CAREER: Energy Prediction and Conservation for Server Clusters

以前的电力和能源研究几乎都集中在电池驱动的设备上。 本研究的主要目标是：（1）开发一种结合联合收割机分析建模、实验和优化算法的方法和工具来预测服务器集群的功率/能量节约技术;（2）开发可以使用预测基础设施来优化当前和未来服务器集群两者的消耗而没有过度性能降级的功率/能量节约技术，以及（3）设计，实现，并对采用这些技术的服务器集群系统进行了评估，这一研究将使服务器集群能够被设计成一个特定的、低消耗的服务器集群。 此外，它允许保护技术做出关于功率、能量和性能的基本权衡决策。 鉴于互联网组织所依赖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。

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.