CoolDC:具有工作负载感知温度扩展功能的低成本浸入式冷却数据中心

IF 1.5 3区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Dongmoon Min, Ilkwon Byun, Gyu-hyeon Lee, Jangwoo Kim
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引用次数: 0

摘要

对于数据中心架构师来说,最重要的目标是最大限度地降低数据中心在目标性能下的总拥有成本(即 TCO/性能)。由于数据中心的主要组成部分是服务器群,降低总拥有成本/性能的最有效方法就是提高服务器的性能和能效。为了实现这一目标,我们认为将每台服务器的温度降低到最具成本效益的点(或温度缩放)是非常有前途的。在本文中,我们提出了一种新颖且可立即应用的低温冷却方法 CoolDC,以最大限度地降低数据中心的总体拥有成本。其关键思路是为目标服务器和工作负载找到并应用最具成本效益的低温。为此,我们首先对整个服务器采用浸入式冷却方法,以保持稳定的低温,同时减少额外的冷却和维护成本。其次,通过仔细估算低温下的所有成本和收益,我们确定了数据中心运行的 TCO 最佳温度(例如,248K~273K(-25℃~0℃))。最后,我们提出了 CoolDC,即我们的浸入式冷却数据中心架构,可使每个工作负载在各自的 TCO 最佳温度下运行。通过采用我们的低温工作负载感知温度扩展技术,CoolDC 的总体拥有成本/性能分别比传统的风冷数据中心和浸入式冷却数据中心低 12.7% 和 13.4%,而且无需对现有计算机进行任何改动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CoolDC: A Cost-Effective Immersion-Cooled Datacenter with Workload-Aware Temperature Scaling

For datacenter architects, it is the most important goal to minimize the datacenter’s total cost of ownership for the target performance (i.e., TCO/performance). As the major component of a datacenter is a server farm, the most effective way of reducing TCO/performance is to improve the server’s performance and power efficiency. To achieve the goal, we claim that it is highly promising to reduce each server’s temperature to its most cost-effective point (or temperature scaling).

In this paper, we propose CoolDC, a novel and immediately-applicable low-temperature cooling method to minimize the datacenter’s TCO. The key idea is to find and apply the most cost-effective sub-freezing temperature to target servers and workloads. For that purpose, we first apply the immersion cooling method to the entire servers to maintain a stable low temperature with little extra cooling and maintenance costs. Second, we define the TCO-optimal temperature for datacenter operation (e.g., 248K~273K (-25℃~0℃)) by carefully estimating all the costs and benefits at low temperatures. Finally, we propose CoolDC, our immersion-cooling datacenter architecture to run every workload at its own TCO-optimal temperature. By incorporating our low-temperature workload-aware temperature scaling, CoolDC achieves 12.7% and 13.4% lower TCO/performance than the conventional air-cooled and immersion-cooled datacenters, respectively, without any modification to existing computers.

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来源期刊
ACM Transactions on Architecture and Code Optimization
ACM Transactions on Architecture and Code Optimization 工程技术-计算机:理论方法
CiteScore
3.60
自引率
6.20%
发文量
78
审稿时长
6-12 weeks
期刊介绍: ACM Transactions on Architecture and Code Optimization (TACO) focuses on hardware, software, and system research spanning the fields of computer architecture and code optimization. Articles that appear in TACO will either present new techniques and concepts or report on experiences and experiments with actual systems. Insights useful to architects, hardware or software developers, designers, builders, and users will be emphasized.
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