TY - JOUR
T1 - Cooling as You Wish
T2 - Component-Level Cooling for Heterogeneous Edge Datacenters
AU - Liu, Fangming
AU - Pei, Qiangyu
AU - Chen, Shutong
AU - Yuan, Yongjie
AU - Zhang, Qixia
AU - Zhu, Xinhui
AU - Jia, Ziyang
AU - Xu, Fei
AU - Zhang, Dong
AU - Yan, Bingheng
N1 - Publisher Copyright:
© 1968-2012 IEEE.
PY - 2026
Y1 - 2026
N2 - As computing shifts toward the edge, edge datacenters are becoming essential for supporting diverse real-time applications. Unlike traditional cloud datacenters, edge datacenters face unique cooling challenges due to their requirements for proximity to end users, high density, and hardware heterogeneity. While warm water cooling is a promising technique for this infrastructure, current one-size-fits-all cooling strategies significantly compromise efficiency due to severe inter- and intra-component hotspots. In this work, we present CoolEdge+, a cost-effective component–level water cooling system for enhancing the cooling efficiency of edge datacenters. Specifically, CoolEdge+ dynamically adjusts the inlet water temperature for each component through a carefully designed water circulation architecture to mitigate inter-component hotspots. To address intra-component hotspots, it employs vapor chamber–based cold plates that rapidly dissipate heat without manual intervention or additional energy consumption. We further design a fine-grained cooling control framework that leverages a well-managed power capping approach to decide on customized inlet water temperatures and hardware power limits. Based on a hardware prototype and a real-world trace from Alibaba PAI, evaluation results show that CoolEdge+ reduces cooling energy consumption by up to 27.19% compared to existing coarse-grained systems, while maintaining performance guarantees. Compared to the state-of-the-art CoolEdge, CoolEdge+ saves 35.24% more cooling costs with comparable energy consumption and no latency violations.
AB - As computing shifts toward the edge, edge datacenters are becoming essential for supporting diverse real-time applications. Unlike traditional cloud datacenters, edge datacenters face unique cooling challenges due to their requirements for proximity to end users, high density, and hardware heterogeneity. While warm water cooling is a promising technique for this infrastructure, current one-size-fits-all cooling strategies significantly compromise efficiency due to severe inter- and intra-component hotspots. In this work, we present CoolEdge+, a cost-effective component–level water cooling system for enhancing the cooling efficiency of edge datacenters. Specifically, CoolEdge+ dynamically adjusts the inlet water temperature for each component through a carefully designed water circulation architecture to mitigate inter-component hotspots. To address intra-component hotspots, it employs vapor chamber–based cold plates that rapidly dissipate heat without manual intervention or additional energy consumption. We further design a fine-grained cooling control framework that leverages a well-managed power capping approach to decide on customized inlet water temperatures and hardware power limits. Based on a hardware prototype and a real-world trace from Alibaba PAI, evaluation results show that CoolEdge+ reduces cooling energy consumption by up to 27.19% compared to existing coarse-grained systems, while maintaining performance guarantees. Compared to the state-of-the-art CoolEdge, CoolEdge+ saves 35.24% more cooling costs with comparable energy consumption and no latency violations.
KW - edge datacenter energy
KW - heterogeneity
KW - hotspot mitigation
KW - vapor chamber
KW - warm water cooling
UR - https://www.scopus.com/pages/publications/105027985333
U2 - 10.1109/TC.2026.3654341
DO - 10.1109/TC.2026.3654341
M3 - 文章
AN - SCOPUS:105027985333
SN - 0018-9340
JO - IEEE Transactions on Computers
JF - IEEE Transactions on Computers
ER -