Skip to main content
SpringerLink
Log in

Data Communication Speed and Network Fault Tolerant Enhancement over Software Defined Networking

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Software Defined Networking (SDN) is a new networking paradigm where control plane is decoupled from the forwarding plane. Nowadays, for the development of information technology large number of data traffic has been added in the global network each day. Due to proliferation of the Internet, e-commerce, video content and personalized cloud-based services higher channel bandwidth required to deliver larger data from one center to others. Lower data communication speed and fault tolerance are major factors for SDN which degrades network performance. This paper presents enhancement of data communication speed and fault tolerance over SDN using link aggregation control protocol (LACP). The result of this paper shows network performance has been improved by increasing approximately 31% data transmission speed over SDN using LACP. Moreover, this paper shows fault tolerance have been improved by LACP which prevents failure of any single component link from leading to breakdown the entire communications.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Nunes, B., Mendonca, M., Nguyen, X.-N., Obraczka, K., Turletti, T., et al. (2014). A survey of software-defined networking: Past, present, and future of programmable networks. IEEE Communications Surveys and Tutorials, 16(3), 1617–1634.

    Article  Google Scholar 

  2. Jarraya, Y., Madi, T., & Debbabi, M. (2014). A survey and a layered taxonomy of software defined networking. IEEE Communications Surveys and Tutorials, 16(4), 1955–1980.

    Article  Google Scholar 

  3. Kreutz, D., Ramos, F. M., Verissimo, P. E., Rothenberg, C. E., Azodolmolky, S., & Uhlig, S. (2015). Software-defined networking: A comprehensive survey. Proceedings of the IEEE, 103(1), 14–76.

    Article  Google Scholar 

  4. Kobayashi, M., Seetharaman, S., Parulkar, G., Appenzeller, G., Little, J., Van Reijendam, J., et al. (2014). Maturing of openflow and software-defined networking through deployments. Computer Networks, 61, 151–175.

    Article  Google Scholar 

  5. Leng, B., Huang, L., Wang, X., Xu, H., & Zhang, Y. (2015). A mechanism for reducing flow tables in software defined network. In IEEE international conference on communications (ICC) (pp. 5302–5307). IEEE.

  6. Yoon, C., Park, T., Lee, S., Kang, H., Shin, S., & Zhang, Z. (2015). Enabling security functions with SDN: A feasibility study. Computer Networks, 85, 19–35.

    Article  Google Scholar 

  7. Network world, gartner: 10 critical it trends for the next five years. Available: http://www.networkworld.com/news/2012/102212gartner-trends-263594.html. Accessed November 20, 2015.

  8. M.t. Review, 10 emerging technologies: Tr10: Software-defined networking. Available: http://www2.technologyreview.com/article/412194/tr10software-defined-networking. Accessed November 20, 2015.

  9. Enterprise networking, IDC: SDN a 2 billion market by 2016. Available: http://www.enterprisenetworkingplanet.com/datacenter/-idcsdn-a-2-billion-market-by-2016.html. Accessed October 25, 2016.

  10. Bitar, N., Gringeri, S., & Xia, T. J. (2013). Technologies and protocols for data center and cloud networking. IEEE Communications Magazine, 51(9), 24–31.

    Article  Google Scholar 

  11. Pongsakorn, U., Kohei, I., Putchong, U., Susumu, D., & Hirotake, A. (2014). Designing of SDN-assisted bandwidth and latency aware route allocation. Journal of Information Processing Society of Japan, 2014(2), 1–7.

    Google Scholar 

  12. Li, K., Guo, W., Zhang, W., Wen, Y., Li, C., & Hu, W. (2014). QoE-based bandwidth allocation with SDN in FTTH networks. In 2014 IEEE network operations and management symposium (NOMS) (pp. 1–8). IEEE.

  13. Pfeiffenberger, T., Du, J. L., Arruda, P. B., & Anzaloni, A. (2015). Reliable and flexible communications for power systems: fault-tolerant multicast with SDN/OpenFlow. In 7th international conference on new technologies, mobility and security (NTMS) (pp. 1–6). IEEE.

  14. Chen, J., Chen, J., Xu, F., Yin, M., & Zhang, W. (2015). When software defined networks meet fault tolerance: A survey. In International conference on algorithms and architectures for parallel processing (pp. 351–368). Springer International Publishing.

  15. Kim, D., & Gil, J. M. (2015). Reliable and fault-tolerant software-defined network operations scheme for remote 3D printing. Journal of Electronic Materials, 44(3), 804–814.

    Article  Google Scholar 

  16. Link Aggregation Control Protocol (LACP) (802.3ad) for Gigabit Interfaces. Available: http://www.cisco.com/c/en/us/td/docs/ios/12_2sb/feature/guide/gigeth.html. Accessed August 27, 2016.

  17. Link Aggregation According to IEEE Standard 802.3ad Online. Available: https://www.google.com.bd/url?sa=trct=jq=esrc=ssource=webcd=3cad=rjauact=8ved=0ahUKEwjEk5GQ7aJAhVXCI4KHR7pAjUQFgg3MAIurl=http. Accessed November 20, 2015.

  18. OMNeT++ Discrete Event Simulator. Available: https://omnetpp.org/. Accessed September 25, 2016.

  19. EstiNet 9.0 | Simulator. Available: http://www.estinet.com/ns/?page_id=21140. Accessed September 30, 2016.

  20. OFNet-Quick User Guide. Available: http://sdninsights.org/. Accessed October 19, 2016.

  21. MaxiNet: Distributed Network Emulation. Available: https://maxinet.github.io/. Accessed November 8, 2016.

  22. NS-3. Available: https://www.nsnam.org/. Accessed November 8, 2016.

  23. Mininet: An Instant Virtual Network on your Laptop (or other PC) - Mininet. Available: http://mininet.org/. Accessed June 15, 2016.

  24. Keti, F., & Askar, S. (2015). Emulation of software defined networks using mininet in different simulation environments. In 6th international conference on in intelligent systems, modeling and simulation (ISMS) (pp. 205–210). IEEE.

  25. McKeown, N., Anderson, T., Balakrishnan, H., Parulkar, G., Peterson, L., Rexford, J., et al. (2008). OpenFlow: Enabling innovation in campus networks. ACM SIGCOMM Computer Communication Review, 38(2), 69–74.

    Article  Google Scholar 

  26. osrg/ryu. github. Available: https://github.com/osrg/ryu. Accessed November 15, 2015.

  27. Bonding. Available: http://www.linuxfoundation.org/collaborate/workgroups/-networking/bonding. Accessed June 15, 2016.

Download references

Author information

Authors and Affiliations

  1. Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Santosh, Tangail, 1902, Bangladesh

    S. M. Shamim, Mohammad Badrul Alam Miah & Nazrul Islam

Authors
  1. S. M. Shamim
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mohammad Badrul Alam Miah
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nazrul Islam
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nazrul Islam.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shamim, S.M., Badrul Alam Miah, M. & Islam, N. Data Communication Speed and Network Fault Tolerant Enhancement over Software Defined Networking. Wireless Pers Commun 101, 1807–1816 (2018). https://doi.org/10.1007/s11277-018-5759-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-018-5759-5

Keywords

Search

Navigation