Global Detection of Live Virtual Machine Migration Based on Cellular Neural Networks
Joint Authors
Xie, Kang
Zhang, Ling
Jing, Maohua
Xin, Yang
Li, Zhongxian
Yang, Yixian
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-06
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
In order to meet the demands of operation monitoring of large scale, autoscaling, and heterogeneous virtual resources in the existing cloud computing, a new method of live virtual machine (VM) migration detection algorithm based on the cellular neural networks (CNNs), is presented.
Through analyzing the detection process, the parameter relationship of CNN is mapped as an optimization problem, in which improved particle swarm optimization algorithm based on bubble sort is used to solve the problem.
Experimental results demonstrate that the proposed method can display the VM migration processing intuitively.
Compared with the best fit heuristic algorithm, this approach reduces the processing time, and emerging evidence has indicated that this new approach is affordable to parallelism and analog very large scale integration (VLSI) implementation allowing the VM migration detection to be performed better.
American Psychological Association (APA)
Xie, Kang& Yang, Yixian& Zhang, Ling& Jing, Maohua& Xin, Yang& Li, Zhongxian. 2014. Global Detection of Live Virtual Machine Migration Based on Cellular Neural Networks. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1051237
Modern Language Association (MLA)
Xie, Kang…[et al.]. Global Detection of Live Virtual Machine Migration Based on Cellular Neural Networks. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1051237
American Medical Association (AMA)
Xie, Kang& Yang, Yixian& Zhang, Ling& Jing, Maohua& Xin, Yang& Li, Zhongxian. Global Detection of Live Virtual Machine Migration Based on Cellular Neural Networks. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1051237
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051237