关键词: 多层次功耗管理, 自学习负载预测, 按需启动, 频率调整

Abstract: This paper proposes a multi-level cluster power management，reducing power consumption of the cluster system with less effect on performance.This management can be divided into power management of cluster level and local.Cluster level mechanism presents an ondemand-start strategy based on self-learning load forecasting algorithm，providing computing resources according to the load.Local mechanism suggests an enhanced-conservative governor algorithm to improve the sensitivity of the frequency adjustment when load drops.The experiments show that this multi-level power management is more effective than other strategies for reducing overall system power consumption.

Key words: multi-level cluster power management, self-learning load forecasting algorithm, ondemand-start, frequency adjustment