Optimal Server Provisioning and Frequency Adjustment in Server Clusters

Xinying Zheng, Yu Cai
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引用次数: 15

Abstract

Green computing is a hot topic that received a great amount of interest in the past few years. This paper explores the benefits of Dynamic Voltage/Frequency Scaling (DV/FS) and server number controlling Vary-On Vary-Off (VOVF) for power management in a server cluster. Previous work mostly addressed the DV/FS and VOVF separately. In this paper, an optimization problem is formulated to achieve energy savings while ensure performance. DV/FS and VOVF mechanisms are combined to obtain an optimal power management tactics. The presented optimization model provides controllable and predictable quantitative control of power consumption with theoretically guaranteed service performance. We further study overhead of the proposed scheme and provide a Double Control Periods (DCP) model to compensate the transition overhead. The power optimization model and DCP model are evaluated via extensive simulations, they are also justified by the real workload data trace. The results prove the effectiveness and efficiency of the proposed models.
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服务器集群的最优分配和频率调整
绿色计算是近年来引起人们极大兴趣的一个热门话题。本文探讨了动态电压/频率缩放(DV/FS)和服务器数量控制变开变关(VOVF)对服务器集群电源管理的好处。以前的工作主要是分别处理DV/FS和VOVF。本文提出了在保证性能的同时实现节能的优化问题。将DV/FS和VOVF机制相结合,获得最佳的电源管理策略。所提出的优化模型在理论上保证服务性能的前提下,提供了可控制、可预测的电量定量控制。我们进一步研究了该方案的开销,并提供了一个双控制周期(DCP)模型来补偿转换开销。通过大量的仿真对功率优化模型和DCP模型进行了评估,并通过实际工作负载数据跟踪对其进行了验证。结果证明了所提模型的有效性和有效性。
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