Email this article 
Open Access
Subscription or Fee Access
A Survey on Load Balancing Methods in Software Defined Network
Abstract
Software-Defined Networking (SDN) is a novel network architecture which has received much attention in recent years. SDN is an architecture designed for improving and simplifying network management with high flexibility by separating control plane and data plane. Thus, programmability of the network is enhanced which in turn leads to more innovation opportunities. The separating of concerns introduced between the definition of network policies, their implementation in switching hardware, and forwarding of traffic are the main keys to the desired flexibility: by breaking the network control problem into tractable pieces, SDN makes it easier to create and introduce new abstractions in networking, simplifying of the network management and facilitating network evolution. Since Load Balancing service is essential to service for distributing workload across server farms or data centers, this paper has summarized and categorized Load Balancing methods in SDN. Many load balancing strategies based on SDN have been suggested to improve the performance of the networks. So, despite expressing of proposed methods, this paper also analyzes their advantages and disadvantage and will promote the SDN development and provide a guidance and comprehensive study for other researchers in this field who want to propose a new method of Load Balancing.
Keywords
References
Nunes, Bruno Astuto A., et al. "A survey of software-defined networking: Past, present, and future of programmable networks." IEEE Communications Surveys & Tutorials 16.3 (2014): 1617-1634.
Kreutz, Diego, et al. "Software-defined networking: A comprehensive survey." Proceedings of the IEEE 103.1 (2015): 14-76.
McKeown, Nick, et al. "OpenFlow: enabling innovation in campus networks." ACM SIGCOMM Computer Communication Review 38.2 (2008): 69-74.
ONF, “Open networking foundation,” 2014. [Online]. Available: https://www.opennetworking.org/
Open Networking Foundation, “OpenFlow Switch Specification - Version 1.5.1 (Protocol version 0x06)”, ONF TS-025, March 2015.
OpenFlow Switch Consortium, OpenFlow Spec, Available: https://www.opennetworking.org/images/stories/downloads/sdnresources/onf-specifications/openflow/ openflow-spec-v1.5.0.pdf, 2015.
Lara, Adrian, Anisha Kolasani, and Byrav Ramamurthy. "Network innovation using openflow: A survey." IEEE communications surveys & tutorials 16.1 (2014): 493-512.
Curtis, Andrew R., Wonho Kim, and Praveen Yalagandula. "Mahout: Low-overhead datacenter traffic management using end-host-based elephant detection." INFOCOM, 2011 Proceedings IEEE. IEEE, 2011.
Chen, Wenbo, et al. "Dynamic server cluster load balancing in virtualization environment with openflow." International Journal of Distributed Sensor Networks 11.7 (2015): 531538N.
Handigol, S. Seetharaman, M. Flajslik, N. Mckeown, R. Johari, “Plug-n-Server:load-balacing Web traffic using OpenFlow,” In ACM Sigcomm Demo,(2009): pp. 268- 270.
R. Wang, D. Butnariu, J. Rexford, “OpenFlow-based server load balancing gone wild,” Usenix Conference on Hot Topics in Management of Internet, Cloud, and Enterprise Networks and Services. USENIX Association, (2011): pp. 12-12.
C. Hopps, “Analysis of an Equal-Cost Multi-Path Algorithm,” RFC Editor, 2000.
Mohammad Al-Fares, Sivasankar Radhakrishnan, Barath Raghavan, Nelson Huang, Amin Vahdat, “Hedera:dynamic flow scheduling for data center networks,” in 7th USENIX Symposium on Networked Systems Design and Implementation, 2010.
M. Alizadeh, T. Edsall, S. Dharmapurikar, et al., “CONGA: distributed congestion-aware load balancing for datacenters,” ACM Conference on SIGCOMM. ACM, (2014): pp. 503-514.
Li, Yu, and Deng Pan. "OpenFlow based load balancing for Fat-Tree networks with multipath support." Proc. 12th IEEE International Conference on Communications (ICC’13), Budapest, Hungary. 2013.
F. Carpio, A. Engelmann, A. Jukan, “DiffFlow: Differentiating Short and Long Flows for Load Balancing in Data Center Networks,” 2016.
