Skip to main content
SpringerLink
Log in

Energy-Conserving Transmission Network Model Based on Service-Awareness

  • Conference paper
  • First Online:
Data Science (ICPCSEE 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 728))

  • 1654 Accesses

Abstract

In this paper, we propose a service-aware network model which is based on the traffic pattern in data center. First of all, we analyze the traffic model in data center networks. Then we use this model to make the net topology integration and classification through the software define network. In order to achieve the purpose of energy consumption optimization, we divide the hosts into same VLAN according to their interaction frequency to reduce the cross VLAN transmission consumption. Simulation results show that we get a great energy improvement in the fat tree net topology.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Guo, C., Wu, H., Tan, K., et al.: Dcell: a scalable and fault-tolerant network structure for data centers. ACM SIGCOMM Comput. Commun. Rev. 38(4), 75–86 (2008)

    Article  Google Scholar 

  2. Chabarek, J., Sommers, J., Barford, P., et al.: Power awareness in network design and routing. In: INFOCOM, pp. 457–465 (2008)

    Google Scholar 

  3. Bianzino, A., Chaudet, C., Rossi, D., et al.: A survey of green networking research. IEEE Commun. Surv. Tutor. 14(1), 3–20 (2012)

    Article  Google Scholar 

  4. Fisher, W., Suchara, M., Rexford, J.: Greening backbone networks: reducing energy consumption by shutting off cables in bundled links. In: ACM SIGCOMM Workshop on Green Networking, pp. 29–34 (2010)

    Google Scholar 

  5. Even, S., Itai, A., Shamir, A.: On the complexity of time table and multi-commodity flow problems. In: Foundations of Computer Science Annual Symposium on IEEE, pp. 184–193 (1975)

    Google Scholar 

  6. Vasic, N., Kostic, D.: Energy-aware traffic engineering. In: Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking, pp. 169–178. ACM (2010)

    Google Scholar 

  7. Zhang, M., Yi, C., Liu, B., et al.: Green TE: power-aware traffic engineering. In: Network Protocols (ICNP), pp. 21–30. IEEE (2010)

    Google Scholar 

  8. Cianfrani, A., Eramo, V., Listanti, M., et al.: An OSPF enhancement for energy saving in IP networks. In: INFOCOM Workshops, pp. 325–330 (2011)

    Google Scholar 

  9. Cianfrani, A., Eramo, V., Listanti, M., et al.: An energy saving routing algorithm for a green OSPF protocol. In: INFOCOM Workshops, pp. 1–5 (2010)

    Google Scholar 

  10. Cuomo, F., Abbagnale, A., Cianfrani, A., et al.: Keeping the connectivity and saving the energy in the internet. In: INFOCOM Workshops, pp. 319–324 (2011)

    Google Scholar 

  11. Amaldi, E., Capone, A., Gianoli, L.G., et al.: Energy management in IP traffic engineering with shortest path routing. In: World of Wireless, Mobile and Multimedia Networks, pp. 1–6 (2011)

    Google Scholar 

  12. Lee, S., Tseng, P., Chen, A.: Link weight assignment and loop-free routing table update for link state routing protocols in energy-aware internet. Future Gen. Comput. Syst. 28(2), 437–445 (2012)

    Article  Google Scholar 

  13. Cuomo, F., Cianfrani, A., Polverini, M., et al.: Network pruning for energy saving in the internet. Comput. Netw. 56(10), 2355–2367 (2012)

    Article  Google Scholar 

  14. Xu, M., Shang, Y., Li, D., et al.: Greening data center networks with throughput guaranteed power-aware routing. Comput. Netw. 57(15), 2880–2899 (2013)

    Article  Google Scholar 

  15. Shi, D., Ruixuan, L., Xiaolin, L.: Energy efficient routing algorithm based on software defined data center network. J. Comput. Res. Dev. 52(4), 806–812 (2015)

    Google Scholar 

  16. Hongyu, P., Gang, C., Yinghai, Z., et al.: A new data center memory energy consumption optimization stragegy in SDN. J. Beijing Univ. Posts Telecommun. 38(2), 78–82 (2015)

    Google Scholar 

  17. Yoon, M., Kamal, A.: Power minimization in fat-tree SDN datacenter operation. In: Global Communications Conference, pp. 1–7 (2015)

    Google Scholar 

  18. Rofoee, B., Zervas, G., Yan, Y., et al.: Griffin: programmable optical datacenter with SDN enabled function planning and virtualisation. J. Lightwave Technol. 33(24), 5164–5177 (2015)

    Article  Google Scholar 

  19. Mahadevan, P., Sharma, P., Banerjee, S., et al.: A power benchmarking framework for network devices. In: International Conference on Research in Networking, pp. 795–808 (2009)

    Google Scholar 

Download references

Acknowledgments

This work was supported by the Shenzhen science and technology projects under Grant No. JCYJ20140603152449639 and the science and technology planning project of Guangdong province under Grant No. 2015B010131007.

Author information

Authors and Affiliations

  1. Shenzhen Institute, Wuhan University, Shenzhen, 518057, China

    Huyin Zhang

  2. Computer School, Wuhan University, Wuhan, 430072, China

    Huyin Zhang, Chenghao Li, Tianying Zhou, Long Qian & Jingcai Zhou

  3. School of Computer Science and Technology, Hubei University of Science and Technology, Xianning, 437100, China

    Tianying Zhou

Authors
  1. Huyin Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chenghao Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Tianying Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Long Qian
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jingcai Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tianying Zhou .

Editor information

Editors and Affiliations

  1. Central South University, Changsha, China

    Beiji Zou

  2. Harbin Engineering University, Harbin, China

    Qilong Han

  3. Harbin University of Science and Technology, Harbin, China

    Guanglu Sun

  4. Northeast Forestry University, Harbin, China

    Weipeng Jing

  5. Huaihua University, Huaihua, Hunan, China

    Xiaoning Peng

  6. Sciences of Country Tripod Institute of Data Science, Harbin, China

    Zeguang Lu

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Nature Singapore Pte Ltd.

About this paper

Cite this paper

Zhang, H., Li, C., Zhou, T., Qian, L., Zhou, J. (2017). Energy-Conserving Transmission Network Model Based on Service-Awareness. In: Zou, B., Han, Q., Sun, G., Jing, W., Peng, X., Lu, Z. (eds) Data Science. ICPCSEE 2017. Communications in Computer and Information Science, vol 728. Springer, Singapore. https://doi.org/10.1007/978-981-10-6388-6_15

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-6388-6_15

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6387-9

  • Online ISBN: 978-981-10-6388-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation