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An Eco Algorithm for Dynamic Migration of Virtual Machines in a Server Cluster

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Advances in Network-Based Information Systems (NBiS 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 7))

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Abstract

Electric energy consumed in server clusters has to be reduced. In our previous studies, the dynamic virtual machine migration (DVMM) algorithm is proposed to reduce the total electric energy consumption of servers. In this paper, we improve the DVMM algorithm to furthermore reduce the electric energy consumption. If an application issues a process to a cluster, a most energy-efficient host server is first selected and the process is performed on a virtual machine on the server. Then, a virtual machine migrates from a host server to a more energy-efficient guest server. In the evaluation, we show not only the total electric energy consumption and active time of servers but also the average execution time of processes can be reduced in the DVMM algorithm compared with other algorithms.

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References

  1. An american company that provides cloud and virtualization software and services (vmware, inc.), https://en.wikipedia.org/wiki/VMware

  2. Hp dl-360p server, https://www.hpe.com/h20195/v2/GetPDF.aspx/c04123167.pdf

  3. A virtualization infrastructure for the linux kernel (kernel-based virtual machine), https://en.wikipedia.org/wiki/Kernel-basedVirtualMachine

  4. Duolikun, D., Aikebaier, A., Enokido, T., Takizawa, M.: Power consumption models for migrating processes in a server cluster. In: Proceedings of the 17th International Conference on Network-Based Information Systems (NBiS-2014), pp. 155–162 (2014)

    Google Scholar 

  5. Duolikun, D., Enokido, T., Takizawa, M.: Asynchronous migration of process replicas in a cluster. In: Proceedings of IEEE the 29th International Conference on Advanced Information Networking and Applications (AINA-2015), pp. 271–278 (2015)

    Google Scholar 

  6. Duolikun, D., Enokido, T., Takizawa, M.: Energy-efficient replication and migration of processes in a cluster. In: Proceedings of the 9th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2015), pp. 118–125 (2015)

    Google Scholar 

  7. Duolikun, D., Nakamura, S., Enokido, T., Takizawa, M.: An energy-efficient process migration approach to reducing electric energy consumption in a cluster of servers. Int. J. Commun. Netw. Distrib. Syst. 15(4), 400–420 (2015)

    Article  Google Scholar 

  8. Duolikun, D., Nakamura, S., Watanabe, R., Enokido, T., Takizawa, M.: Energy-aware migration of virtual machines in a cluster. In: Proceedings of the 11th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA-2016), pp. 21–32 (2016)

    Google Scholar 

  9. Duolikun, D., Watanabe, R., Enokido, T., Takizawa, M.: A model for migration of virtual machines to reduce electric energy consumption. In: Proceedings of the 10th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2016), pp. 160–166 (2016)

    Google Scholar 

  10. Duolikun, D., Watanabe, R., Enokido, T., Takizawa, M.: A model for migration of virtual machines to reduce electric energy consumption. In: Proceedings of the 19th International Conference on Network-based Information Systems (NBiS-2016), pp. 50–57 (2016)

    Google Scholar 

  11. Duolikun, D., Watanabe, R., Enokido, T., Takizawa, M.: An eco migration of virtual machines in a server cluster. In: Proceedings of IEEE the 31st International Conference on Advanced Information Networking and Applications (AINA-2017), pp. 1098–1105 (2017)

    Google Scholar 

  12. Duolikun, D., Watanabe, R., Enokido, T., Takizawa, M.: Energy-aware dynamic migration of virtual machines in a server cluster. In: Proceedings of the 11th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2017) (2017)

    Google Scholar 

  13. Elnozahy, E.N., Kistler, M., Rajamony, R.: Energy-efficient server clusters. In: Power-Aware Computer Systems, vol. 2325, pp. 179–197 (2003)

    Google Scholar 

  14. Enokido, T., Aikebaier, Deen, M., Takizawa, M.: Power consumption-based server selection algorithms for communication-based systems. In: Proceedings of the 13th International Conference on Network-based Information Systems (NBiS-2010), pp. 201–208 (2010)

    Google Scholar 

  15. Enokido, T., Aikebaier, A., Takizawa, M.: A model for reducing power consumption in peer-to-peer systems. IEEE Syst. J. 4(2), 221–229 (2010)

