Cost Evaluation of Virtual Machine Live Migration Through Bandwidth Analysis

  • V. R. AnuEmail author
  • Elizabeth Sherly
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 750)


Live migration permits to transfer constantly running Virtual Machine from source host to destination host. This is an unavoidable process in data centre in various scenarios such as load balancing, server maintenance and power management. Now, live migration performance optimization is an active area of research since performance degradation and energy overhead caused by live migration cannot be neglected in modern data centres; particularly if critical business goals and plans are to be satisfied. This work analyses the effect of proper bandwidth allocation during cost-aware live migration. Here, we design a cost function model based on network bandwidth between live migration process and service based on queuing theory. From experimental analysis, we infer that link bandwidth is a critical parameter in determining VM live migration cost.


Bandwidth Cloud computing Downtime Live migration Virtualization 


  1. 1.
    Akoush, S., Sohan, R., Rice, A., Moore, A.W., Hopper, A.: Predicting the performance of virtual machine migration. In: IEEE International Symposium on Modelling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), pp. 33–46 (2010)Google Scholar
  2. 2.
    Strunk, A.: Costs of virtual machine live migration: a survey. In: Services (SERVICES), 2012 IEEE Eighth World Congress on, pp. 323–329 (2012)Google Scholar
  3. 3.
    Li, Z., Wu, G.: Optimizing VM live migration strategy based on migration time cost modeling. In: Proceedings of the 2016 Symposium on Architectures for Networking and Communications Systems, pp. 99–109. ACM (2016)Google Scholar
  4. 4.
    Zhang, J., Ren, F., Lin, C.: Delay guaranteed live migration of virtual machines. In: INFOCOM, 2014 Proceedings IEEE, pp. 574–582 (2014)Google Scholar
  5. 5.
    Zhang, J., Ren, F., Shu, R.: Huang, T.: Liu, Y.: Guaranteeing delay of live virtual machine migration by determining and provisioning appropriate bandwidth. IEEE Trans. Comput. 65, 9, 2910–2917 (2016)Google Scholar
  6. 6.
    Xu, X., Yao, K., Wang, S., Zhou, X.: A VM migration and service network bandwidth analysis model in IaaS. In: 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet), pp. 123–125 (2012)Google Scholar
  7. 7.
    Zhu, C., Han, B., Zhao, Y., Liu, B.: A queueing-theory-based bandwidth allocation algorithm for live virtual machine migration. In: 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity), pp. 1065–1072 (2015)Google Scholar
  8. 8.
    Breitgand, D., Kutiel, G., Raz, D.: Cost-aware live migration of services in the cloud. In: SYSTOR (2010)Google Scholar
  9. 9.
    Gahlawat, Monica, Sharma, Priyanka: Reducing the cost of virtual machine migration in federated cloud environment using component based vm. J. Inf. Syst. Commun. 3(1), 284–288 (2012)Google Scholar
  10. 10.
    Strunk, A.: A lightweight model for estimating energy cost of live migration of virtual machines. In: 2013 IEEE Sixth International Conference on Cloud Computing (CLOUD), pp. 510–517. IEEE (2013)Google Scholar
  11. 11.
    Hu, Z., Wang, H., Zhang, H.: Bandwidth allocation algorithm of heterogeneous network. Change 14, 1–16 (2014)Google Scholar
  12. 12.
    Maziku, H., Shetty, S.: Towards a network aware VM migration: evaluating the cost of VM migration in cloud data centers. In: 2014 IEEE 3rd International Conference on Cloud Networking (CloudNet), pp. 114–119 (2014)Google Scholar
  13. 13.
    Anu, V.R., Sherly, E.: Live migration of delta compressed virtual machines using MPTCP. Int. J. Eng. Res. Comput. Sci. Eng. 4(9) (2017)Google Scholar
  14. 14.
    Anu, V.R., Sherly, E.: IALM: interference aware live migration strategy for virtual machines in cloud data centers. In: Communications (ICDMAI 2018) 2nd International Conference of Data Management, Analytics and Innovation. Springer Conference (2018)Google Scholar
  15. 15.
    Sharma, S., Chawla, M.: A technical review for efficient virtual machine migration. In: 2013 International Conference on Cloud & Ubiquitous Computing & Emerging Technologies (CUBE), pp. 20–25. IEEE (2013)Google Scholar
  16. 16.
    Wu, Q., Ishikawa, F., Zhu, Q., Xia, Y.: Energy and migration cost-aware dynamic virtual machine consolidation in heterogeneous cloud datacenters. IEEE Trans. Serv. Comput. (2016)Google Scholar
  17. 17.
    Rybina, K., Dargie, W., Strunk, A., Schill, A.: Investigation into the energy cost of live migration of virtual machines. In: Sustainable Internet and ICT for Sustainability (SustainIT), pp. 1–8. IEEE (2013)Google Scholar
  18. 18.
    Rahman, S., Gupta, A., Tomatore, M., Mukherjee, B.: Dynamic workload migration over optical backbone network to minimize data center electricity cost. In: 2017 IEEE International Conference on Communications (ICC), pp. 1–5. IEEE (2017)Google Scholar
  19. 19.
    Wang, R., Xue, M., Chen, K., Li, Z., Dong, T., Sun, Y.: BMA: bandwidth allocation management for distributed systems under cloud gaming. In: 2015 IEEE International Conference on Communication Software and Networks (ICCSN), pp. 414–418. IEEE (2015)Google Scholar
  20. 20.
    Akiyama, S., Hirofuchi, T., Honiden, S.: Evaluating impact of live migration on data center energy saving. In: IEEE 6th International Conference on Cloud Computing Technology and Science (CloudCom), pp. 759–762 (2014)Google Scholar
  21. 21.
    Ayoub, O., Musumeci, F., Tornatore, M., Pattavina, A.: Efficient routing and bandwidth assignment for inter-data-center live virtual-machine migrations. J. Opt. Commun. Networking 9(3), 12–21 (2017)CrossRefGoogle Scholar
  22. 22.
    Mann, V., Gupta, A., Dutta, P., Vishnoi, A., Bhattacharya, P., Poddar, R., Iyer, A.: Remedy: network-aware steady state VM management for data centers. In: Networking, pp. 190–204. Springer (2012)Google Scholar
  23. 23.
    Strunk, A., Dargie, W.: Does live migration of virtual machines cost energy? In: 2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA), pp. 514–521 (2013)Google Scholar
  24. 24.
    Voorsluys, W., Broberg, J., Venugopal, S., Buyya, R.: Cost of virtual machine live migration in clouds: a performance evaluation. In: CloudCom, vol. 9, pp. 254–265 (2009)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Mahatma Gandhi UniversityKottayamIndia
  2. 2.IIITM-KTrivandrumIndia

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