CoolDC: A Cost-Effective Immersion-Cooled Datacenter with Workload-Aware Temperature Scaling
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Published:2024-09-14
Issue:3
Volume:21
Page:1-27
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ISSN:1544-3566
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Container-title:ACM Transactions on Architecture and Code Optimization
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language:en
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Short-container-title:ACM Trans. Archit. Code Optim.
Author:
Min Dongmoon1ORCID,
Byun Ilkwon1ORCID,
Lee Gyu-Hyeon1ORCID,
Kim Jangwoo1ORCID
Affiliation:
1. Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea
Abstract
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 article, 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.
Funder
National Research Foundation of Korea
Creative Pioneering Researchers Program
Seoul National University
Automation and Systems Research Institute
Inter-university Semiconductor Research Center (ISRC) at Seoul National University
Publisher
Association for Computing Machinery (ACM)
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