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Global Detection of Live Virtual Machine Migration Based on Cellular Neural Networks
- Source :
- The Scientific World Journal, Vol 2014 (2014)
- Publication Year :
- 2014
- Publisher :
- Wiley, 2014.
-
Abstract
- 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.
- Subjects :
- Technology
Medicine
Science
Subjects
Details
- Language :
- English
- ISSN :
- 23566140 and 1537744X
- Volume :
- 2014
- Database :
- Directory of Open Access Journals
- Journal :
- The Scientific World Journal
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.05592196738d43769c7f4970ade40d4c
- Document Type :
- article
- Full Text :
- https://doi.org/10.1155/2014/829614