单相浸没式两套接服务器槽式与滑橇式的比较研究

K. Sivaraju, Pratik V. Bansode, Gautam Gupta, Jacob Lamotte-Dawaghreh, S. Saini, V. Simon, Joseph Herring, S. Karajgikar, V. Mulay, D. Agonafer
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引用次数: 0

摘要

将一组服务器浸入一个大型水箱中是采用单相浸入式冷却的习惯方法。但这种方法需要对现有的风冷基础设施进行彻底改造。将风冷型数据中心转换为浸入式冷却型数据中心的一种实用方法是保留机架和服务器的布置,并向每个服务器提供滑车配置中的浸入式液体——保持水平位置。本研究的目的是利用CFD表征一个2插座服务器在雪橇和坦克配置下的热性能。在储罐配置模型中,与典型的单相浸入式部署一样,服务器垂直浸入,冷却剂供应从下到上。在滑橇配置中,服务器方向保持不变(水平),流体供应被建模为连接到服务器同一侧的入口和出口歧管。CFD建模方法旨在确定服务器在两种配置下的传热行为,所研究的是一种市售的介电浸没液体EC 110。首先简化了服务器的详细基线几何形状,只考虑了重要的热源和/或影响服务器流特性的组件。考虑分析的一些组件包括CPU、存储驱动器和内存模块。将比较两种配置下服务器的性能,以确定两种服务器配置的效率,同时确保组件不超过各自的热阈值。通过改变冷却剂流速和介电温度来获得元件温度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative Study of Single-Phase Immersion Cooled Two Socket Server in Tank and Sled Configurations
Submerging a cluster of servers inside a large tank is the customary way of employing single-phase immersion cooling. But this approach requires a complete renovation of existing air-cooled infrastructure. A practical approach to convert an air-cooled data center to immersion cooled data center can be retaining the rack and server arrangements and supplying each server with immersion liquid in sled configuration – retaining horizontal position. The present study aims at characterizing the thermal performance of a 2-socket server in sled and tank configurations using CFD. In the tank configuration model, the server is immersed vertically with the coolant supply from bottom to top as in the case of a typical single-phase immersion deployments. In the sled configuration, the server orientation is retained (horizontally) and the fluid supply is modeled as an inlet and outlet manifold connected to the same side of the server. The CFD modeling approach is aimed to determine the heat transfer behavior of the server in two configurations being looked at was done for a commercially available dielectric immersion liquid, EC 110. A detailed baseline geometry of the server was first simplified, considering only the components that are significant source of heat and/or impact the server flow characteristics. Some of the components considered for analysis include CPU, storage drives and memory modules. The performance of the server in two configurations is compared to determine the efficiency of both the server configurations while ensuring the components do not exceed their respective thermal threshold. Component temperatures are obtained by varying the coolant flow rates and dielectric temperatures.
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