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Virtual Machine Migration—A Perspective Study

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Advances in Big Data and Cloud Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 645))

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Abstract

The technology of Cloud computing has been ruling the IT world for the past few decades. One of the most notable tools that helped in prolonging the reign of Cloud computing is virtualization. While virtualization continues to be a boon for the Cloud technology, it is not short of its own pitfalls. One such pitfall results from the migration of virtual machines. Though migration incurs an overhead on the system, an efficient system cannot neglect migrating the virtual machines. This work attempts to carry out a perspective study on virtual machine migration. The various migration techniques proposed in the literature have been classified based on the aspects of migration that they consider. A survey of the various metrics that characterize the performance of a migration technique is also done.

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References

  1. Huang, W., et al.: High performance virtual machine migration with RDMA over modern interconnects. In: 2007 IEEE International Conference on Cluster Computing. IEEE (2007)

    Google Scholar 

  2. Huang, D., et al.: Virt-LM: a benchmark for live migration of virtual machine. ACM SIGSOFT Software Engineering Notes, vol. 36, no. 5. ACM (2011)

    Google Scholar 

  3. Tafa, I., et al.: The Comparison of Virtual Machine Migration Performance between XEN-HVM, XEN-PV and Open-VZ. ICT Innovations 2011. Springer Berlin Heidelberg 2012, pp. 379–394 (2011)

    Google Scholar 

  4. Akoush, S., et al.: Predicting the performance of virtual machine migration. In: 2010 IEEE International Symposium on Modeling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS). IEEE (2010)

    Google Scholar 

  5. Mohan, A., Shine, S.: Survey on live VM migration techniques. Int. J. Adv. Res. Comput. Eng. Technol. (IJARCET) (2013)

    Google Scholar 

  6. Rakhi, K.R.: Live virtual machine migration techniques—a survey. Int. J. Eng. Res. Technol. (IJERT) 1(7) (2012)

    Google Scholar 

  7. Kapil, D., Emmanuel, S.P., Ramesh, C.J.: Live virtual machine migration techniques: survey and research challenges. In: 2013 IEEE 3rd International Conference on Advance Computing Conference (IACC) (2013)

    Google Scholar 

  8. Soni, G., Kalra, M.: Comparative study of live virtual machine migration techniques in cloud. Int. J. Comput. Appl. 84(14) (2013)

    Google Scholar 

  9. Hu, W., et al.: A quantitative study of virtual machine live migration. In: Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference. ACM (2013)

    Google Scholar 

  10. Adami, D., Giordani, S.: Virtual Machines Migration in a Cloud Data Center Scenario: An Experimental Analysis. IEEE ICC, pp. 2578–2582 (2013)

    Google Scholar 

  11. Hines, M.R., Gopalan, K.: Post-copy based live virtual machine migration using adaptive pre-paging and dynamic self-ballooning. In: Proceedings of the 2009 ACM SIGPLAN/SIGOPS International Conference on Virtual execution environments, New York, NY, USA, pp. 51–60 (2009)

    Google Scholar 

  12. Ashino, Y., Nakae, M.: VM migration method between different hypervisor implementations and its evaluation. In: 26th International Conference on Advanced Information Networking and Applications Workshops, pp. 1089–1094 (2012)

    Google Scholar 

  13. Celesti, A., Salici, A., Villari, M., Puliafito, A.: A remote attestation approach for a secure virtual machine migration in federated cloud environments. In: First International Symposium on Network Cloud Computing and Applications (2011)

    Google Scholar 

  14. Suen, C., Kirchberg, M., Lee, B.S., Suen, E.C., Lee, F.: Efficient migration of virtual machines between public and private cloud. In: Third IEEE International Conference on Cloud Computing Technology and Science, pp. 2–6 (2011)

    Google Scholar 

  15. Tsugawa, M., Riteau, P., Matsunaga, A., Fortes, J.: User-level virtual networking mechanisms to support virtual machine migration over multiple clouds. In: IEEE International Workshop on Management of Emerging Networks and Services, pp. 568–572 (2010)

    Google Scholar 

  16. Fang, S., Kanagavelu, R., Lee, B., Foh, C.H., Mi, K., Aung, M.: Power-efficient virtual machine placement and migration in data centers. In: IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing (2013)

    Google Scholar 

  17. Farahnakian, F., Liljeberg, P., Plosila, J.: LiRCUP: linear regression based CPU usage prediction algorithm for live migration of virtual machines in data centers. In: 39th Euromicro Conference Series on Software Engineering and Advanced Applications, pp. 357–364 (2013)

    Google Scholar 

  18. Kord, N., Haghighi, H.: An energy-efficient approach for virtual machine placement in cloud based data centers. In: 5th Conference on Information and Knowledge Technology (IKT), pp. 44–49 (2013)

    Google Scholar 

  19. Beloglazov, A., Buyya, R.: Energy efficient allocation of virtual machines in cloud data centers. In: 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, pp. 577–578 (2010)

    Google Scholar 

  20. Aikema, D., Mirtchovski, A., Kiddle, C., Simmonds, R.: Green cloud VM migration : power use analysis. IEEE (2012)

    Google Scholar 

  21. Gutierrez-Garcia, J.O., Ramirez-Nafarrate, A.: Policy-based agents for virtual machine migration in cloud data centers. In: IEEE International Conference on Services Computing (SCC) (2013)

    Google Scholar 

  22. Wang, X., et al.: A decentralized virtual machine migration approach of data centers for cloud computing. Math. Problems Eng. (2013)

    Google Scholar 

  23. Zhao, Y., Huang, W.: Adaptive distributed load balancing algorithm based on live migration of virtual machines in cloud. In: Fifth International Joint Conference on INC, IMS IDC, pp. 170–175 (2009)

    Google Scholar 

  24. Chen, H.: Network-aware coordination of virtual machine migrations in enterprise data centers and clouds. In: IFIP/IEEE International Symposium on Integrated Network Management (IM2013), vol. 1, pp. 888–891 (2013)

    Google Scholar 

  25. Stage, A., Setzer, T.: Network-aware migration control and scheduling of differentiated virtual machine workloads, pp. 9–14 (2009)

    Google Scholar 

  26. Shetty, J.: A Framework for Secure Live Migration of Virtual Machines, pp. 243–248 (2013)

    Google Scholar 

  27. Zhang, F., Chen, H.: Security-Preserving Live Migration of Virtual Machines in the Cloud. Springer Science+Business Media, LLC, pp. 562–587 (2013)

    Google Scholar 

  28. Duncan, A., Creese, S., Goldsmith, M., Quinton, J.S.: Cloud computing: insider attacks on virtual machines during migration. In: 2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications Cloud (2013)

    Google Scholar 

  29. Biedermann, S., Zittel, M., Katzenbeisser, S.: Improving security of virtual machines during live migrations. In: Eleventh Annual Conference on Privacy, Security and Trust (PST), pp. 352–357 (2013)

    Google Scholar 

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Correspondence to Christina Terese Joseph .

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Joseph, C.T., Martin, J.P., Chandrasekaran, K., Kandasamy, A. (2018). Virtual Machine Migration—A Perspective Study. In: Rajsingh, E., Veerasamy, J., Alavi, A., Peter, J. (eds) Advances in Big Data and Cloud Computing. Advances in Intelligent Systems and Computing, vol 645. Springer, Singapore. https://doi.org/10.1007/978-981-10-7200-0_7

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  • DOI: https://doi.org/10.1007/978-981-10-7200-0_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7199-7

  • Online ISBN: 978-981-10-7200-0

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