Treehouse: A Case For Carbon-Aware Datacenter Software

Treehouse: A Case For Carbon-Aware Datacenter Software
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DOI:
10.1145/3630614.3630626
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发表时间:
2022-01
期刊:
ACM SIGENERGY Energy Informatics Review
影响因子:
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通讯作者:
Thomas Anderson;A. Belay;Mosharaf Chowdhury;Asaf Cidon;Irene Zhang
Thomas Anderson;A. Belay;Mosharaf Chowdhury;Asaf Cidon;Irene Zhang
中科院分区:
其他
文献类型:
--
作者:
Thomas Anderson;A. Belay;Mosharaf Chowdhury;Asaf Cidon;Irene Zhang

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登纳德缩放的结束和摩尔定律的放缓使数据中心的能源使用走上了不可持续的道路。数据中心已经占全球用电量的很大一部分,应用需求正在迅速扩大。我们认为,通过以软件为中心的方法可以大幅降低数据中心计算的碳强度:通过使应用程序开发人员在细粒度的基础上可见能源和碳,通过修改系统API以使其能够在性能和碳排放之间进行明智的权衡,并通过提高应用程序编程水平以允许灵活使用更节能的计算和存储手段。我们还制定了系统软件的研究议程,以减少数据中心计算的碳足迹。
The end of Dennard scaling and the slowing of Moore's Law has put the energy use of datacenters on an unsustainable path. Datacenters are already a significant fraction of worldwide electricity use, with application demand scaling at a rapid rate. We argue that substantial reductions in the carbon intensity of datacenter computing are possible with a software-centric approach: by making energy and carbon visible to application developers on a fine-grained basis, by modifying system APIs to make it possible to make informed trade offs between performance and carbon emissions, and by raising the level of application programming to allow for flexible use of more energy efficient means of compute and storage. We also lay out a research agenda for systems software to reduce the carbon footprint of datacenter computing.