Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2014 (2014), Article ID 829614, 8 pages
http://dx.doi.org/10.1155/2014/829614
Research Article

Global Detection of Live Virtual Machine Migration Based on Cellular Neural Networks

1College of Information Science and Engineering, Shandong University, Jinan 250100, China
2Information Security Center, Beijing University of Posts and Telecommunications, Beijing 100876, China
3Northeastern University & College of Information Science and Engineering, Shenyang 110819, China
4National Cybernet Security Ltd., Beijing 100088, China

Received 12 February 2014; Accepted 31 March 2014; Published 6 May 2014

Academic Editor: Antonio Puliafito

Copyright © 2014 Kang Xie et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. K. J. Ye, H. Zh. Wu, X. H. Jiang, and Q. M. He, “Power management of virtualized cloud computing platform,” Chinese Journal of Computers, vol. 6, pp. 1262–1285, 2012. View at Google Scholar
  2. S. Sangeeta and C. Meenu, “A technical review for efficient virtual machine migration,” in Proceedings of the International Conference on Cloud and Ubiquitous Computing and Emerging Technologies, pp. 20–25, 2013.
  3. L. O. Chua and L. Yang, “Cellular neural networks: applications,” IEEE Transactions on Circuits and Systems, vol. 35, no. 10, pp. 1273–1290, 1988. View at Publisher · View at Google Scholar · View at Scopus
  4. I. Rodero, J. Jaramillo, A. Quiroz, M. Parashar, and F. Guim, “Towards energy-aware autonomic provisioning for virtualized environments,” in Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing (HPDC '10), pp. 320–323, June 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. S. Parmaksizoǧlu, E. Günay, and M. Alçi, “Determining clonning templates of CNN via MOGA: edge detection,” in Proceedings of the IEEE 19th Signal Processing and Communications Applications Conference (SIU '11), pp. 758–761, Antalya, Turkey, April 2011. View at Publisher · View at Google Scholar · View at Scopus
  6. L. Li, G. Ma, and X. Du, “New method of horizon recognition in seismic data,” IEEE Geoscience and Remote Sensing Letters, vol. 9, no. 6, pp. 1066–1068, 2012. View at Publisher · View at Google Scholar · View at Scopus
  7. L. Wan, X. Liu, T.-T. Wong, and C.-S. Leung, “Evolving mazes from images,” IEEE Transactions on Visualization and Computer Graphics, vol. 16, no. 2, pp. 287–297, 2010. View at Publisher · View at Google Scholar · View at Scopus
  8. M. Mishra, A. Das, P. Kulkarni, and A. Sahoo, “Dynamic resource management using virtual machine migrations,” IEEE Communications Magazine, vol. 50, no. 9, pp. 34–40, 2012. View at Google Scholar
  9. A. Beloglazov and R. Buyya, “Managing overloaded hosts for dynamic consolidation of virtual machines in cloud data centers under quality of service constraints,” Journal of IEEE Transactions on Parallel and Distributed Systems, vol. 24, no. 7, pp. 1366–1379, 2013. View at Google Scholar
  10. J. J. Liu, G. L. Chen, and X. Ch. Hu, “Virtual machine migration scheduling strategy based on load characteristic,” Computer Engineering, vol. 37, no. 17, pp. 276–278, 2011. View at Google Scholar
  11. W. Liu and T. Fan, “Live migration of virtual machine based on recovering system and CPU scheduling,” in Proceedings of the 6th IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC '11), pp. 303–307, Chongqing, China, August 2011. View at Publisher · View at Google Scholar · View at Scopus
  12. A. Celesti, F. Tusa, M. Villari, and A. Puliafito, “Improving virtual machine migration in federated cloud environments,” in Proceedings of the 2nd International Conference on Evolving Internet (Internet '10), pp. 61–67, Valencia, Spain, September 2010. View at Publisher · View at Google Scholar · View at Scopus
  13. Ch. Chen, H. X. Zhang, L. Zh. Yu, Y. Fan, and L. N. Liu, “A new live virtual machine migration strategy,” in Proceedings of the International Symposium on Information Technology in Medicine and Education (ITME '12), pp. 173–176, 2012.
  14. C.-H. Hsu, S.-C. Chen, C.-C. Lee et al., “Energy-aware task consolidation technique for cloud computing,” in Proceedings of the 3rd IEEE International Conference on Cloud Computing Technology and Science (CloudCom '11), pp. 115–121, Athens, Greece, December 2011. View at Publisher · View at Google Scholar · View at Scopus
  15. Y. Luo, B. Zhang, X. Wang, Z. Wang, Y. Sun, and H. Chen, “Live and incremental whole-system migration of virtual machines using block-bitmap,” in Proceedings of the IEEE International Conference on Cluster Computing (CCGRID '08), pp. 99–106, Tsukuba, Japan, October 2008. View at Publisher · View at Google Scholar · View at Scopus
  16. H. Zh. Li, W. Luo, X. J. Lu, and J. W. Yin, “A live migration strategy for virtual machine based on performance predicting,” in Proceedings of the International Conference on Computer Science and Service System, pp. 72–76, 2012.
  17. L. Zhang, Y. B. Bai, and X. Wei, “A tracing approach to process migration for virtual machine based on multicore platform,” in Proceedings of the 10th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP '10), vol. 6081 of Lecture Notes in Computer Science, pp. 391–403, 2010.
  18. H. K. Liu, H. Jin, X. F. Liao, L. T. Hu, and Ch. Yu, “Live migration of virtual machine based on full system trace and replay,” in Proceedings of the 18th ACM International Symposium on High Performance Distributed Computing (HPDC ’09), pp. 101–110, June 2009.
  19. R. H. Shang, L. Ch. Jiao, X. Ch. Hu, and J. J. Ma, “Modified immune clonal constrained multi-objective optimization algorithm,” Journal of Software, vol. 23, no. 7, pp. 1773–1786, 2012. View at Google Scholar
  20. X. L. Li, G. Ch. Guo, X. Y. Li, and H. M. Hua, “A constraint optimization based mapping method for virtual network,” in Proceedings of the International Conference on Graphic and Image Processing (ICGIP '12), vol. 49, pp. 1601–1610, 2012.
  21. K. K. Wang, Q. Lv, H. Q. Zhao, and W. Zhang, “Hybrid algorithm for solving complex constrained optimization problems based on PSO and ABC,” Systems Engineering and Electronics, vol. 34, no. 6, pp. 1193–1199, 2012. View at Google Scholar
  22. T. Mofolo and R. Suchithra, “Heuristic based resource allocation using virtual machine migration: a cloud computing perspective,” International Refereed Journal of Engineering and Science, vol. 2, no. 5, pp. 40–45, 2013. View at Google Scholar