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http://dx.doi.org/10.17661/jkiiect.2020.13.1.88

A Study on the Flow Analysis on the Software-Defined Networks through Simulation Environment Establishment  

Lee, Dong-Yoon (Department of Electrical & Electronic Engineering, Joongbu University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.13, no.1, 2020 , pp. 88-93 More about this Journal
Abstract
Recently, SDN technology is applied to real communication business, users are getting bigger, and as the amount of data flowing in the network increases, interest in network data flow management is increasing. During this process, it must be ensured that the confidentiality, integrity, availability, and traceability of the data on the network being transmitted. In addition, it is necessary to develop an environment for observing the flow of data in real time on a network required in various fields and visually confirming the control. In this paper, first, Mininet is applied to construct a network topology and various environment attributes. Second, we added OpenDayLight in Mininet environment to develop a simulation environment to visually check and control network traffic flow in network topology.
Keywords
SDN; Network Traffic Flow Management; Mininet; OpenDayLight;
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1 Dixit A., Hao F., Mukherjee S., Lakshman T. V., and Kompella, R., "Towards an elastic distributed SDN controller", SIGCOMM Computer Communication Reveview, vol. 43, No. 44, pp. 7-12, 2013.
2 Scott-Hayward S., Natarajan S., and Sezer S., "A survey of security in software defined networks", IEEE Communications Surveys & Tutorials, Vol. 18, No. 1, pp. 623-654, 2016.   DOI
3 YunHee Kang, Younhoon Park, and KwngMan Ko, "Adverstise based Adaptive Model for IoT device in Network Virtualization Environment", CUTE 2017, pp.22-28, 2017.
4 J. Medved, R. Varga, A. Tkacik, and K. Gray, "OpenDaylight: Towards a Model-Driven SDN Controller architecture," in Proceeding of IEEE Int'l Symposium on a World of Wireless, Mobile and Multimedia Networks, pp. 1-6., 2014.
5 Mininet, http://mininet.org/, 2018, May.
6 D. A. Patterson and J. L. Hennessy, Computer Organization and Design MIPS Edition: The Hardware/Software Interface, 5th ed. New York, NY, USA: Elsevier, 2014, p. 800.
7 P. Megyesi, A. Botta, G. Aceto, A. Pescape, and S. Molnar, "Challenges and solution for measuring available bandwidth in software dened networks,'' Comput. Commun., vol. 99, pp. 4861, Feb. 2017.
8 K. Yi and Y. H. Ding, "32-bit RISC CPU based on MIPS instruction fetch module design,'' in Proc. Int. Joint Conf. Artif. Intell., 2009, pp. 754760.
9 A. Botta, A. Dainotti, and A. Pescape, "A tool for the generation of realistic network workload for emerging networking scenarios,'' Comput. Netw., vol. 56, no. 15, pp. 35313547, Oct. 2012.
10 M. Karakus and A. Durresi, "A survey: Control plane scalability issues and approaches in software-dened networking (SDN),'' Comput. Netw., vol. 112, pp. 279293, Jan. 2017.
11 C. L. Lim, A. Moffat, and A. Wirth, "Lazy and eager approaches for the set cover problem,'' presented at the 37th Austral. Comput. Sci. Conf., vol. 147, Auckland, New Zealand, 2014.