Research and Implementation of Load Balancing Technology for Cloud Computing

被引：2
|
作者：
Sun Hong [1 ]
Chen Shiping [1 ]
Wang Weifeng [1 ]
Xu Liping [1 ]
机构：
[1] Univ Shanghai Sci & Technol, Shanghai, Peoples R China
来源：
2017 INTERNATIONAL CONFERENCE ON COMPUTER NETWORK, ELECTRONIC AND AUTOMATION (ICCNEA) | 2017年
基金：
中国国家自然科学基金;
关键词：
Cloud Computing; Visualization; Modularization; Live Migration; Load Balance;
D O I：
10.1109/ICCNEA.2017.15
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article selects load balancing system technology to analyze, combines the live migration technology of virtual machine, and studys the frame of virtual machine live migration as well as the mathematical model applied to concrete process of the migration. The article presents that the process of combining the specific strategies of load balance to the frame of live migration, that the simulation experiment and conclusion to this total process. The study takes Eucalyptus as experimental platform, and decides initial to take Xen as experimental virtual machine. The article's innovations are to optimize the design of virtual machine live migration in cloud environment, and to combine the specific strategies of load balance to the process of live migration. After designing and analyzing the specific strategies of load balance modularization, according to rationalizations that the technology of live migration can apply to the specific strategies of load balance, the study sets the measure index to evaluate load balance, and solute consequently the problem of load in cloud environment, which is realized in the process of live migration. It turned out that algorithm fusion raised has obvious performance advantages.
引用
收藏
页码：12 / 19
页数：8
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