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An Improved Pre-copy Transmission Algorithm in Mobile Cloud Computing

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Security, Privacy, and Anonymity in Computation, Communication, and Storage (SpaCCS 2017)

Abstract

With the rapidly development of mobile cloud computing, in order to provide a better experience for mobile users, the computing and storage functions of mobile terminals are migrated to the cloud. In the application research of virtual machine migration, the transmission rate of wireless channel will changed with the changes of network condition. This paper focuses on the pre-copy transmission algorithm in the process of virtual machine migration in mobile cloud computing. A pre-copy transmission algorithm based on optimal stopping theory (PTAOST) was proposed, the algorithm constructs an optimal stopping problem based on an optimal transmission rate in the process of virtual machine migration. And we solve the model by using the optimal stopping theory, and get an optimal transfer rate. So the total amount of data and migration time is reduced during the process of virtual machine migration. In simulations, the PTAOST is compared with the transmission algorithms offered by some literatures, and we obtained some comparable results about the total migration data and total migration time to different transmission algorithms. The simulative results show that the proposed algorithm has less the total amount of migration data and total time of migration and improves the performance of migration.

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References

  1. Asrani, P.: Mobile cloud computing. Int. J. Eng. Adv. Technol. 2(4), 606–609 (2013)

    Google Scholar 

  2. Amendola, D., Cordeschi, N., Baccarelli, E.: Bandwidth management VMs live migration in wireless fog computing for 5G Networks. In: 2016 5th IEEE International Conference on Cloud Networking, pp. 21–26 (2016)

    Google Scholar 

  3. Manaka, Y., Hasegawa, K., Koizumi, Y., et al.: On live migration and routing integration for delay-sensitive cloud services in wireless mesh networks. In: 2015 IEEE International Conference on Communications (ICC), pp. 454–459 (2015)

    Google Scholar 

  4. Wen-Li, Z., Bing, G., Yan, S., et al.: Computation offloading on intelligent mobile terminal. Chin. J. Comput. 39(5), 1021–1038 (2016)

    MathSciNet  Google Scholar 

  5. Yong, C., Jian, S., Cong-Cong, M., et al.: Mobile cloud computing research progress and trends. Chin. J. Comput. 40(2), 273–295 (2017)

    Google Scholar 

  6. Sun, G., Gu, J., Hu, J., et al.: Improvement of live memory migration mechanism for virtual machine based on pre-copy. Comput. Eng. 37(13), 36–39 (2011)

    Google Scholar 

  7. Mingsong, S., Wenwen, R.: Improvement on dynamic migration technology of virtual machine based on Xen. In: Proceedings of the 2013 8th International Forum on Strategic Technology, pp. 124–127. IEEE Press, Washington (2013)

    Google Scholar 

  8. Ting-Wei, C., Pu, Z., Zhong-Qing, Z.: Memory optimization algorithm of migration based on Xen virtual machine. Comput. Sci. 40(9), 64–66 (2013)

    Google Scholar 

  9. Haikun, L., Hai, J., Chengzhong, X., et al.: Performance and energy modeling for live migration of virtual machines. In: Proceedings Of the 20th International Symposium on High Performance Distributed Computing (HPDC 2011), San Jose, pp. 171–182 (2011)

    Google Scholar 

  10. Ying, P., Gao-Cai, W., Shu-Qiang, H., et al.: An energy consumption optimization strategy for data transmission based on optimal stopping theory in mobile networks. Chin. J. Comput. 39(6), 1162–1175 (2016)

    MathSciNet  Google Scholar 

  11. Anagnostopoulos, C., Hadjiefthymiades, S.: Delay-tolerant delivery of quality information in ad hoc networks. J. Parallel Distrib. Comput. 71(7), 974–987 (2011)

    Article  MATH  Google Scholar 

  12. Simon, M.K., Alouini, M.S.: Digital Communications Over Fading Channels. Wiley, Hoboken (2005)

    Google Scholar 

  13. Chen, H., Baras, J.S.: Distributed opportunistic scheduling for wireless Ad-Hoc networks with block-fading mode. IEEE J. Sel. Areas Commun. 31(11), 2324–2337 (2013)

    Article  Google Scholar 

Download references

Acknowledgments

This research is supported in part by the National Natural Science Foundation of China under Grant No. 61562006, in part by the Natural Science Foundation of Guangxi Proince under Grant No. 2016GXNSFBA380181 and in part by the Key Laboratory of Guangxi University.

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Correspondence to Xianfei Huang .

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Huang, X., Wang, N., Wang, G. (2017). An Improved Pre-copy Transmission Algorithm in Mobile Cloud Computing. In: Wang, G., Atiquzzaman, M., Yan, Z., Choo, KK. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2017. Lecture Notes in Computer Science(), vol 10656. Springer, Cham. https://doi.org/10.1007/978-3-319-72389-1_11

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  • DOI: https://doi.org/10.1007/978-3-319-72389-1_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72388-4

  • Online ISBN: 978-3-319-72389-1

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