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Minimizing Thermal Stress for Data Center Servers through Thermal-Aware Relocation

机译:通过热感知重定位最大程度地降低数据中心服务器的热应力

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摘要

A rise in inlet air temperature may lower the rate of heat dissipation from air cooled computing servers. This introduces a thermal stress to these servers. As a result, the poorly cooled active servers will start conducting heat to the neighboring servers and giving rise to hotspot regions of thermal stress, inside the data center. As a result, the physical hardware of these servers may fail, thus causing performance loss, monetary loss, and higher energy consumption for cooling mechanism. In order to minimize these situations, this paper performs the profiling of inlet temperature sensitivity (ITS) and defines the optimum location for each server to minimize the chances of creating a thermal hotspot and thermal stress. Based upon novel ITS analysis, a thermal state monitoring and server relocation algorithm for data centers is being proposed. The contribution of this paper is bringing the peak outlet temperatures of the relocated servers closer to average outlet temperature by over 5 times, lowering the average peak outlet temperature by 3.5% and minimizing the thermal stress.
机译:进气温度的升高可能会降低空气冷却的计算服务器的散热速率。这给这些服务器带来了热压力。结果,冷却不良的活动服务器将开始向相邻服务器传导热量,并在数据中心内部引起热应力热点区域。结果,这些服务器的物理硬件可能会发生故障,从而导致性能损失,金钱损失以及冷却机制的更高能耗。为了最大程度地减少这些情况,本文对入口温度敏感度(ITS)进行了分析,并为每台服务器定义了最佳位置,以最大程度地减少产生热点和热应力的机会。基于新的ITS分析,提出了一种用于数据中心的热状态监控和服务器重定位算法。本文的作用是使重新定位的服务器的峰值出口温度接近平均出口温度5倍以上,将平均峰值出口温度降低3.5%,并将热应力降至最低。

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