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
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;
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
DOI :
10.1109/MASS.2014.74
