Skip to main content
SpringerLink
Log in

The Improved Transmission Energy Consumption Laxity Based (ITECLB) Algorithm for Virtual Machine Environments

  • Conference paper
  • First Online:
Advances in Network-Based Information Systems (NBiS 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 22))

Included in the following conference series:

  • 964 Accesses

Abstract

Various types of distributed applications are realized in server cluster systems equipped with virtual machines like cloud computing systems. On the other hand, a server cluster system consumes a large amount of electric energy since a server cluster system is composed of large number of servers and each server consumes the large electric energy to perform application processes on multiple virtual machines. In this paper, the improved transmission energy consumption laxity based (ITECLB) algorithm is proposed to allocate communication processes to virtual machines in a server cluster so that the total electric energy consumption of a server cluster and the average transmission time of each communication process can be reduced. We evaluate the ITECLB algorithm in terms of the total electric energy consumption of a server cluster and the average transmission time of each process compared with the transmission energy consumption laxity based (TECLB) algorithm.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Natural Resources Defense Council (NRDS): Data center efficiency assessment - scaling up energy efficiency across the data center lndustry: Evaluating key drivers and barriers (2014). http://www.nrdc.org/energy/files/data-center-efficiency-assessment-IP.pdf

  2. Natural Resources Defense Council (NRDS): Is cloud computing always greener? finding the most energy and carbon efficient information tech nology solutions for small- and medium-sized organizations (2012). http://www.nrdc.org/energy/files/cloud-computing-efficiency-IB.pdf

  3. Cuka, M., Elmazi, D., Bylykbashi, K., Spaho, E., Ikeda, M., and Barolli, L.: A fuzzy-based system for selection of IoT devices in opportunistic networks considering IoT device storage, waiting time and security parameters. In: Proceedings of the 6th International Conference on Emerging Internet, Data and Web Technologies (EIDWT-2018), pp. 94–105 (2018)

    Google Scholar 

  4. Kataoka, H., Nakamura, S., Duolikun, D., Enokido, T., Takizawa, M.: Multi-level power consumption model and energy-aware server selection algorithm. Int. J. Grid Util. Comput. (IJGUC) 8(3), 201–210 (2017)

    Article  Google Scholar 

  5. Duolikun, D., Enokido, T., Takizawa, M.: An energy-aware algorithm to migrate virtual machines in a server cluster. Int. J. Grid Util. Comput. (IJGUC) 7(1), 32–42 (2017)

    Google Scholar 

  6. KVM: Main Page - KVM (Kernel Based Virtual Machine) (2015). http://www.linux-kvm.org/page/Mainx_Page

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

    Article  Google Scholar 

  8. 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 

  9. 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. Ind. Inf. 10(2), 1627–1636 (2014)

    Article  Google Scholar 

  10. Enokido, T., Takizawa, M.: Integrated power consumption model for distributed systems. IEEE Trans. Ind. Electron. 60(2), 824–836 (2013)

    Article  Google Scholar 

  11. Intel: Intel xeon processor 5600 series: the next generation of intelligent server processors (2010). http://www.intel.com/content/www/us/en/processors/xeon/xeon-5600-brief.html

  12. B. S. Ang: An evaluation of an attempt at offloading TCP/IP protocol processing onto an i960rn-based NIC, (technical report 2001-8) (2001). http://www.hpl.hp.com/techreports/2001/HPL-2001-8.html

  13. Enokido, T., Takizawa, M.: Power consumption model of a server to perform communication type application processes on virtual machines. In: Proceedings of the 10th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA-2015), pp. 275–282 (2015)

    Google Scholar 

  14. Enokido, T., Takizawa, M.: An energy-efficient load balancing algorithm for virtual machine environments to perform communication type application processes. In: Proceedings of the 30th IEEE International Conference on Advanced Information Networking and Applications (AINA-2016), pp. 392–399 (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  2. Department of Advanced Sciences, Faculty of Science and Engineering, HoseiUniversity, Tokyo, Japan

    Dilawaer Duolikun & Makoto Takizawa

Authors
  1. Tomoya Enokido
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dilawaer Duolikun
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Makoto Takizawa
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tomoya Enokido .

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. Faculty of Management, Comenius University in Bratislava, Bratislava, Slovakia

    Natalia Kryvinska

  3. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  4. Department of Advanced Sciences, Hosei University, Tokyo, Japan

    Makoto Takizawa

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Enokido, T., Duolikun, D., Takizawa, M. (2019). The Improved Transmission Energy Consumption Laxity Based (ITECLB) Algorithm for Virtual Machine Environments. In: Barolli, L., Kryvinska, N., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-98530-5_14

Download citation

Publish with us

Policies and ethics

Search

Navigation