DocumentCode
1605752
Title
Green cloud VM migration: Power use analysis
Author
Aikema, David ; Mirtchovski, Andrey ; Kiddle, Cameron ; Simmonds, Rob
Author_Institution
Dept. of Comput. Sci., Univ. of Calgary, Calgary, AB, Canada
fYear
2012
Firstpage
1
Lastpage
6
Abstract
To migrate virtual machines requires not only time but also energy. If pursuing a follow-the-renewables computing paradigm, migrating virtual machines between data centres on the basis of clean energy availability, understanding not only the time requirements of migration but also its energy consumption is key. Existing research has paid little attention to the energy required to perform virtual machine migrations however. In this paper we present the results of an experimental study focused on the power and energy consumption of various workloads throughout the migration process. We also discuss challenges encountered during the study restricting our ability to migrate certain types of workloads. Based on our analysis we draw conclusions about the types of workloads suitable for migration and the manner in which each can be most effectively migrated.
Keywords
computer centres; power consumption; virtual machines; clean energy availability; data centres; energy consumption; follow-the-renewables computing paradigm; green cloud VM migration; power consumption; power use analysis; time requirements; virtual machine migrations; Benchmark testing; Energy consumption; Green products; Monitoring; Power demand; Random access memory; Virtual machining;
fLanguage
English
Publisher
ieee
Conference_Titel
Green Computing Conference (IGCC), 2012 International
Conference_Location
San Jose, CA
Print_ISBN
978-1-4673-2155-6
Electronic_ISBN
978-1-4673-2153-2
Type
conf
DOI
10.1109/IGCC.2012.6322249
Filename
6322249
Link To Document