Skip to main content

Framework for Intelligent Software Defined Networking for Wired and Wireless Networks

  • Conference paper
  • First Online:
Intelligent Systems Design and Applications (ISDA 2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 940))

  • 1406 Accesses

Abstract

In recent times, use of modern technology (e.g., mobile devices, cloud computing, big data) has made a conventional change in the Internet traffic pattern. The rise in data specially in this Big Data era, has reduced the network capacity and network scalability. To handle this traffic, complex network devices has to be implemented. The network administrator has to frequently configure the individual device when there is a small change in the traffic pattern. Since there is no centralized control mechanism in the traditional network, handling the traffic load is time consuming and reconfiguring the network devices (switches/routers) may cause variations and errors.

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

Access this chapter

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. Xia, W., Wen, Y., Foh, C.H., Niyato, D., Xie, H.: A survey on software-defined networking. IEEE Commun. Surv. Tutor. 17(1), 27–51 (2015)

    Article  Google Scholar 

  2. Xie, J., Guo, D., Hu, Z., Qu, T., Lv, P.: Control plane of software defined networks: a survey. Comput. Commun. 67, 1–10 (2015)

    Article  Google Scholar 

  3. Cervello-Pastor, C., Garcia, A.J.: On the controller placement for designing a distributed SDN control layer. In: Networking Conference, IFIP 2014, pp. 1–9 (2014)

    Google Scholar 

  4. Ali-Ahmad, H., Cicconetti, C., De la Oliva, A., Mancuso,V., Sama, M.R., Seite, P., Shanmugalingam, S.: An SDN-based network architecture for extremely dense wireless networks. In: 2013 IEEE SDN for Future Networks and Services (SDN4FNS), pp. 1–7. IEEE (2013)

    Google Scholar 

  5. Yamei, F., Qing, L., Qi, H.: Research and comparative analysis of performance test on SDN controller. In: 2016 IEEE International Conference on Computer Communication and the Internet (ICCCI), pp. 207–210 (2016)

    Google Scholar 

  6. Sune, M., Alvarez, V., Jungel, T., Toseef, U., Pentikousis, K.: An OpenFlow implementation for network processors. In: Defined Networks, p. 2 (2014)

    Google Scholar 

  7. Suh, D., Jang, S., Han, S., Pack, S., Kim, T., Kwak, J.: On performance of OpenDaylight clustering. In: 2016 IEEE NetSoft Conference and Workshops (NetSoft), pp. 407–410 (2016)

    Google Scholar 

  8. Kobo, H.I., Abu-Mahfouz, A.M., Hancke, G.P.: A survey on software-defined wireless sensor networks: challenges and design requirements. IEEE Access 5, 1872–1899 (2017)

    Article  Google Scholar 

  9. Shamseddine, M., Elhajj, I., Chehab, A., Kayssi, A.: VNCS: virtual network connectivity as a service a software-defined networking approach. In: 2016 IEEE International Conference on Cloud Engineering Workshop (IC2EW), pp. 30–35 (2016)

    Google Scholar 

  10. Nanda, S., Zafari, F., DeCusatis, C., Wedaa, E., Yang, B.: Predicting network attack patterns in SDN using machine learning approach. In: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), pp. 167–172 (2016)

    Google Scholar 

  11. Rivera, S., Fei, Z., Griffioen, J.: RAPTOR: a REST API translaTOR for OpenFlow controllers. In: 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 328–333 (2016)

    Google Scholar 

  12. Li, L., Chou, W., Zhou, W., Luo, M.: Design patterns and extensibility of REST API for networking applications. IEEE Trans. Netw. Serv. Manag. 13, 154–167 (2016). ISSN 1932-4537

    Article  Google Scholar 

  13. Ortiz, J., Londoño, J., Novillo, F.: Evaluation of performance and scalability of Mininet in scenarios with large data centers. In: Ecuador Technical Chapters Meeting (ETCM), pp. 1–6. IEEE (2016)

    Google Scholar 

  14. Erel, M., Teoman, E., Özçevik, Y., Seçinti, G., Canberk, B.: Scalability analysis and flow admission control in Mininet-based SDN environment. In: 2015 IEEE Conference on Network Function Virtualization and Software Defined Network (NFV-SDN), pp. 18–19 (2015)

    Google Scholar 

  15. Siryani, J., Tanju, B., Eveleigh, T.J.: A machine learning decision-support system improves the internet of things smart meter operations. IEEE Internet Things J. 4, 1056–1066 (2017)

    Article  Google Scholar 

  16. Duan, Q., Ansari, N., Toy, M.: Software-defined network virtualization: an architectural framework for integrating SDN and NFV for service provisioning in future networks. IEEE Netw. 30, 10–16 (2016)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Rakesh Kumar Ambhati or G. Selva Kumar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ambhati, R.K., Selva Kumar, G., Shashikant Chaudhari, Y., Sarimela, V. (2020). Framework for Intelligent Software Defined Networking for Wired and Wireless Networks. In: Abraham, A., Cherukuri, A.K., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 940. Springer, Cham. https://doi.org/10.1007/978-3-030-16657-1_96

Download citation

Publish with us

Policies and ethics