Workload-aware Power Management of Cluster Systems

摘要：

Along with the increased awareness of energy cost, power management becomes a big issue for clusters. In this study, we investigate the workload aware power management techniques for cluster systems and propose a new power management policy. The considered power management techniques are dynamic workload consolidation and usage of dynamic power range enabled by low power states on servers. The power management policy has been implemented on OpenPBS with Maui, which reduces about ten percent power consumption and optimizes workload distribution to lower the impact on performance.

关键词： cluster workload-aware scheduling power management

作者: Zhuo Liu Aihua Liang Limin Xiao Li Ruan

作者单位: State Key Laboratory of Software Development Environment Beihang University Beijing, China School of Computer Science and Engineering Beihang University Beijing, China

会议类型: 国际会议

会议名称: 第九届分布式计算及其应用国际学术研讨会

会议地点: 香港

会议语种:英文

页码: 603-608

在线出版日期: 2010-08-12（万方平台首次上网日期，不代表论文的发表时间）