Energy Efficient Multiresource Allocation of Virtual Machine Based on PSO in Cloud Data Center
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Presently, massive energy consumption in cloud data center tends to be an escalating threat to the environment.
To reduce energy consumption in cloud data center, an energy efficient virtual machine allocation algorithm is proposed in this paper based on a proposed energy efficient multiresource allocation model and the particle swarm optimization (PSO) method.
In this algorithm, the fitness function of PSO is defined as the total Euclidean distance to determine the optimal point between resource utilization and energy consumption.
This algorithm can avoid falling into local optima which is common in traditional heuristic algorithms.
Compared to traditional heuristic algorithms MBFD and MBFH, our algorithm shows significantly energy savings in cloud data center and also makes the utilization of system resources reasonable at the same time.
American Psychological Association (APA)
Xiong, An-ping& Xu, Chun-xiang. 2014. Energy Efficient Multiresource Allocation of Virtual Machine Based on PSO in Cloud Data Center. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-500410
Modern Language Association (MLA)
Xiong, An-ping& Xu, Chun-xiang. Energy Efficient Multiresource Allocation of Virtual Machine Based on PSO in Cloud Data Center. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-500410
American Medical Association (AMA)
Xiong, An-ping& Xu, Chun-xiang. Energy Efficient Multiresource Allocation of Virtual Machine Based on PSO in Cloud Data Center. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-500410
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-500410