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Home»Articles»Load Balancing in Software Defined Networking: A Review

JournalCover

Asian Journal of Computer Science and Technology (AJCST)

Editor Dr. K. Ganesh
Print ISSN : 2249-0701
Frequency : Quarterly

Load Balancing in Software Defined Networking: A Review

Author : Prabhjot Kaur, Jasmeen Kaur Chahal and Abhinav Bhandari
Volume 7 No.2 July-September 2018 pp 1-5

Abstract

Software Defined Networking is an adaptable way of networking, which disconnects data forwarding plane and control-plane of system equipment’s and also solves issues in existing network infrastructure. More specifically, the control-plane of software defined network decides the advancing way of network flow with Centralized Control Manner (CCM). SDN (Software Defined Networking) is a strategy for making, planning and overseeing systems which intend to change this present unfortunate circumstance. It has been used in dissimilar areas, like a campus networks and data center systems. In this survey paper, we’ve reviewed the concept of (SDNs) Software Defined Networks, its architecture and applications. In the survey, it has been found that SDN load balancing has become more smart and efficient and reduces the statistic collection overhead and maintain better QoS (Quality of Service) data rates. In addition, we reviewed the direct routing based algorithms of Load Balancer and compare with Round Robin Strategy. Furthermore, we’ve reviewed and compared the existing work to get better idea about the concept of Load balancing.

Keywords

Software Defined Networking, CCM (Central Control Manner), Data center systems and QoS (Quality of Services)

Full Text:

References

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[2] S.Sezer, S. Scott-Hayward, P.K. Chouhan, B. Fraser, D. Lake and N. Rao, “Are we ready for SDN? Implementation challenges for software-defined networks,” IEEE Communications Magazine, Vol. 51, No. 7, pp. 36-43, 2013.
[3] J. Xie, D. Guo, Z. Hu, T. Qu, andP. Lv. “Control plane of software defined networks: A survey”, Computer communications, Vol. 67, pp. 1-10, 2015.
[4] D. Kreutz, F.M. Ramos, P.E. Verissimo, … andS. Uhlig, “Software-defined networking: A comprehensive survey,” Proceedings of the IEEE, Vol. 103, No. 1, pp. 14-76. 2015
[5] G. Zehua, M. Sub, X. Yang, L.W. ZheminDuan, and H. Jonathan, “Improving the performance of load balancing in software-defined networks through load variance-based synchronization,” Published in: Computer Networks, Vol. 68, pp. 95-109, 5 August 2014.
[6] P. Kumari and D. Thakur, “Load Balancing in Software Defined Network.,” 2017.
[7] S. Raghul, T. Subashri and K.R. Vimal, “Literature survey on traffic-based server load balancing using SDN and open flow”, In Signal Processing, Communication and Networking (ICSCN), 2017 Fourth International Conference on IEEE, pp. 1-6, 2017.
[8] P. Pathak and E. K. Mahajan, “A Review on Load Balancing In Cloud Computing. International Journal Of Engineering And Computer Science, Vol. 4, No. 06, 2015.
[9] A.A. Neghabi, N. Navimipur, M. Hosseinzadeh and A. Rezaee, “Load balancing mechanisms in the software defined networks: a systematic and comprehensive review of the literature,” IEEE Access, 2018.
[10] S. Kaur and J. Singh, “Implementation of Server Load Balancing in Software Defined Networking”, In Information Systems Design and Intelligent Applications, Springer, New Delhi, 2016, pp. 147-157..
[11] L. Shih-Chun, P. Wang and M. Luo, “Control traffic balancing in software defined networks”, Published in: Computer Networks, Vol. 106, pp. 260-271, 4 September 2016.
[12] D. Perepelkin and V. Byshov, “Visual design environment of dynamic load balancing in software defined networks,” 27th
International Conference Radioelektronika (RADIOELEKTRONIKA), pp. 1-4, 2017.
[13] V. Koryachko, D. Perepelkin and V. Byshov, “Approach of dynamic load balancing in software defined networks with QoS,” 2017 6th Mediterranean Conference on Embedded Computing (MECO), pp. 1-5, 2017.
[14] S. Attarha, K. Haji Hosseiny, G. Mirjalily and K. Mizanian, “A load balanced congestion aware routing mechanism for Software Defined Networks,” 2017 Iranian Conference on Electrical Engineering (ICEE) , Tehran, pp. 2206-2210, 2017.
[15] U. Mahlab, “Entropy-based load-balancing for software-defined elastic optical networks,” 2017 19th International Conference on Transparent Optical Networks (ICTON), pp. 1-4, Girona, 2017.
[16] P. Wang, H. Xu, L. Huang, J. He and Z. Meng, “Control Link Load Balancing and Low Delay Route Deployment for Software Defined Networks,” in IEEE Journal on Selected Areas in Communications, Vol. 35, No. 11, pp. 2446-2456, Nov. 2017.
[17] C. Yu, Z. Zhao, Y. Zhou and H. Zhang, “Intelligent Optimizing Scheme for Load Balancing in Software Defined Networks,” 2017 IEEE 85th Vehicular Technology Conference (VTC Spring), pp. 1-5, Sydney, NSW, 2017.
[18] T.V. Tran, HeejuneAhn, “Challenges of and solution to the control load of stateful firewall in software defined networks” Published in: Computer Standards & Interfaces, Vol. 54, No. 4, pp. 293-304, November 2017.
[19] H. Xu, X.Y. Li, L. Huang, Y. Du and Z. Liu, “Partial flow statistics collection for load-balanced routing in software defined networks” Published in: Computer Networks, Vol. 122, pp. 43-55, 20 July 2017.
[20] A.K. Rangisetti, T.V. Pasca and S.B. Reddy, “QoS Aware load balance in software defined LTE networks Author links open overlay panel,” Published in: Computer Communications, Vol. 97, pp. 52-71, 1 January 2017.
[21] C. Wang, B. Hu, S. Chen, D. Li and B. Liu, “A Switch Migration-Based Decision-Making Scheme for Balancing Load in SDN,” in IEEE Access, Vol. 5, pp. 4537-4544, 2017.
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Asian Journal of Computer Science and Technology is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and research papers covering all aspects of future computer and Information Technology areas. Topics include, but are not limited to:

