D-PALD: A Dynamic Power-Aware Load Dispatcher with Response Time Percentile Guarantee in Heterogeneous Clusters

Xu Zhou, Q. Cao, C. Xie, Xubin He
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引用次数: 0

Abstract

The power consumption of a server is not linear to its activeness, i.e., a server with 10% load may still draw as much as 60% of its peak power, therefore, a significant amount of energy has been used to keep servers active even under very light or idle loads. The resulting effect has been increased low power-effectiveness in data centers which elevate ownership costs and put more pressure on rack and enclosure densities. This motivates us to design a scheme to dynamically dispatch load to achieve energy efficiency while maintaining the quality of service (QoS) by exploiting a fundamental characteristic of data centers: heterogeneity. In this work, we propose D-PALD to guarantee response time percentile while dynamically dispatch the workload among the servers to maximize the power efficiency in heterogeneous data centers. We develop a power efficiency model to characterize properties of servers while providing the percentile guarantee and also design a power aware load dispatching algorithm. Our experiments demonstrate that DPALD can save a significant amount of power without sacrificing user performance compared to the baseline power management algorithms.
异构集群中具有响应时间百分位数保证的动态功率感知负载分派器
服务器的功耗与其活跃度不是线性的,也就是说,负载为10%的服务器仍然可能消耗其峰值功率的60%,因此,即使在非常轻的负载或空闲负载下,也要使用大量的能量来保持服务器的活跃度。由此产生的影响是数据中心的低功率效率增加,这提高了拥有成本,并给机架和机箱密度带来了更大的压力。这促使我们设计一种方案,通过利用数据中心的一个基本特征:异构性来动态分配负载,以实现能源效率,同时保持服务质量(QoS)。在本研究中,我们提出D-PALD在保证响应时间百分位数的同时,在服务器之间动态分配工作负载,以最大限度地提高异构数据中心的电源效率。在提供百分位数保证的同时,我们建立了一个功率效率模型来表征服务器的特性,并设计了一个功率感知的负载调度算法。我们的实验表明,与基准电源管理算法相比,DPALD可以在不牺牲用户性能的情况下节省大量的电源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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