DocumentCode :
2977423
Title :
Dynamic VM Consolidation for Energy-Aware and SLA Violation Reduction in Cloud Computing
Author :
Zhibo Cao ; Shoubin Dong
Author_Institution :
Commun. & Comput. Network Lab. of Guangdong, South China Univ. of Technol., Guangzhou, China
fYear :
2012
fDate :
14-16 Dec. 2012
Firstpage :
363
Lastpage :
369
Abstract :
With the large-scale deployment of virtualized data centers, energy consumption and SLA (Service Level Agreement) violation have already become the urgent issue to be solved. And it is essential and important to design energy-aware allocation policy for energy-aware and SLA violation reduction. In this paper, we propose a novel allocation and selection policy for the dynamic virtual machine (VM) consolidation in virtualized data centers to reduce energy consumption and SLA violation. Firstly, we use the mean and standard deviation of CPU utilization for VM to determine the hosts overloaded or not, secondly we use the positive maximum correlation coefficient to select VMs from those overloading hosts for migration. Although the proposed allocation and selection policies performs a little worse than the previous ones in energy consumption, experiments show that it performs greatly better than the previous ones on the whole.
Keywords :
cloud computing; computer centres; contracts; energy consumption; power aware computing; virtual machines; CPU utilization; SLA violation reduction; cloud computing; dynamic VM consolidation; dynamic virtual machine; energy consumption; energy-aware allocation policy; energy-aware violation reduction; service level agreement; virtualized data centers; Cloud computing; Energy consumption; Equations; Mathematical model; Measurement; Resource management; Virtual environments; SLA violation; VM; cloud computing; energy consumption; energy-aware;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2012 13th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-4879-1
Type :
conf
DOI :
10.1109/PDCAT.2012.68
Filename :
6589306
Link To Document :
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