Demo Data from EDBT 2026 / reviewers in the wild / expert
Sirui Feng
dblp:242/9292
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Energy-efficient computing · 87% Cloud and datacenter computing · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Energy-efficient computing › thermal management
datacenter cooling |
0.4 | 1 | 2019 | Fine-grained warm water cooling for improving datacenter economy · ISCA 2019 |
Energy-efficient computing › thermal management
datacenter thermal management |
0.4 | 1 | 2019 | Fine-grained warm water cooling for improving datacenter economy · ISCA 2019 |
Methods — techniques the papers use, named apart from their topics
thermoelectric cooling · 0.4adaptive control · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Fine-grained warm water cooling for improving datacenter economyabstractDriven by the increasing power consumption of datacenters, the industry is focusing more on water cooling for improving the energy efficiency. Using warm water to cool servers has been considered as an efficient method to reduce the cooling energy. However, warm water cooling may lead to the risk of cooling failure and its energy efficiency suffers from the thermal imbalance among servers, due to the lack of fine-grained cooling control. In this paper, we propose a hybrid cooling architecture design that incorporates thermoelectric cooler into the water cooling system, to deal with cooling mismatching in a fine-grained manner. We exploit the warm water cooling strategy and design an adaptive cooling control framework according to workload variations, to make water cooling system more economical for datacenters. We evaluate the hybrid water cooling design based on a real hardware prototype and cluster traces from Google and Alibaba. Compared with conventional water cooling system, our hybrid water cooling system can reduce the energy consumption by 58.72%~78.43% to handle the cooling mismatching. Weixiang Jiang, Ziyang Jia, Sirui Feng, Fangming Liu, Hai Jin 0001 |
ISCA | 3 |