Performance Analysis of Software-Defined Networking in Band Controllers for Different Network Topologies
Abstract With the great increase in the complexity of networking, software-defined networks have been developed to help administrators operate and configure network services with controllers such as Pox, Ryu, Floodlight and OpenDaylight. Those controllers offer an appropriate platform for applications that need high bandwidth. In this paper, several SDN controllers have been evaluated using in-band communication mode with different network topologies to check the performance of the in-band controllers. Some controllers cannot operate with an in-band controller such as Pox. The controllers were evaluated with Mininet by using iperf and ping networking tools, the packet latency round trip time RTT and the comparison of the throughput of the three topologies. The results of the experiments showed that in-band controllers can be implemented and have efficient results. Results showed that OpenDaylight has the lower value of RTT so it is the best for the applications that need fast response. Ryu has a greater bandwidth value, so it is the best for applications that need high bandwidth. Floodlight comes third in order, after OpenDaylight and Ryu, respectively.
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Alrashedy, K., Kimmett, B., & Gulliver, T. A. (2017). Performance of Software-Defined Networking Controllers for Different Network Topologies. August. 10.1109/PACRIM.2017.8121925
Al-Somaidai, M. B. (2014). Survey of Software Components to Emulate OpenFlow Protocol as an SDN Implementation. American Journal of Software Engineering and Applications, 3(6), 74. 10.11648/j.ajsea.20140306.12
Asadollahi, S., Goswami, B., & Sameer, M. (2018). Ryu controller’s scalability experiment on software defined networks. 2018 IEEE International Conference on Current Trends in Advanced Computing, ICCTAC 2018, 1–5. 10.1109/ICCTAC.2018.8370397
Bholebawa, I. Z., & Dalal, U. D. (2018). Performance analysis of SDN/openflow controllers: POX versus floodlight. Wireless Personal Communications, 98(2), 1679–1699. 10.1007/s11277-017-4939-z
EstiNet - Simulator | EstiNet. (n.d.). Retrieved August 7, 2021, from https://www.estinet.com/ns/
Govindraj, S., Jayaraman, A., Khanna, N., & Prakash, K. (2012). OpenFlow: Load Balancing in enterprise networks using Floodlight Controller. Morse.Colorado.Edu, 1–11.
Kaur, S., Singh, J., & Ghumman, N. S. (2014). Network Programmability Using POX Controller.
Khondoker, R., Zaalouk, A., Marx, R., & Bayarou, K. (2014, October 3). Feature-based comparison and selection of Software Defined Networking (SDN) controllers. 2014 World Congress on Computer Applications and Information Systems, WCCAIS 2014. 10.1109/WCCAIS.2014.6916572
Kreutz, D., Ramos, F. M. V., Verissimo, P. E., Rothenberg, C. E., Azodolmolky, S., & Uhlig, S. (2015). Software-defined networking: A comprehensive survey. Proceedings of the IEEE, 103(1), 14–76. 10.1109/JPROC.2014.2371999
Lara, A., Kolasani, A., & Ramamurthy, B. (2014). Network innovation using open flow: A survey. IEEE Communications Surveys and Tutorials, 16(1), 493–512. 10.1109/SURV.2013.081313.00105
MaxiNet: Distributed Network Emulation. (n.d.). Retrieved August 7, 2021, from https://maxinet.github.io/
Mininet: An Instant Virtual Network on Your Laptop (or Other PC) - Mininet. (n.d.). Retrieved August 7, 2021, from http://mininet.org/
Mostafavi, S. A., Hakami, V., & Paydar, F. (2020). Performance Evaluation of Software-Defined Networking Controllers: A Comparative Study. Computer and Knowledge Engineering, 2(2), 63–73. 10.22067/CKE.V2I2.84917
ns-3 | a discrete-event network simulator for internet systems. (n.d.). Retrieved August 7, 2021, from https://www.nsnam.org/
Nunes, B. A. A., Mendonca, M., Nguyen, X. N., Obraczka, K., & Turletti, T. (2014). A survey of software-defined networking: Past, present, and future of programmable networks. IEEE Communications Surveys and Tutorials, 16(3), 1617–1634. 10.1109/SURV.2014.012214.00180
OFNet SDN network emulator | Open-Source Routing and Network Simulation. (n.d.). Retrieved August 7, 2021, from https://www.brianlinkletter.com/2016/11/ofnet-a-new-sdn-network-emulator/
OMNeT++ Discrete Event Simulator. (n.d.). Retrieved August 7, 2021, from https://omnetpp.org/?__cf_chl_jschl_tk__=pmd_c006c72e94d395f3446b6b2dcb1c8e8521460117-1628366263-0-gqNtZGzNAc2jcnBszQci
Rowshanrad, S., Abdi, V., & Keshtgari, M. (2016). Performance evaluation of sdn controllers: Floodlight and OpenDaylight. In IIUM Engineering Journal (Vol. 17, Issue 2, pp. 47–57). 10.31436/iiumej.v17i2.615
«SDN 101: Using Mininet and SDN Controllers». [Online]. Available: http://pakiti.com/sdn-101-using-mininet-and-sdn-controllers/. [Accessed: 07-Aug-2021].
Shah, S. A., Faiz, J., Farooq, M., Shafi, A., & Mehdi, S. A. (2013). An architectural evaluation of SDN controllers. IEEE International Conference on Communications, 3504–3508. 10.1109/ICC.2013.6655093
Shalimov, A., Zuikov, D., Zimarina, D., Pashkov, V., & Smeliansky, R. (2013). Advanced study of SDN/OpenFlow controllers. ACM International Conference Proceeding Series, January 2014. 10.1145/2556610.2556621
Shamim, S., Shisir, S., Hasan, A., Hasan, M., & Hossain, A. (2018). Performance Analysis of Different Openflow (Vol. 18, Issue 1).
Sharma, S., Staessens, D., Colle, D., Pickavet, M., & Demeester, P. (2013a). Automatic bootstrapping of openflow networks. IEEE Workshop on Local and Metropolitan Area Networks. 10.1109/LANMAN.2013.6528283
Sharma, S., Staessens, D., Colle, D., Pickavet, M., & Demeester, P. (2013b). Fast failure recovery for in-band OpenFlow networks. 2013 9th International Conference on the Design of Reliable Communication Networks (DRCN), 52–59.
Sharma, S., Staessens, D., Colle, D., Pickavet, M., & Demeester, P. (2016). In-band control, queuing, and failure recovery functionalities for openflow. IEEE Network, 30(1), 106–112. 10.1109/MNET.2016.7389839
Al-Gubouri, H. A. (2024). Performance Analysis of Software-Defined Networking in Band Controllers for Different Network Topologies. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 13(1), e31674. https://doi.org/10.14201/adcaij.31674
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