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机构地区:[1]南京邮电大学物联网学院,江苏南京210003 [2]南京邮电大学计算机学院,江苏南京210003
出 处:《计算机技术与发展》2018年第2期78-82,87,共6页Computer Technology and Development
基 金:国家自然科学基金(61502246);江苏省科技计划项目(未来网络前瞻性研究项目)(BY20130951108)
摘 要:在云计算环境中,针对由于负载的动态变化导致某些节点负载过低,造成资源闲置和能源消耗的问题,提出一种面向节能的虚拟机在线迁移解决方案。综合考虑多种性能参数,提出一种节点负载率的计算方式,并通过云平台实时监测各个节点的负载情况。按照以节能为目标的资源调度规则,选择需要迁移的虚拟机,并为所有待迁移的虚拟机匹配合适的节点。通过基于内存页混合拷贝方式的虚拟机在线迁移技术,将所有待迁移的虚拟机迁移到其对应的目标节点上,并进一步降低迁移过程对服务质量的影响。迁移完成之后,关闭零负载节点,从而达到节能的目的。实验结果表明,该方案可以实现虚拟机迁移过程中的透明服务,并大大降低能耗,实现节能的优化目标。In the cloud computing environment,so as to solve the problem of idle resources and energy consumption due to somenodes with low workload caused by dynamic change of workload,we put forward an energy-efficient live migration solution ofvirtual machine. Considering a variety of performance parameters,we give a method of calculating the node load rate and realizethe real-time monitoring of the load to each node through a cloud platform. The virtual machines are selected and matched withthe appropriate nodes under the constraint of energy-saving resource scheduling rules. And all the virtual machines needed to migrate are migrated to the corresponding nodes,and the impact of migration on the quality of service through the virtual machinehybrid-copy live migration mode is further reduced. When migration completed,the zero-load nodes are closed,achieving thepurpose of energy saving. Experiment shows that the proposed solution can achieve a transparent service in the virtual machinemigration,extremely reducing energy consumption,achieving the aim of energy-saving.
分 类 号:TP39[自动化与计算机技术—计算机应用技术]
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