Designing Cloud Servers for Lower Carbon
Jaylen Wang, Daniel S. Berger, Fiodar Kazhamiaka, Celine Irvene, Chaojie Zhang, Esha Choukse, Kali Frost, Rodrigo Fonseca, Brijesh Warrier, Chetan Bansal, Jonathan Stern, Ricardo Bianchini, Akshitha Sriraman
摘要
To mitigate climate change, we must reduce carbon emissions from hyperscale cloud computing. We find that cloud compute servers cause the majority of emissions in a general-purpose cloud. Thus, we motivate designing carbon-efficient compute server SKUs, or GreenSKUs, using recently-available low-carbon server components. To this end, we design and build three GreenSKUs using low-carbon components, such as energy-efficient CPUs, reused old DRAM via CXL, and reused old SSDs.We detail several challenges that limit GreenSKUs, carbon savings at scale and may prevent their adoption by cloud providers. To address these challenges, we develop a novel methodology and associated framework, GSF (GreenSKU Framework), that enables a cloud provider to systematically evaluate a GreenSKU’s carbon savings at scale. We implement GSF within Microsoft Azure’s production constraints to evaluate our three GreenSKUs’ carbon savings. Using GSF, we show that our most carbon-efficient GreenSKU reduces emissions per core by compared to currently-deployed cloud servers. When designing GreenSKUs to meet applications’ performance requirements, we reduce emissions by . When incorporating overall data center overheads, our GreenSKU reduces Azure’s net cloud emissions by .
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引用它的顶会 Paper12
- Managing Memory Tiers with CXL in Virtualized EnvironmentsYuhong Zhong, Daniel S. Berger, Carl A. Waldspurger, Ryan Wee 等OSDI 2024 · 被引用 77 次
- Systematic CXL Memory Characterization and Performance Analysis at ScaleJinshu Liu, Hamid Hadian, Yuyue Wang, Daniel S. Berger 等ASPLOS 2025 · 被引用 47 次
- JITServe: SLO-aware LLM Serving with Imprecise Request InformationWei Zhang, Zhiyu Wu, Yi Mu, Rui Ning 等NSDI 2026 · 被引用 29 次
- WaterWise: Co-optimizing Carbon- and Water-Footprint Toward Environmentally Sustainable Cloud ComputingYankai Jiang, Rohan Basu Roy, Raghavendra Kanakagiri, Devesh TiwariPPoPP 2025 · 被引用 17 次
- Fair-CO2: Fair Attribution for Cloud Carbon EmissionsLeo Han, Jash Kakadia, Benjamin C. Lee, Udit GuptaISCA 2025 · 被引用 10 次
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- FIRM: An Intelligent Fine-grained Resource Management Framework for SLO-Oriented MicroservicesHaoran Qiu, Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk 等OSDI 2020 · 被引用 350 次
- Pond: CXL-Based Memory Pooling Systems for Cloud PlatformsHuaicheng Li, Daniel S. Berger, Lisa Hsu, Daniel Ernst 等ASPLOS 2023 · 被引用 328 次
- Borg: the next generationMuhammad Tirmazi, Adam Barker, Nan Deng, Md E. Haque 等EuroSys 2020 · 被引用 323 次
- Sinan: ML-based and QoS-aware resource management for cloud microservicesYanqi Zhang, Weizhe Hua, Zhuangzhuang Zhou, G. Edward Suh 等ASPLOS 2021 · 被引用 226 次
- Nightcore: efficient and scalable serverless computing for latency-sensitive, interactive microservicesZhipeng Jia, Emmett WitchelASPLOS 2021 · 被引用 218 次
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