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应对灾难风险的多虚拟机快速协同撤离机制研究

本站小编 Free考研考试/2022-01-03

鲍宁海,,
李国平,
冉琴,
岳渤涵
重庆邮电大学通信与信息工程学院 重庆 400065
基金项目:国家自然科学基金(61671092),重庆市基础科学与前沿技术研究基金(cstc2016jcyjA0083),重庆市高校创新团队基金(KJTD201312)

详细信息
作者简介:鲍宁海:男,1973年生,博士,教授,研究方向为网络生存性、网络虚拟、网络节能、移动边缘计算等
李国平:男,1992年生,硕士,研究方向为网络生存性、网络虚拟
冉琴:女,1995年生,硕士生,研究方向为网络生存性、移动边缘计算
岳渤涵:男,1995年生,硕士生,研究方向为网络生存性、移动边缘计算
通讯作者:鲍宁海 baonh@cqupt.edu.cn
中图分类号:TN915

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文章访问数:145
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被引次数:0
出版历程

收稿日期:2020-11-10
修回日期:2021-04-18
网络出版日期:2021-08-18
刊出日期:2021-10-18

Research on Multi-virtual-machine Rapid Cooperative Evacuation Mechanism against Disaster Risks

Ninghai BAO,,
Guoping LI,
Qin RAN,
Bohan YUE
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Funds:The National Natural Science Foundation of China (61671092), The Fundamental Science and Frontier Technology Research Project of Chongqing (cstc2016jcyjA0083), The Chongqing City College Innovation Team (KJTD201312)


摘要
摘要:大规模灾难事件可能对通信网基础设施造成严重的威胁和破坏。针对大规模灾难风险下虚拟网的生存性问题,该文提出一种多虚拟机快速协同撤离(MRCE)机制。该机制采用后复制迁移技术实现虚拟机的在线迁移,通过基础迁移带宽的分配和升级,对属于同一虚拟网的多个风险虚拟机进行快速协同撤离,以减少单个虚拟网的撤离完成时长,降低损毁风险。仿真结果表明,该机制能在不同考察周期内获得较好的虚拟网撤离完成率和平均撤离完成时长。
关键词:虚拟网/
生存性/
灾难风险/
多虚拟机迁移/
协同撤离
Abstract:Large-scale disaster events might critically threaten and damage the infrastructure of telecom networks. In view of the virtual network survivability issue under large-scale disaster risks, a Multi-virtual-machine Rapid Cooperative Evacuation (MRCE) mechanism is proposed. The proposed mechanism employs the post-copy technique for live migration of virtual machines. By means of the basic migration bandwidth assignment and upgradation, a rapid cooperative evacuation is conducted on multiple risk virtual machines belonging to a single virtual network, so as to shorten the evacuation time of that virtual network and reduce its damage risk. Simulation results show that the proposed mechanism can achieve better performance than its counterparts in terms of virtual network evacuation completion ratio and average evacuation completion time in different observation periods.
Key words:Virtual Network (VN)/
Survivability/
Disaster risk/
Multi-virtual-machine migration/
Cooperative evacuation



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