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P2 Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters

Carbon Explorer:面向碳感知数据中心设计的整体框架
ASPLOS Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 22023匹配度 0/10 · 论文主题是数据中心碳感知运行与能源调度优化,与用户画像中的静态分析、LLM/Agent、浮点程序分析和贝叶斯程序分析均无直接关系。虽然标签含“体系结构”且涉及工作负载调度,但不属于 PL/AI 交叉或程序分析方向。引用 163 inbox
Bilge Acun, Benjamin Lee, Fiodar Kazhamiaka, Kiwan Maeng, Udit Gupta, Manoj Chakkaravarthy, David Brooks, Carole-Jean Wu
crossref: 2026-09-12

AI 速览

一句话:提出 Carbon Explorer 框架,用于权衡数据中心运营碳与隐含碳,并优化 24/7 无碳运行方案。

科技公司常通过可再生能源投资和购电协议获得抵扣,使数据中心在年度层面实现净零;但逐小时看,当无碳能源稀缺时仍会从电网消耗高碳电力。Carbon Explorer 是一个整体分析框架,用于探索 24/7 无碳数据中心的解空间。它综合考虑互补可再生能源、储能与工作负载调度,并按地理位置和工作负载在运营碳与隐含碳之间做权衡,优化 24/7 无碳运行方案。该框架已开源。

问题
年度净零不等于逐小时无碳,数据中心在无碳能源稀缺时仍会消耗高碳电网电力。
方法
提出 Carbon Explorer 整体框架,对互补可再生能源、储能和工作负载调度等方案组合进行建模与分析,并按地理位置和工作负载优化运营碳与隐含碳的权衡。
评估
利用 Carbon Explorer 分析解空间,优化不同地理位置和工作负载下 24/7 无碳数据中心的方案组合;框架已开源。
原文摘要(Abstract)

Technology companies reduce their datacenters’ carbon footprint by investing in renewable energy generation and receiving credits from power purchase agreements. Annually, datacenters offset their energy consumption with generation credits (Net Zero). But hourly, datacenters often consume carbon-intensive energy from the grid when carbon-free energy is scarce. Relying on intermittent renewable energy in every hour (24/7) requires a mix of renewable energy from complementary sources, energy storage, and workload scheduling. In this paper, we present the Carbon Explorer framework to analyze the solution space. We use Carbon Explorer to balance trade-offs between operational and embodied carbon, optimizing the mix of solutions for 24/7 carbon-free datacenter operation based on geographic location and workload. Carbon Explorer has been open-sourced at https://github.com/facebookresearch/CarbonExplorer.

链接与引用

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BibTeX
@inproceedings{paperbot10007,
  title = {Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters},
  author = {Bilge Acun and Benjamin Lee and Fiodar Kazhamiaka and Kiwan Maeng and Udit Gupta and Manoj Chakkaravarthy and David Brooks and Carole-Jean Wu},
  booktitle = {ASPLOS},
  year = {2023},
  doi = {10.1145/3575693.3575754}
}