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Framework for Intelligent Software Defined Networking for Wired and Wireless Networks

  • Rakesh Kumar AmbhatiEmail author
  • G. Selva KumarEmail author
  • Y. Shashikant Chaudhari
  • Valluri Sarimela
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 940)

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.

References

  1. 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)CrossRefGoogle Scholar
  2. 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)CrossRefGoogle Scholar
  3. 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. 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. 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. 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. 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. 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)CrossRefGoogle Scholar
  9. 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. 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. 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. 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 1932-4537CrossRefGoogle Scholar
  13. 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. 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. 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)CrossRefGoogle Scholar
  16. 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)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Central Research LaboratoryBharat Electronics LimitedBangaloreIndia

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