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Wireless technology

Software Defined Networking is an adaptable way of networking, which disconnects data forwarding plane and control-plane of system equipment’s and also solves issues in existing network infrastructure. More specifically, the control-plane of software defined network decides the advancing way of network flow with Centralized Control Manner (CCM). SDN (Software Defined Networking) is a strategy for making, planning and overseeing systems which intend to change this present unfortunate circumstance. It has been used in dissimilar areas, like a campus networks and data center systems. In this survey paper, we’ve reviewed the concept of (SDNs) Software Defined Networks, its architecture and applications. In the survey, it has been found that SDN load balancing has become more smart and efficient and reduces the statistic collection overhead and maintain better QoS (Quality of Service) data rates. In addition, we reviewed the direct routing based algorithms of Load Balancer and compare with Round Robin Strategy. Furthermore, we’ve reviewed and compared the existing work to get better idea about the concept of Load balancing.

Editor-in-Chief
Dr. K. Ganesh
Global Lead, Supply Chain Management, Center of Competence and Senior Knowledge
Expert at McKinsey and Company, India
[email protected]
Editorial Advisory Board
Dr. Eng. Hamid Ali Abed AL-Asadi
Department of Computer Science, Basra University, Iraq
[email protected]
Dr. Norjihan Binti Abdul Ghani
Department of Information System, University of Malaya, Malaysia
[email protected]
Dr. Christos Bouras
Department of Computer Engineering & Informatics, University of Patras, Greece
[email protected]
Dr. Maizatul Akmar Binti Ismail
Department of Information System, University of Malaya, Malaysia
[email protected]
Dr. Harold Castro
Department of Systems Engineering and Computing, University of the Andes, Colombia
[email protected]
Dr. Busyairah Binti Syd Ali
Department of Software Engineering, University of Malaya, Malaysia
[email protected]
Dr. Sri Devi Ravana
Department of Information system, University of Malaya, Malaysia
[email protected]
Dr. Karpaga Selvi Subramanian
Department of Computer Engineering, Mekelle University, Ethiopia
[email protected]
Dr. Mazliza Binti Othman
Department of Computer System & Technology, University of Malaya, Malaysia
[email protected]
Dr. Chiam Yin Kia
Department of Software Engineering, University of Malaya, Malaysia
[email protected]
Dr. OUH Eng Lieh
Department of Information Systems, Singapore Management University, Singapore
[email protected]

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    Editorial Note

    Editorial Dr. K. Ganesh

    Editor-in-Chief
    Dr. K. Ganesh
    Global Lead, Supply Chain Management, Center of Competence and Senior Knowledge
    Expert at McKinsey and Company, India
    [email protected]
    Editorial Advisory Board
    Dr. Eng. Hamid Ali Abed AL-Asadi
    Department of Computer Science, Basra University, Iraq
    [email protected]
    Dr. Norjihan Binti Abdul Ghani
    Department of Information System, University of Malaya, Malaysia
    [email protected]
    Dr. Christos Bouras
    Department of Computer Engineering & Informatics, University of Patras, Greece
    [email protected]
    Dr. Maizatul Akmar Binti Ismail
    Department of Information System, University of Malaya, Malaysia
    [email protected]
    Dr. Harold Castro
    Department of Systems Engineering and Computing, University of the Andes, Colombia
    [email protected]
    Dr. Busyairah Binti Syd Ali
    Department of Software Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. Sri Devi Ravana
    Department of Information system, University of Malaya, Malaysia
    [email protected]
    Dr. Karpaga Selvi Subramanian
    Department of Computer Engineering, Mekelle University, Ethiopia
    [email protected]
    Dr. Mazliza Binti Othman
    Department of Computer System & Technology, University of Malaya, Malaysia
    [email protected]
    Dr. Chiam Yin Kia
    Department of Software Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. OUH Eng Lieh
    Department of Information Systems, Singapore Management University, Singapore
    [email protected]

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