的数学模型旨在通过最小化需要打开的数字服务器(和辅助设备)来降低功耗,这在满足所需的需求时。模型保证到达最小的操作电源。应用所提出的三种配方实例的方法导致将空闲服务器的百分比降低至2.1%,然后分别为0%空闲服务器。

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