基于SDN的云数据中心能耗优化技术研究
首发时间:2017-12-07
摘要:为了应对移动互联网、物联网及云计算等技术的快速发展,运行大规模分布式计算的云数据中心在全球的建设方兴未艾,同时网络数据计算的能耗问题正引起广泛关注。而软件定义网络(Software-Defined Network , SDN)为传统网络架构的僵化问题提供了一种切实可行的解决方案。本文立足于SDN技术,提出了一种基于云数据中心的能耗控制方法。针对服务器节能,建立了虚拟机迁移整合问题的多目标优化模型,提出了基于混合单亲遗传算法的虚拟机迁移整合机制。此外,对于网络节能,提出基于流量感知的网络节能控制机制,通过计算节能网络拓扑、数据流的调度以及网络设备的休眠\唤醒机制来实现网络节能。实验验证了该算法在求解数据中心虚拟机迁移整合问题中体现出较好的性能,并分析了不同流量模式及不同拓扑规模下节能效果的优劣。
关键词: 云数据中心 软件定义网络 能耗控制 虚拟机迁移整合 网络节能
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Research on Energy Consumption Optimization Technology of SDN-Based Cloud Data Center
Abstract:In response to the mobile Internet, Internet of things and cloud computing technology fast development, the operation of large-scale distributed computing cloud data center construction in the world at the same time, the network data calculation of energy consumption problem is causing extensive concern. And the software-defined Network (SDN) provides a feasible solution to the rigid problem of traditional Network architecture. Based on SDN technology, this paper proposes a method of energy consumption control based on cloud data center. Aiming at server energy saving, the multi-objective optimization model of virtual machine migration integration is established, and the integration mechanism of virtual machine migration based on mixed single-parent genetic algorithm is proposed. In addition, for the network energy saving, energy-saving control mechanism based on traffic network of perception, by calculating the energy saving network topology, data stream scheduling and network equipment of dormancy \ awakens the mechanism to realize energy saving. The experimental results show that the algorithm can be used to solve the problem of virtual machine migration and integration in data center, and analyzes the advantages and disadvantages of energy saving effect of different flow patterns and different topological scale.
Keywords: Cloud data center,SDN, Energy consumption control,VM migration integration, Network energy saving
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