一种基于新能源驱动的存储系统的能耗优化方案

doi:10.11896／j.issn.1002-137X.2018.07.010

摘要/Abstract

摘要： 能源成本的增长和环境问题的日益突出使得数据中心面临严峻挑战,引进经济环保的新能源已经迫在眉睫。但是,新能源的间歇性、不稳定性和突变性等特点,导致数据中心无法有效适应新能源。为此,各大数据中心提出能源管理策略和负载调度算法等解决方案,但是现有的研究成果大多是针对计算方面的能耗优化,无法适应于存储方面。鉴于此,提出一种基于新能源驱动的存储系统的能耗优化方案,利用不同存储介质的特性和在线-离线负载划分模型来实现负载能耗需求和新能源供应的匹配。为保证存储系统的性能和能耗效率,采用双驱动和虚拟化合并技术实现细粒度的能耗控制方案;此外,还设计并实现了一种离线负载优化调度算法,进一步提高了新能源的利用率。实验结果表明,优化能耗方案可以使新能源的利用率达到95%,同时保证存储系统性能的退化比例低于9.8%。

关键词: 负载调度, 能耗优化, 新能源驱动, 虚拟化合并, 异构存储系统

Abstract: The growth of energy costs and the increasing environmental problems make the data center face severe challenges,and the introduction of economic environment-friendly new energy is imminent.But the new energy has several cha-racteristics such as intermittent,unstable and mutagenic,causing the data center can not effectively adapt new energy.To this end,the major data centers put forward many solutions,such as energy management strategies and load scheduling algorithms,etc.However,most of the existing research results emphasize the optimization of the calculation of energy consumption,and it can not be further adapted to storage.Therefore,this paper presented an energy consumption optimization scheme for new energy-driven storage system,and used the characteristics of different storage media and online-offline workload classification model to implement the matching between workload energy comsumption requirement and new energy supplying.In order to guarantee the performance and improve the energy efficiency of the storage system,the dual-drive energy control method and the virtualization consolidation technology were used to achieve fine-grained energy control program.In addition,this paper also designed and implemented an offline-workload scheduling algorithm to further improve the utilization of new energy.The experimental results show that the optimization scheme for new energy-driven storage system can make the utilization rate of new energy reach 95%,while ensuring the degradation rate of the storage system is less than 9.8%.

Key words: Energy optimization, Heterogeneous storage systems, New energy-driven, Virtualization consolidation, Workload scheduling

中图分类号:

D520

庄晓照, 万继光, 张艺文, 瞿晓阳. 一种基于新能源驱动的存储系统的能耗优化方案[J]. 计算机科学, 2018, 45(7): 66-72. https://doi.org/10.11896／j.issn.1002-137X.2018.07.010

ZHUANG Xiao-zhao, WAN Ji-guang, ZHANG Yi-wen, QU Xiao-yang. Energy Consumption Optimization Scheme for New Energy-driven Storage System[J]. Computer Science, 2018, 45(7): 66-72. https://doi.org/10.11896／j.issn.1002-137X.2018.07.010

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