CAREER: Energy Prediction and Conservation for Server Clusters

以前的电力和能源研究几乎完全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量预测和节约。本研究的主要目标是：(1)开发一种结合分析建模、实验和优化算法的方法和工具来预测服务器集群的功率/节能技术；(2)开发节能技术，利用预测基础设施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、实现和评估利用这些技术的集群系统。这项研究将允许服务器集群被设计成一个特定的和低消耗。此外，它允许节能技术在电力、能源和性能方面做出基本的权衡决定。考虑到组织Internet的计算模型依赖于大型服务器集群，这些发展将具有重要的意义。

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.