Advertisement

Cluster Computing

, Volume 22, Supplement 5, pp 12737–12747 | Cite as

Efficient performance upsurge in live migration with downturn in the migration time and downtime

  • A. Vishnu KumarEmail author
  • V. Krishnakumar
  • A. Nirmal Kumar
Article
  • 128 Downloads

Abstract

Live migration is transferring the running virtual machine or application between different physical machines from one system to another. It is useful for resource management of data center. Pre-filter-copy algorithm is used to improve the bandwidth resource consumption and to reduce the migration time and down time. The main goal of pre-filter-copy algorithm is to identify the dirty pages. The dirty pages are frequently modified pages. A novel data filter is designed to filter the dirtied pages. There are three parameters which are migration time, downtime, and memory space. Virtual machine can be migrated from under loaded host to overloaded host so that load can be balanced. In downtime the hardware failures and software updation are tested. The memory space can be balanced by shutting down the systems which are at rest so that space can be reduced. The memory space is increased from 512 Mb to 1 Gb. The memory of the frame is increased to transfer more number of pages and also to increase the speed of the transaction. By reducing the migration time and downtime the performance can be increased.

Keywords

Migration Virtualization Transmission Filter Performance Migration time Downtime 

References

  1. 1.
    Kassahun, S., Demessie, A., Ilie, D.: A PMIPv6 approach to maintain network connectivity during VM Live migration over the internet. In: Proceedings of 2014 IEEE 3rd International Conference on Cloud Networking (CloudNet) (2014)Google Scholar
  2. 2.
    Clark, C. et al.: Live migration of virtual machines. In: Proceedings NSDI, pp. 273–286 (2005)Google Scholar
  3. 3.
    Ruan, Y., Cao, Z., Cui, Z.: Pre-filter-copy: efficient and self-adaptive live migration of virtual machines. IEEE Syst. J. 10(4), 1459–1469 (2016)CrossRefGoogle Scholar
  4. 4.
    Liu, Z., Qu, W., Liu, W., Li, K.: Xen live migration with slowdown scheduling algorithm. In: Proceedings of PDCAT, pp. 215–221 (2010)Google Scholar
  5. 5.
    Ma, Y., Wang, H., Dong, J., Li, Y., Cheng, S.: Efficient live migration of virtual machine with memory exploration and encoding. In: Proceedings of 2012 IEEE International Conference on Cluster Computing (CLUSTER), pp. 610–613 (2012)Google Scholar
  6. 6.
    Sulaiman, N.A.B. Masuda, H.: Evaluation of secure live migration using Ipsec implementation. In: Proceedings of 2014 IIAI 3rd International Conference Advanced Applied Informatics (2014)Google Scholar
  7. 7.
    Medina, V., Garcia, J.M.: A survey of migration mechanisms of virtual machines. Comput. Surv. 46(3), 30 (2014)MathSciNetCrossRefGoogle Scholar
  8. 8.
    Jhawar, R., Piuri, V., Santambrogio, M.: Fault tolerance management in cloud computing: a system-level perspective. IEEE Syst. J. 7(2), 288–297 (2013)CrossRefGoogle Scholar
  9. 9.
    Jin, H., Deng, L., Wu, S., Shi, X., Pan, X.: Live virtual machine migration with adaptive memory compression. In: Proceedings IEEE International Conference on Cluster Computing and Workshops, 2009. CLUSTER’09, pp. 1–10 (2009)Google Scholar
  10. 10.
    Zheng, J., Eugene Ng, T.S., Sripanidkulchal, K., Liu, Z.: Comma: coordinating the migration of multi-tier applications. In: Proceedings of VEE, pp. 153–164 (2014)Google Scholar
  11. 11.
    Sakr, M.F., Levitan, S.P., Charull, D.M , Horne, B.G., Giles, C.L.: Predicting multiprocessor memory access patterns with learning models. In: Proceedings of ICML, pp, 305–312 (1997)Google Scholar
  12. 12.
    Kashyap, S., Dhillon, J.S., Purini, S.: Rlc-a reliable approach to fast and efficient live migration of virtual machines in the clouds. In: Proceedings of IEEE 7th International Conference on Cloud Computing. IEEE, 978-1-4799-5063-8/14 $31.00.  https://doi.org/10.1109/Cloud.2014.56 (2014)
  13. 13.
    Zhang, W., Lam, K.T., Wang, C.L.: Adaptive live VM migration over a wan: modeling and implementation. In: Proceedings of 2014 IEEE 7th International Conference on Cloud Computing. IEEE, 978-1-4799-5063-8/14 $31.00.  https://doi.org/10.1109/Cloud.2014.57 (2014)
  14. 14.
    De Gooijer, J.G., Hyndman, R.J.: 25 years of time series forecasting. Int. J. Forecast. 22(3), 443–473 (2006)CrossRefGoogle Scholar
  15. 15.
    Karthikeyan, A., Senthil Kumar, P.: Randomly prioritized buffer-less routing architecture for 3D network on chip. Computers Electrical Engineering 59, pp. 39–50. (2007) ISSN 0045-7906,  https://doi.org/10.1016/j.compeleceng.2017.03.006
  16. 16.
    Karthikeyan, A., Kumar, P.S.: GALS implementation of randomly prioritized buffer-less routing architecture for 3D NoC. Clust. Comput. 13, 1–11 (2017).  https://doi.org/10.1007/s10586-017-0979-0 CrossRefGoogle Scholar
  17. 17.
    Ruan, Y., Cao, Z., Cui, Z.: Pre-filter-copy: efficient and self-adaptive live migration of virtual machines. IEEE Syst. J. 10, 1459–1469 (2016)CrossRefGoogle Scholar
  18. 18.
    Akiyama, S., Hirofuchi, T., Takano, R., Honiden, S.: Fast live migration with small io performance penalty by exploiting san in parallel. In: Proceedings of IEEE 7th International Conference on Cloud Computing. IEEE, 978-1-4799-5063-8/14 $31.00.  https://doi.org/10.1109/Cloud.2014.16 (2014)
  19. 19.
    Kumar, S., Schwan, K.: Netchannel: a VMM-level mechanism for continuous, transparent device access during VM migration. In: Proceedings of VEE, pp. 31–40 (2008)Google Scholar
  20. 20.
    Shetty, J., Anala, M.R., Shoba, G.: A survey on techniques of secure live migration of virtual machine. Int. J. Comput. Appl. 39(12), 34–39 (2012)Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • A. Vishnu Kumar
    • 1
    Email author
  • V. Krishnakumar
    • 2
  • A. Nirmal Kumar
    • 1
  1. 1.Department of Information TechnologyVeltech High Tech Dr.Rangarajan Dr.Sakunthala Engineering CollegeChennaiIndia
  2. 2.Department of Electrical and Electronics EngineeringSt. Joseph’s College of EngineeringChennaiIndia

Personalised recommendations