摘要
为进一步提升异构云数据中心网络(DCN)动态管理的科学性,在总结当前主流研究局限性的基础上构思一种基于全局相对最优化的绿色虚拟算法。算法综合考虑虚拟机迁移过程中可能涉及到的诸多客观因素,通过科学地规划时间门限、主机筛选策略、以及精度比较机制对虚拟机实施高效的迁移。数据考察表明,所部署的算法不仅可快速精确地物色到最适宜的目标主机节点,实施迁移期间的各项指标也均满足绿色要求。且相对于传统算法方案,所消耗的云DCN计算资源更少。
In order to further improve the scientificity of dynamic management of heterogeneous cloud data center network(DCN),a green virtual algorithm based on global relative optimization is proposed on the basis of summarizing the limitations of current mainstream research.Considering many objective factors that may be involved in the process of virtual machine migration,the algorithm implements efficient migration of virtual machine by scientifically planning time threshold,host screening strategy and precision comparison mechanism.Data investigation shows that the deployed algorithm can not only quickly and accurately find the most suitable target host nodes,but also meet the green requirements during the implementation of migration.Compared with the traditional algorithm scheme,the consumption of cloud DCN computing resources is less.
作者
黄金凤
HUANG Jin-feng(Fujian Chuanzheng Communications College,Fuzhou 350000,China)
出处
《信息技术》
2021年第2期67-72,共6页
Information Technology
基金
教育部科技发展中心“新一代信息技术创新项目”(2019ITA01022)
福建省交通运输厅科技研究基金资助项目(201324)。
关键词
云环境
开销
绿色
虚拟
迁移
cloud environment
cost
green
virtual
migration
