CSR: Small: Scheduling Energy Consumption in Green Datacenters

CSR：小：安排绿色数据中心的能源消耗

• 批准号: 1117368
• 负责人: Ricardo Bianchini
• 金额: $ 42万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1117368&HistoricalAwards=false
• 关键词: CSR; Small; Scheduling; Energy; Consumption

The massive energy consumption of today?s datacenters translates into high monetary and environmental costs; the latter because most of the electricity produced in the US comes from burning coal, a greenhouse-gas-intensive approach for producing energy. We refer to such energy as ?brown?, as opposed to the ?green? energy produced by clean energy sources.An increasingly popular approach for reducing both costs is for datacenters to generate their own green energy or draw power directly from a nearby green energy plant. In light of this trend, the goal of this project is to study how best to exploit solar and wind energy for lowering energy costs and brown energy consumption in datacenters. The major challenge in using these types of green energy is that they are not always available.In this context, our research focuses on: (1) Characterizing and modeling datacenter workloads and green energy production; (2) Designing load scheduling and energy usage policies; (3) Designing energy management policies that account for green energy; and (4) Designing systems that leverage our models and policies.Our project will impact society in many ways, including: (1) reducing the brown energy consumption and the carbon footprint of datacenters; (2) promoting the generation and consumption of green energy; and (3) creating the machinery needed to exploit green energy in datacenters for highest benefit. Furthermore, we believe that undertaking work with such clearly defined societal impact will help us attract and train a diverse and committed set of undergraduate and graduate students.

当今数据中心的大量能源消耗转化为高昂的货币和环境成本；后者是因为美国生产的大部分电力来自燃煤，这是一种温室气体密集型能源生产方式。我们将这种能量称为“棕色”，而不是“绿色”。降低成本的一种日益流行的方法是数据中心自己产生绿色能源或直接从附近的绿色能源工厂获取电力。 鉴于这一趋势，该项目的目标是研究如何最好地利用太阳能和风能来降低数据中心的能源成本和棕色能源消耗。使用这些类型的绿色能源的主要挑战是它们并不总是可用。在这种背景下，我们的研究重点是：（1）对数据中心工作负载和绿色能源生产进行表征和建模； （2）设计负荷调度和能源使用政策； （三）设计考虑绿色能源的能源管理政策； (4) 设计利用我们的模型和政策的系统。我们的项目将以多种方式影响社会，包括： (1) 减少数据中心的棕色能源消耗和碳足迹； （二）促进绿色能源的生产和消费； (3) 创建在数据中心利用绿色能源以获得最高效益所需的机械。 此外，我们相信开展具有如此明确的社会影响的工作将有助于我们吸引和培养多元化和忠诚的本科生和研究生。