中文摘要：

在最近的年里，力量节省问题在许多地里变得越来越重要并且吸引很多研究兴趣。在这篇论文，作者考虑在虚拟化的计算系统节省问题的力量。因为在象影响目的许多因素一样的系统有多重目的，这个问题复杂、难。作者将在性能上与一个优先的要求作为电源消费的一个优化问题提出这个问题，它在论文作为反应时间被拿。解决这个问题，作者基于最少平方的自我调节的管理者设计适应控制器动态地调整计算资源以便追踪给定的合理参考书表演然后用控制器供应在的追踪的结果最小化电源消费每次。模拟基于从真实机器和转开／关的时间延期收集的数据被实现机器在这个过程被包括。结果证明基于适应控制，理论能节省的这个方法极大地驱动消费与令人满意表演要求同时，这样解决这个问题合适、有效。

英文摘要：

In recent years, power saving problem has become more and more important in many fields and attracted a lot of research interests. In this paper, the authors consider the power saving problem in the virtualized computing system. Since there are multiple objectives in the system as well as many factors influencing the objectives, the problem is complex and hard. The authors will formulate the problem as an optimization problem of power consumption with a prior requirement on performance, which is taken as the response time in the paper. To solve the problem, the authors design the adaptive controller based on least-square self-tuning regulator to dynamically regulate the computing resource so as to track a given reasonable reference performance and then minimize the power consumption using the tracking result supplied by the controller at each time. Simulation is implemented based on the data collected from real machines and the time delay of turning on/off the machine is included in the process. The results show that this method based on adaptive control theory can save power consumption greatly with satisfying the performance requirement at the same time, thus it is suitable and effective to solve the problem.