Performance Metrics of Virtual Machine Live Migration

Author(s):  
Michael Galloway ◽  
Gabriel Loewen ◽  
Susan Vrbsky
Author(s):  
Artan Mazrekaj ◽  
Shkelzen Nuza ◽  
Mimoza Zatriqi ◽  
Vlera Alimehaj

In a cloud computing the live migration of virtual machines shows a process of moving a running virtual machine from source physical machine to the destination, considering the CPU, memory, network, and storage states. Various performance metrics are tackled such as, downtime, total migration time, performance degradation, and amount of migrated data, which are affected when a virtual machine is migrated. This paper presents an overview and understanding of virtual machine live migration techniques, of the different works in literature that consider this issue, which might impact the work of professionals and researchers to further explore the challenges and provide optimal solutions.


2019 ◽  
Vol 38 (2) ◽  
pp. 291-320
Author(s):  
Petrônio Bezerra ◽  
Marcela Santos ◽  
Edlane Alves ◽  
Anderson Costa ◽  
Fellype Albuquerque ◽  
...  

2013 ◽  
Vol 66 (3) ◽  
pp. 1629-1655 ◽  
Author(s):  
Jinkyu Jeong ◽  
Sung-Hun Kim ◽  
Hwanju Kim ◽  
Joonwon Lee ◽  
Euiseong Seo

2014 ◽  
Vol 668-669 ◽  
pp. 1363-1367 ◽  
Author(s):  
Zhi Hong Sun ◽  
Xian Lang Hu

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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