负载驱动的机群系统动态功耗管理研究

Study of workload-driven dynamic power management for high performance computing clusters

为了通过动态功耗管理方法解决高性能计算机系统功耗与性能之间的权衡问题，提出了一种适用于同构机群环境下负载驱动的动态功耗管理（WDPM）策略。该WD．PM策略根据负载随时间变化的不均衡性，通过分析并行负载日志的到达特征，在改进超时动态功耗管理的基础上运用了基于负载预测的预唤醒方法和实时反馈修正机制。以真实负载日志和实际系统参数为源数据进行了模拟实验，而且做了WDPM策略与超时策略的对比测试。实验结果表明，WDPM策略能在增加极少量功耗的情况下，有效减少作业平均等待时间和系统中节点状态切换次数，能更好地获得性能与功耗间的平衡。

A workload-driven dynamic power management （WDPM） strategy is proposed to improve the tradeoff between power consumption and performance in homogeneous computing clusters. Through the empirical analysis of real workload logs in production systems, the WDPM strategy integrates the load prediction-based pre-wakeup approach and the dynamic feedback-based revising mechanism based on the improvement of the timeout strategy. By using the data from real workload logs and practical systems, the extensive simulations were conducted to investigate the performance and energy consumption of the strategy. The experimental results indicate that, as compared with the timeout strategy, the WDPM strategy can effectively reduce the average wait time of jobs and the node state switc- hing times of a system with a very little increase of power consumption. Therefore, it can alleviate the performance loss and achieve the better tradeoff of performance and power consumption.