EAGER: Design and Implementation of a Renewable Adaptive Cluster

EAGER：可再生自适应集群的设计与实现

• 批准号: 1230776
• 负责人: Christopher Stewart
• 金额: $ 20万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2014-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1230776&HistoricalAwards=false
• 关键词: EAGER; Design; Implementation; Renewable; Adaptive; EAGER; Design; Implementation; Renewable; Adaptive

Datacenters have enriched the planet, making services like e-commerce and web search available to billions. However, the growing carbon footprint of datacenters adds to climate change and, in the long term, could harm society's perception of the whole field. Our ongoing work builds mechanisms for sustainable datacenters, i.e., datacenters that profit while maintaining low carbon footprints. Intellectually, the work contributes new analytic models that relate a datacenter's carbon footprint to its utilization and energy costs. These models must consider complicated issues like solar- and wind-energy outages, heavy-tail and diurnal e-commerce workloads, and workload and energy balancing within datacenters (e.g., dynamically powering servers off and DVFS). Further, the models must be holistic, explaining these factors in terms of profit. In terms of broad impacts, this work will improve the economic competitiveness and sustainability of datacenter-driven computing.

数据中心已经丰富了地球，为数十亿美元提供了电子商务和网络搜索等服务。 但是，数据中心的碳足迹不断增加，从而增加了气候变化，从长远来看，可能会损害社会对整个领域的看法。 我们正在进行的工作为可持续数据中心的机制建立了机制，即在保持低碳足迹的同时获利的数据中心。 从理智上讲，这项工作贡献了新的分析模型，将数据中心的碳足迹与其利用率和能源成本联系起来。 这些模型必须考虑复杂的问题，例如太阳能和风能中断，重尾和昼夜电子商务工作负载以及数据中心内的工作量和能量平衡（例如，动态供电服务器关闭和DVFS）。此外，模型必须是整体的，从利润方面解释了这些因素。 在广泛的影响方面，这项工作将提高数据中心驱动计算的经济竞争力和可持续性。