DocumentCode
263587
Title
Improving Virtual Machine Migration via Deduplication
Author
Roemer, Jake ; Groman, Mark ; Zhengyu Yang ; Yufeng Wang ; Tan, Chiu C. ; Ningfang Mi
Author_Institution
Dept. of Comput. & Inf. Sci., Temple Univ., Philadelphia, PA, USA
fYear
2014
fDate
28-30 Oct. 2014
Firstpage
702
Lastpage
707
Abstract
For this study the techniques of virtual machine migration are understood and the affects deduplication has on migration are evaluated. The benefits of using deduplication and compression on virtual machines show in the metric of space saved during migrating. Deduplication is computationally expensive so we evaluate how to group virtual machines with similar elements in order to improve migration. From this study, grouping virtual machines based on similar elements improves the overhead from deduplication and compression but estimates which virtual machines are best grouped together.
Keywords
cloud computing; virtual machines; deduplication; virtual machine compression; virtual machine migration; Benchmark testing; Decision making; Image coding; Measurement; Operating systems; Servers; Virtual machining; Application Degra- dation; Clustering; Deduplication; Storage Space; Total Migration Time; Virtual Machine (VM) migration;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile Ad Hoc and Sensor Systems (MASS), 2014 IEEE 11th International Conference on
Conference_Location
Philadelphia, PA
Print_ISBN
978-1-4799-6035-4
Type
conf
DOI
10.1109/MASS.2014.74
Filename
7035768
Link To Document