论文标题
树屋：碳吸引数据中心软件的案例
Treehouse: A Case For Carbon-Aware Datacenter Software
论文作者
论文摘要
丹纳德（Dennard）规模的终结和摩尔定律的放缓使数据中心的能量使用置于不可持续的道路上。数据中心已经是全球用电的很大一部分，并且申请需求的速度迅速。我们认为，通过以软件为中心的方法可以大大降低数据中心计算的碳强度：通过使应用程序开发人员可以通过细粒度可见，通过修改系统API来使能源和碳可见，以使性能和碳排放之间的知情贸易变得可见，并通过提高申请节目的水平，以促进更高的能够进行稳定的精力，以便灵活地使用高效的高效，并有效地进行了高效的效率。我们还为系统软件制定了研究议程，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.
