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Live Migration for Virtual Machine Based on Kalman Prediction of Dirty Pages
被引：1
作者：
Sun, Zhihong
[1
]
Hu, Xianlang
[1
]
机构：
[1] Jiangsu Automat Res Inst, Lianyungang, Peoples R China
来源：
MECHANICAL COMPONENTS AND CONTROL ENGINEERING III
|
2014年
/
668-669卷
关键词：
virtual machine;
live migration;
dirty pages;
Kalman prediction;
D O I：
10.4028/www.scientific.net/AMM.668-669.1363
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
The live migration of virtual machine (VM) is an important technology of cloud computing. Down-time, total migration time and network traffic data are the key measures of performance. Through the analysis of dynamic memory state of a virtual machine migration process, we propose a dirty pages algorithm prediction based on pre-copy to avoid dirty pages re transmission. Experimental results show that, compared with the Xen virtual machine live migration method adopted, our method can at least reduce 15.1% of the total amount of data and 12.2% of the total migration time.
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收藏
页码：1363 / 1367
页数：5
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