Major cloud providers intend to reduce carbon emissions by 2030, which requires effective interventions with short deployment timelines. We find that designing carbon-efficient compute server SKUs, or GreenSKUs, is a promising avenue as compute servers cause the majority of cloud emissions. However, designing GreenSKUs has several adoption challenges.<\/p>\n
To address GreenSKU design challenges for the first time, we develop a systematic methodology and associated framework, GSF, that helps cloud providers make informed GreenSKU design and deployment decisions. GSF enables designing GreenSKU servers and evaluating their end-to-end performance and carbon impacts. GSF accounts for tradeoffs between different emission types and application performance requirements. We apply GSF within a leading cloud provider\u2019s production constraints to make a systematic case for designing and deploying GreenSKUs.<\/p>\n
We build a new GreenSKU and use GSF to show that it reduces carbon emissions per customer core by 29% compared to currently-deployed cloud servers. When deploying GreenSKUs in a way that meets applications\u2019 performance requirements, we reduce emissions by 16%. When incorporating overall data center overheads, GreenSKU reduces cloud emissions by 9%.<\/p>\n","protected":false},"excerpt":{"rendered":"
Major cloud providers intend to reduce carbon emissions by 2030, which requires effective interventions with short deployment timelines. We find that designing carbon-efficient compute server SKUs, or GreenSKUs, is a promising avenue as compute servers cause the majority of cloud emissions. However, designing GreenSKUs has several adoption challenges. 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