DocumentCode
1926058
Title
ME2: Efficient Live Migration of Virtual Machine with Memory Exploration and Encoding
Author
Ma, Yanqing ; Wang, Hongbo ; Dong, Jiankang ; Li, Yangyang ; Cheng, Shiduan
Author_Institution
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2012
fDate
24-28 Sept. 2012
Firstpage
610
Lastpage
613
Abstract
Live migration of virtual machine plays an important role in data center, which can successfully migrate virtual machine from one physical machine to another with only slight influence on upper workload. It can be used to facilitate hardware maintenance, load balancing, fault-tolerance and power-saving, especially in cloud computing data centers. Although the pre-copy is the prevailing approach, it cannot distinguish which memory page is used, resulting in transferring large amounts of useless memory pages. This paper presents a novel approach Memory Exploration and Encoding (ME2), which first identifies useful pages and then utilizes Run Length Encode algorithm to quickly encode memory, to efficiently decrease the total transferred data, total migration time and downtime. Experiments demonstrate that ME2 can significantly decrease 50.5% of total transferred data, 48.2% of total time and 47.6% of downtime on average compared with Xen´s pre-copy algorithm.
Keywords
computer centres; encoding; fault tolerant computing; power aware computing; resource allocation; virtual machines; ME2; Memory Exploration and Encoding; Run Length Encode algorithm; Xen pre-copy algorithm; cloud computing data centers; fault-tolerance; hardware maintenance; live migration; load balancing; memory encoding; memory exploration; migrate virtual machine; power-saving; total migration time; total transferred data; Algorithm design and analysis; Bandwidth; Kernel; Linux; Memory management; Servers; Virtual machining; Data Center; Virtual Machine Migration; Virtualization; XEN;
fLanguage
English
Publisher
ieee
Conference_Titel
Cluster Computing (CLUSTER), 2012 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4673-2422-9
Type
conf
DOI
10.1109/CLUSTER.2012.52
Filename
6337834
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