Welcome to the Awesome Sustainable Data Center repository! This repo is dedicated to compiling a curated list of resources, literature, technical papers, tools, and best practices aimed at pursing data center sustainability in the tech industry.
- Sustainable Data Center
- Handbooks
- Tech Blogs
- Industrial Reports
- Research Papers
- Open-Source Projects
Data centers are the backbone of the modern digital world. Data centers consume about 1-2% of the world's total electricity demand, a figure that is expected to grow with the digital economy's expansion. The carbon footprint of data centers comes from their energy consumption and the energy sources used. Many data centers still rely on non-renewable energy sources, which contribute to their high carbon emissions.
Sustainable data centers aim to minimize environmental impact by optimizing energy usage, utilizing renewable energy sources, and employing innovative cooling technologies, among other strategies. The movement towards sustainable data centers is not just about reducing carbon emissions but also about ensuring the long-term viability and efficiency of the tech industry's infrastructure.
- 张泉. 数据中心节能技术与应用. 机械工业出版社, 2018. (Chinese Textbook for Data Center Basics Knowledge) [PDF]
- Our data centers now work harder when the sun shines and wind blows [Google Blog]
- 24/7 Carbon-Free Energy: Powering up new clean energy projects across the globe [Google Blog]
| Year | Report | Institute | Description |
|---|---|---|---|
| 2023 | Uptime Institute's Global Data Center Survey Results 2023 | UptimeInstitute | - |
| 2022 | Uptime Institute's Global Data Center Survey Results 2022 | UptimeInstitute | - |
| 2021 | Uptime Institute's Global Data Center Survey Results 2021 | UptimeInstitute | - |
| Year | Report | Institute | Description |
|---|
| Year | Report | Institute | Description |
|---|---|---|---|
| 2014 | UGreen Data Centre Technology Roadmap | IMDA | - |
Term definitions:
- RL: Reinforcement Learning
- PIML: Physics-Informed Machine Learning
- LyaOpt: Lyapunov Optimization
| Year | Paper | Venue | Techology | Objective | Code |
|---|---|---|---|---|---|
| 2023 | Toward Model-Assisted Safe Reinforcement Learning for Data Center Cooling Control: A Lyapunov-based Approach | ACM e-Energy | RL, LyaOpt | Carbon | - |
| 2023 | Phyllis: Physics-Informed Lifelong Reinforcement Learning for Data Center Cooling Control | ACM e-Energy | RL, PIML | Power Usage | - |
Let's work together to make data centers a cornerstone of a sustainable future!
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent