Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Optimizing SDN Performance for Small Networks by Enhancing Open Flow

Author : Rakshith K Salian 1 Dr.C.T.Manimegalai 2

Date of Publication :7th April 2016

Abstract: There is a potential increase in growth of the communication network in terms of the size of the network as well as the complexity in the traditional network system infrastructure and the protocol stack cannot fulfil all the contemporary networking demands by providing adequate solution. Hence easier methodology has to be introduced so that new abstractions can be created in an affable manner resulting in ease of network management. The key trend in the cloud architecture is the core infrastructure that facilitates the storage, networking and the computing resources required is becoming software defined. As far as the virtualization and the network resource management is concerned SDN plays a prominent role in an on demand manner. SDN is the main backbone of IoT which offers centralizing controlling, abstracting the network devices, and providing flexibility, dynamic and automated reconfiguration of the network. There are many research challenges the remain on how to furnish the demanded quality of service, optimal load balancing, extent the scalability, throughput and deliver the stipulated security for the network. Hence this research generally realizes the delay that is caused by the SDN controller and provides the optimal solution for this issue. Hence this research focus on improving the processing speed and thereby the throughput of the OpenFlow by having an optimal solution for the SDN controller, hence enhancing performance penalties. .

Reference :

    1. Xia, W., Wen, Y., Member, S., Heng Foh, C., Niyato, D., & Xie, H. (2015). A Survey on Software-Defined Networking. Ieee Communication Surveys & Tutorials, 17(1), 27–51. doi:10.1109/COMST.2014.2330903
    2. Open Networking Foundation. (2012). Software-Defined Networking: The New Norm for Networks [white paper]. ONF White Paper, 1–12.
    3. White, O. N. F., & January, P. (2015). OpenFlow Conformance Test Program. Retrieved from https://www.opennetworking.org/images/stories/downlo ads/working-groups/openflow-conformance-testprogram-wp.pdf
    4. Andersson, J., Andersson, J., & Termander, E. (n.d.). Performance Management in Software Defned Performance Networking Management in Software Defined Networking, (November 2014).
    5. Shukla, V. S. (2015). SDN Transport Architecture and Challenges. Optical Fiber Communication Conference, 02030, W4J.1. doi:10.1364/OFC.2015.W4J.1
    6. Hata, H. (2013). A study of requirements for SDN switch platform. ISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems, 79–84. doi:10.1109/ISPACS.2013.6704525
    7. K. Co and S. Korea, “An Architecture for SDN Flowmap Inter-operation with Legacy Protocols,” pp. 135–137, 2014
    8. S. Koizumi and M. Fujiwaka, “SDN + cloud integrated control with statistical analysis and discrete event simulation,” pp. 289–294, 2015.
    9. Ieee, C. E. Rothenberg, M. Ieee, S. Azodolmolky, S. M. Ieee, S. Uhlig, and M. Ieee, “Software-Defined Networking : A Comprehensive Survey,” Proc. IEEE, vol. 103, no. 1, pp. 14 – 76, 2015.
    10. Feamster, N., Rexford, J., & Zegura, E. (2014). The Road to SDN: An Intellectual History of Programmable Networks. ACM Sigcomm Computer Communication, 44(2), 87–98. doi:10.1145/2602204.2602219
    11. T. Wood, K. K. Ramakrishnan, J. Hwang, G. Liu, and W. Zhang, “Toward a Software-Based Network: Integrating Software Defined Networking and Network Function Virtualization,” no. June, pp. 36–41, 2015.
    12. Y. Jimenez, C. Cervello-Pastor, and A. Garcia, “Dynamic Resource Discovery Protocol for Software Defined Networks,” IEEE Commun. Lett., vol. 19, no. 5, pp. 743–746, 2015
    13. Y. Zhang, Y. Tang, D. Tang, and W. Wang, “QOF : QoS Framework Based On OpenFlow,” pp. 380–387, 2015.
    14. R. Casellas, R. Muñoz, R. Martínez, R. Vilalta, L. Liu, T. Tsuritani, I. Morita, V. López, O. G. De Dios, and J. P. Fernández-palacios, “SDN Orchestration of OpenFlow and GMPLS Flexi-Grid Networks With a Stateful Hierarchical PCE [ Invited ],” vol. 7, no. 1, pp. 106–117, 2015.
    15. Gelberger, A., Yemini, N., & Giladi, R. (2013). Performance Analysis of Software-Defined Networking (SDN). 2013 IEEE 21st International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems, 389–393. doi:10.1109/MASCOTS.2013.58
    16. Tootoonchian, S. Gorbunov, Y. Ganjali, M. Casado, and R. Sherwood, “On controller performance in softwaredefined networks,” in Proc. USENIX Hot-ICE, 2012
    17. Yuta Watanabe, Yoshitaka Nakamura, Osamu Takahashi ,”A method to improve network performance of Proxy Mobile IPv6” presented at 2015 Eighth International Conference on Mobile Computing and Ubiquitous Networking (ICMU).
    18. Sallahi, A., & St-hilaire, M. (2015). Optimal Model for the Controller Placement Problem in Software Defined Networks. IEEE Communications Letters, 19(1), 30–33. doi:10.1109/LCOMM.2014.2371014

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