CAREER: Energy Prediction and Conservation for Server Clusters

职业：服务器集群的能源预测和节约

• 批准号: 0238182
• 负责人: Ricardo Bianchini
• 金额: $ 40万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-07-01 至 2008-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0238182&HistoricalAwards=false
• 关键词: CAREER; Energy; Prediction; Conservation; Server

Previous power and energy research has focused almost exculsive on battery-operated devices. In contrast, this research is focused is focused on power and energy prediction and conservation for clusters of servers.The main goals of the research are: (1) to develop a methodology and a tool that combine analytical modeling, experimentation, and optimization algorithms to predict the power/energy conservation techniques server clusters; (2) to develop power/energy conservation techniques that can use the prediction infrastructure to optimize consumption for both curren and future server cluster without excessive performance degradingl and (3) to design, implement, and evaluate cluster systems that exploit these techniques.This research will allow server cluster to be engineered to a specific and low consumption. Furthermore, it allow conservation techniques to make fundamental tradeoff decisions about power, energy, and performance. These developments will have important implications, given that the computational model upon which the Internet is oragnized relies on large server clusters.

以前的电力和能源研究几乎只集中在电池供电的设备上。 相比之下，本研究的重点是服务器集群的功率和能源预测和节约。研究的主要目标是：（1）开发一种方法和工具，结合分析建模、实验和优化算法来预测服务器集群的功率/能源节约技术； (2) 开发功率/节能技术，可以使用预测基础设施来优化当前和未来服务器集群的消耗，而不会过度降低性能；(3) 设计、实施和评估利用这些技术的集群系统。这项研究将允许将服务器集群设计为特定的低消耗。 此外，它允许保护技术对功率、能量和性能做出基本的权衡决策。 鉴于组织互联网的计算模型依赖于大型服务器集群，这些发展将产生重要影响。