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将重点放在电池操作的设备上。 相比之下，这项研究的重点是用于服务器簇的功率，能量预测和保护。研究的主要目标是：（1）开发一种方法和工具，该方法结合了分析建模，实验和优化算法，以预测功率/能量能源保护技术服务器群； （2）开发能够使用预测基础架构来优化Curren和未来服务器群集的消耗的功率/节能技术，而无需性能过多，并且（3）以设计，实现和评估群集系统利用这些技术。这项研究将允许服务器群集设计为特定和低消费量。 此外，它允许保护技术做出有关权力，能源和绩效的基本权衡决策。 考虑到Internet的计算模型依赖于大型服务器群集，这些发展将具有重要的含义。