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.

今天的能源消耗量？美国的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烧煤炭，这是一种温室气体密集型的能源生产方式。我们把这种能量称为？布朗？而不是绿色？降低这两种成本的一种日益流行的方法是让发电厂自己产生绿色能源或直接从附近的绿色能源厂汲取电力。 鉴于这一趋势，本项目的目标是研究如何最好地利用太阳能和风能，以降低能源成本和发电厂的布朗能源消耗。在使用这些类型的绿色能源的主要挑战是，他们并不总是可用的。在这种情况下，我们的研究集中在：（1）表征和建模数据中心的工作负载和绿色能源生产;（2）设计负载调度和能源使用策略;（3）设计能源管理策略，占绿色能源;以及（4）设计利用我们的模型和政策的系统。我们的项目将在多方面影响社会，包括：（1）减少棕色能源消耗和商业中心的碳足迹;（2）促进绿色能源的生产和消费;以及（3）创造在发电厂开发绿色能源所需的机器，以获得最高贝内&。 此外，我们相信，承担这样明确的社会影响的工作将有助于我们吸引和培养一个多样化的和坚定的本科生和研究生。