    Article  Google Scholar 

  16. Enokido, T., Aikebaier, A., Takizawa, M.: Process allocation algorithms for saving power consumption in peer-to-peer systems. IEEE Trans. Industr. Electron. 58(6), 2097–2105 (2011)

    Article  Google Scholar 

  17. Enokido, T., Aikebaier, A., Takizawa, M.: An extended simple power consumption model for selecting a server to perform computation type processes in digital ecosystems. IEEE Trans. Industr. Inf. 10(2), 1627–1636 (2014)

    Article  Google Scholar 

  18. Ghemawat, S., Gobioff, H., Leung, S.T.: The google file system. In: Proceedings of ACM the 19th Symposium on Operating System Principle (SOPI 2003), pp. 29–43 (2003)

    Google Scholar 

  19. Kataoka, H., Duolikun, D., Enokido, T., Takizawa, M.: Multi-level computation and power consumption models. In: Proceedings of the 18th International Conference on Network-Based Information Systems (NBiS-2015), pp. 40–47 (2015)

    Google Scholar 

  20. Kataoka, H., Duolikun, D., Enokido, T., Takizawa, M.: Power consumption and computation models of a server with a multi-core CPU and experiments. In: Proceedings of IEEE the 29th International Conference on Advanced Information Networking and Applications Workshops (WAINA-2015), pp. 217–223 (2015)

    Google Scholar 

  21. Kataoka, H., Duolikun, D., Enokido, T., Takizawa, M.: Energy-aware server selection algorithm in a scalable cluster. In: Proceedings of IEEE the 30th International Conference on Advanced Information Networking and Applications (AINA-2016), pp. 565–572 (2016)

    Google Scholar 

  22. Kataoka, H., Duolikun, D., Enokido, T., Takizawa, M.: Simple energy-aware algorithms for selecting a server in a scalable cluster. In: Proceedings of IEEE the 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA-2017), pp. 146–153 (2017)

    Google Scholar 

  23. McEwen, A., Cassimally, H.: Designing the Internet of Things. Wiley (2013)

    Google Scholar 

  24. Negus, C., Boronczyk, T.: CentOS Bible, 1st edn. Wiley Publishing (2009)

    Google Scholar 

  25. Sawada, A., Kataoka, H., Duolikun, D., Enokido, T., Takizawa, M.: Energy-aware clusters of servers for storage and computation applications. In: Proceedings of IEEE the 30th International Conference on Advanced Information Networking and Applications (AINA-2016), pp. 400–407 (2016)

    Google Scholar 

  26. Sawada, A., Kataoka, H., Duolikun, D., Enokido, T., Takizawa, M.: Energy-aware server selection algorithms for storage and computation processes. In: Proceedings of the 11th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA-2016), pp. 45–56 (2016)

    Google Scholar 

  27. Watanabe, R., Duolikun, D., Enokido, T., Takizawa, M.: An eco model of process migration with virtual machines in clusters. In: Proceedings of the 18th International Conference on Network-Based Information Systems (NBiS-2016), pp. 292–297 (2016)

    Google Scholar 

  28. Watanabe, R., Duolikun, D., Enokido, T., Takizawa, M.: Energy-aware virtual machine migration models in a scalable cluster of servers. In: Proceedings of IEEE the 31st International Conference on Advanced Information Networking and Applications (AINA-2017), pp. 85–92 (2017)

    Google Scholar 

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Acknowledgements

This work was supported by JSPS KAKENHI grant number 15H0295.

Author information

Authors and Affiliations

  1. Hosei University, Tokyo, Japan

    Dilawaer Duolikun, Ryo Watanabe & Makoto Takizawa

  2. Rissho University, Tokyo, Japan

    Tomoya Enokido

Authors
  1. Dilawaer Duolikun
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  2. Ryo Watanabe
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  3. Tomoya Enokido
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  4. Makoto Takizawa
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Corresponding author

Correspondence to Dilawaer Duolikun .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Rissho University, Tokyo, Japan

    Tomoya Enokido

  3. Hosei University, Tokyo, Japan

    Makoto Takizawa

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Duolikun, D., Watanabe, R., Enokido, T., Takizawa, M. (2018). An Eco Algorithm for Dynamic Migration of Virtual Machines in a Server Cluster. In: Barolli, L., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-65521-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-65521-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65520-8

  • Online ISBN: 978-3-319-65521-5

  • eBook Packages: EngineeringEngineering (R0)

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