DocumentCode
2670319
Title
Virtual Machine Based Energy-Efficient Data Center Architecture for Cloud Computing: A Performance Perspective
Author
Ye, Kejiang ; Huang, Dawei ; Jiang, Xiaohong ; Chen, Huajun ; Wu, Shuang
Author_Institution
Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China
fYear
2010
fDate
18-20 Dec. 2010
Firstpage
171
Lastpage
178
Abstract
Virtual machine technology is widely applied to modern data center for cloud computing as a key technology to realize energy-efficient operation of servers. Server consolidation achieves energy efficiency by enabling multiple instantiations of operating systems (OSes) to run simultaneously on a single physical machine. While, live migration of virtual machine can transfer the virtual machine workload from one physical machine to another without interrupting service. However, both the two technologies have their own performance overheads. There is a tradeoff between the performance and energy efficiency. In this paper, we study the energy efficiency from the performance perspective. Firstly, we present a virtual machine based energy-efficient data center architecture for cloud computing. Then we investigate the potential performance overheads caused by server consolidation and live migration of virtual machine technology. Experimental results show that both the two technologies can effectively implement energy-saving goals with little performance overheads. Efficient consolidation and migration strategies can improve the energy efficiency.
Keywords
cloud computing; computer centres; energy conservation; operating systems (computers); software architecture; virtual machines; cloud computing; energy efficient data center architecture; live migration; operating system; physical machine; server consolidation; virtual machine; Benchmark testing; Cloud computing; Computer architecture; Degradation; Monitoring; Servers; Virtual machining; Energy Efficiency; Live Migration; Server Consolidation; Virtual Machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Green Computing and Communications (GreenCom), 2010 IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom)
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-9779-9
Electronic_ISBN
978-0-7695-4331-4
Type
conf
DOI
10.1109/GreenCom-CPSCom.2010.108
Filename
5724827
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