R. Gandhi, H. H. Liu, Y. C. Hu, et al., “Duet: cloud scale load balancing with hardware and software,” ACM, 2014.
J. Li, X.. Chang, Y. Ren, Z. Zhang, G. Wang, “An Effective Path Load Balancing Mechanism Based on SDN,” IEEE, International Conference on Trust, Security and Privacy in Computing and Communications. IEEE, (2014): pp. 527-533.
M. Yu, J. Rexford, M. J.Freedman, J. Wang, “Scalable Flow-based Networking with DIFANE,” ACM SIGCOMM Computer Communication Review,(2010), vol. 41, pp. 351-362.
T. Koponen, M. Casado, N. Gude, et al, “ Onix : a distributed control platform for large-scal production networks,” In OSDI , (2010): pp. 1-6.
Tootoonchian, Amin, and Yashar Ganjali. "Hyperflow: A distributed control plane for openflow." Proceedings of the 2010 internet network management conference on Research on enterprise networking. 2010.
A. Dixit, H. Fang, S. Mukherjee, T.V. Lakshman, R.R. Kompella, “ElastiCon: an elastic distributed sdn controller,” Proceedings of the tenth ACM/IEEE symposium on Architectures for networking and communications systems.ACM, (2014): pp. 17-28.s
A. Krishnamurthy, S. P. Chandrabose, A. Gember-Jacobson, “Pratyaastha: an efficient elastic distributed SDN control plane,” The Workshop on Hot Topics in Software Defined NETWORKING. ACM, (2014): pp. 133-138.
Y. P. Yu , H. Qin, “Research on load balancing strategy of controller in OpenFlow network,” Network Security Technology and Application, 2015, pp. 6-7. Network Security Technology and Application China,(2015): pp. 6-7.
F. Y. Chen, B. Q. Wang, B. W. Wang, Z. M. Wang, "Progressive auction based switch migration mechanism in software define network", Journal of Computer Applications, vol. 35,(2015): pp. 2118-2123.
Y. Hu, W. Wang, X. Gong, X. Que, S. Cheng, “BalanceFlow: Controller load balancing for OpenFlow networks”[C]// Cloud Computing and Intelligent Systems. IEEE, (2012), vol. 2, pp. 780-785.
Lin, P. P., et al. "MSDN: a mechanism for scalable intra-domain control plane in SDN." Journal of Chinese Computer Systems 34.9 (2013): 1969-1974.
Lin, Pingping, Jun Bi, and Hongyu Hu. "Asic: an architecture for scalable intra-domain control in openflow." Proceedings of the 7th International Conference on Future Internet Technologies. ACM, 2012.
F. Cimorelli, F. D. Priscoli, A. Pietrabissa, et al., “A distributed load balancing algorithm for the control plane in software defined networking,” Mediterranean Conference on Control and Automation, (2016): pp. 1033-1040.
S. Hassas Yeganeh, Y. Ganjali, “ Kandoo: a framework for efficient and scalable offloading of control applications,” The Workshop on Hot Topics in Software Defined Networks. ACM,(2012): pp. 19-24.
Yao, Haipeng, et al. "A multicontroller load balancing approach in software-defined wireless networks." International Journal of Distributed Sensor Networks 11.10 (2015): 454159.
Basta, Arsany, et al. "Towards a dynamic SDN virtualization layer: Control path migration protocol." Network and Service Management (CNSM), 2015 11th International Conference on. IEEE, 2015.
R. Sherwood, G. Gibb, K. K. Yap, et al. “Can the production network be the testbed?,” OSDI (2010), vol. 10, pp. 1-6.
M. Koerner, O. Kao, “Multiple service load-balancing with OpenFlow,” IEEE, International Conference on High PERFORMANCE Switching and Routing. IEEE, (2012): pp. 210-214
G. Iannaccone, C. Chuah, S. Bhattacharyya, C. Diot, “Feasibility of IP restoration in a tier-1 backbone”, IEEE Network 18 (2004).
Cao, Zhiruo, Zheng Wang, and Ellen Zegura. "Performance of hashing-based schemes for internet load balancing." INFOCOM 2000. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE. Vol. 1. IEEE, 2000.
Bharti, Sourabh, and Kiran Kumar Pattanaik. "Dynamic distributed flow scheduling with load balancing for data center networks." Procedia Computer Science 19 (2013): 124-130.
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.