Green SDN: Trends of Energy Conservation in Software Defined Network

Authors

  • A Jeyasekar
  • Siddharth Nanda
  • Annie Uthra

DOI:

https://doi.org/10.14419/ijet.v7i3.12.15853

Published:

2018-07-20

Keywords:

Dynamic resource allocation, Energy conservation, Green SDN, Power management, Software defined network, Traffic engineering.

Abstract

Because of the exponential growth of the data in the Internet, storing and computing the data become a challenging issue. Therefore the data center networks are used to provide the infrastructure for storing and computing the data. Most of the network devices present in the data center network is comparatively idle for most of the time and resulting in a waste of energy. To overcome it, the Software Defined Network is proposed which allows the administrators to manage the network devices using a centralized controller and enables programmable network devices. It optimizes the utilization of network resources efficiently and results in significant amount of energy saving. There are several approaches proposed for optimizing the energy in the Software Defined Network which takes a network towards green energy and lower carbon print. This paper presents a survey on energy conservation techniques used in the software defined networks which makes the networks more capable and productive. We also provide a brief comparison of possible energy conservation techniques and guidelines for future research.

 


 

References

[1] Abrol, A. and Jha, R.K., “Power optimization in 5G networks: A step towards GrEEn communicationâ€, IEEE Access, 4, pp.1355-1374, 2016.

[2] B. Heller, R. Sherwood, N. McKeown, "The controller placement problem", In Proceedings of the 1st Workshop on Hot Topics in SDNs, pp. 7-12, ACM, Aug. 2012.

[3] Bennett, M., IEEE 802.3 Energy Efficient Ethernet Study Group. Server Bandwidth Utilization plots, Orlando, FL, pp.1-13, 2007.

[4] Braun, W. and Menth, M., Software-defined networking using OpenFlow: Protocols, applications and architectural design choices. Future Internet, 6(2), pp.302-336, 2014.

[5] Campbell, A.T., Kounavis, M.E., Villela, D.A., Vicente, J.B., De Meer, H.G., Miki, K. and Kalaichelvan, K.S., “Spawning networksâ€, IEEE network, 13(4), pp.16-29, 1999.

[6] Christensen, K., Nordman, B., & Brown, R, “Power management in networked devices.â€, Computer, 37(8), 91-93, 2004.

[7] Fehske, A., Fettweis, G., Malmodin, J. and Biczok, G., “The global footprint of mobile communications: The ecological and economic perspectiveâ€, IEEE Communications Magazine, 49(8), 2011.

[8] Fernandez-Fernandez, A., Cervello-Pastor, C. and Ochoa-Aday, L., “Achieving energy efficiency: an energy-aware approach in SDNâ€, In Global Communications Conference (GLOBECOM), 2016 IEEE (pp. 1-7). IEEE, December, 2016.

[9] Hongyu, P., Weidong, W., Chaowei, W., Gang, C. and Yinghai, Z., “A SDN-based energy saving strategy in wireless access networksâ€, China Communications, 12(8), pp.132-145, 2015.

[10] Li, D., Shang, Y. and Chen, C., “Software defined green data center network with exclusive routingâ€, In INFOCOM, 2014 Proceedings IEEE (pp. 1743-1751). IEEE, April, 2014.

[11] Nedevschi, S., Popa, L., Iannaccone, G., Ratnasamy, S. and Wetherall, D., “Reducing Network Energy Consumption via Sleeping and Rate-Adaptationâ€, In NsDI (Vol. 8, pp. 323-336), April, 2008.

[12] Ruiz-Rivera, A., Chin, K.W. and Soh, S., “GreCo: An energy aware controller association algorithm for software defined networksâ€, IEEE Communications Letters, 19(4), pp.541-544, 2015.

[13] Shafiee, S. and Topal, E., “When will fossil fuel reserves be diminished?â€, Energy policy, 37(1), pp.181-189, 2009.

[14] Staessens, D., Sharma, S., Colle, D., Pickavet, M. and Demeester, P., “Software defined networking: Meeting carrier grade requirements. In Local & Metropolitan Area Networks(LANMAN), 2011 18th IEEE Workshop on (pp. 1-6). IEEE, October, 2011.

[15] Sun, S., Gong, L., Rong, B. and Lu, K., “An intelligent SDN framework for 5G heterogeneous networksâ€, IEEE Communications Magazine, 53(11), pp.142-147, 2015.

[16] Sun, S., Gong, L., Rong, B., & Lu, K. (2015). An intelligent SDN framework for 5G heterogeneous networks. IEEE Communications Magazine, 53(11), 142-147.

[17] Tu, R., Wang, X., & Yang, Y., “Energy-saving model for SDN data centersâ€, The Journal of Supercomputing, 70(3), 1477-1495, 2014.

[18] Vu, T.H., Luc, V.C., Quan, N.T., Thanh, N.H. and Nam, P.N., “Energy saving for OpenFlow switch on the NetFPGA platform based on queue engineeringâ€, SpringerPlus, 4(1), p.64, 2015.

[19] Wang, K., Yang, K., Chen, H.H. and Zhang, L., “Computation diversity in emerging networking paradigmsâ€, IEEE Wireless Communications, 24(1), pp.88-94, 2017.

[20] Wei, Y., Zhang, X., Xie, L. and Leng, S., “Energy-aware traffic engineering in hybrid SDN/IP backbone networksâ€, Journal of Communications and Networks, 18(4), pp.559-566, 2016.

[21] Xu, G., Yang, J. and Dai, B., “Challenges and opportunities on network resource management in DCN with SDNâ€, In Big Data (Big Data), 2015 IEEE International Conference on (pp. 1785-1790). IEEE, October, 2015.

[22] Xie, K., Huang, X., Hao, S., Ma, M., Zhang, P., & Hu, D, “$text {E}^{3} $ MC: Improving Energy Efficiency via Elastic Multi-Controller SDN in Data Center Networksâ€, IEEE Access, 4, 6780-6791, 2016.

[23] Xu, G., Yang, J., & Dai, B, “Challenges and opportunities on network resource management in DCN with SDNâ€, In Big Data (Big Data), 2015 IEEE International Conference on (pp. 1785-1790). IEEE, October, 2015.

[24] Xie, K., Huang, X., Hao, S., Ma, M., Zhang, P., & Hu, D, “$text {E}^{3} $ MC: Improving Energy Efficiency via Elastic Multi-Controller SDN in Data Center Networksâ€, IEEE Access, 4, 6780-6791, 2016.

View Full Article:

How to Cite

Jeyasekar, A., Nanda, S., & Uthra, A. (2018). Green SDN: Trends of Energy Conservation in Software Defined Network. International Journal of Engineering & Technology, 7(3.12), 9–13. https://doi.org/10.14419/ijet.v7i3.12.15853

License

Authors who publish with this journal agree to the following terms:

    1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution Licensethat allows others to share the work with an acknowledgement of the work''s authorship and initial publication in this journal.

    1. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal''s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

  1. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Received 2018-07-19
Accepted 2018-07-19
Published 2018-07-20