Recent Research Articles in Software defined Networks

International Journal of Computer Science and Information

Technology (IJCSIT)

INSPEC Indexed

ISSN: 0975-3826(online); 0975-4660 (Print)

Simulation Of Software Defined Networks With Open Network Operating System And Mininet

Antonio Cortes

Department of Computer Engineering, University of Panama, Panama City, Panama


With the emergence of recent technologies in the field of computer network, traditional infrastructure in the field of networks have become obsolete and incompatible with respect to the new architectures of open networks that emerge with force. This is how software-defined networks emerge by enabling cloud computing ecosystem, enterprise data centers, and telecommunications service providers. The major contribution of this paper is the simulation of an ecosystem based on a software defined network by making use of certain types of networks topologies and using the virtualization of the open network operating system (ONOS) and Mininet as a network emulator.


Computer Network, Software-defined Networks, Network Topologies, Simulation, Open Network Operating System

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[1]      Carvalho, L. Fernando, Abrão. T, Mendes L. de Souza, ProençaJr. L. Mario, An Ecosystem for Anomaly Detection and Mitigation in Software-defined Networking, Expert Systems with Applications (2018), doi: 10.1016/j.eswa.2018.03.027

[2]      F. Keti and S. Askar, “Emulation of Software Defined Networks Using Mininet in Different Simulation Environments,” 2015 6th International Conference on Intelligent Systems, Modelling and Simulation, Kuala Lumpur, 2015, pp. 205-210, doi: 10.1109/ISMS.2015.46

[3]     Hartpence. B and Rosario. R, Software Defined Networking for Systems and Network AdministrationPrograms, The USENIX Journal of Education in System Administration, November 2016, Volume 2, Number 1,

[4]      Schaller. S and Hood. D, Software Defined Networking Architecture Standardization, Computer Standards & Interfaces, (2016), doi:10.1016/j.csi.2017.01.005

[5]      ONOS Controller, URL

[6]      A.R. Curtis, J.C. Mogul, J. Tourrilhes, P. Yalagandula, P. Sharma, S.Banergee, Devoflow: scaling flow management for high-performance networks, SIGCOMM Comput. Commun. Rev.41 (4) (2011) 254-265

[7]      Mininet Network Emulator, (Available at

[8]      LLDP Link Layer Discovery Protocol, (IEEE Standard 802.1 AB).

[9]  J. Metzler y S. Taylor, «Network World, » 08 06 2011. [En línea]. Available

[10]  Mininet. An Instant Virtual Network on your Laptop.2014, Accessed: Sept.         2014[Online] Available:

[11]    B. Lantz, B. Heller, and N. McKeown, “A network in a laptop: rapid prototyping for software-defined  networks,” in Proceedings of the 9thACM SIGCOMM Workshop on Hot Topics in Networks. ACM, 2010.

[14]    Rahali A., Guerbaoui M., Ed-dahhak A., El Afou Y., Tannouche A., Lachhab A., & Bouchikhi, B, (2011) “Development of a data acquisition and greenhouse control system based on GSM”, Int. J. Eng. Sci. Technol., Vol. 3, No. 8, pp. 297–306.

[15]   Kalinin Y. S., Velikov E. K., & Markova, V. I, (2015) “Design of Indoor Environment Monitoring System Using Arduino”, Int. J. Innov. Sci. Mod. Eng., Vol. 3, No. 7, pp. 46–49, 20.

[16]   Lokesh Krishna K., Madhuri J., & Anuradha K, (2016) “A ZigBee based Energy Efficient Environmental Monitoring Alerting and Controlling System”, in International Conference On Information Communication And Embedded Systems (ICICES2016).


Antonio Cortes Castillo is a computer engineer trained in the Latin American University of Science and Technology (ULACIT), Costa Rica, 1995. He obtained his bachelor´s degree in computer engineering with an emphasis in Management Information System at the Nacional University of Heredia, Costa Rica, 2002. Adquiere his Master´s degree in Computer Science (Telematics) at the Technological Institute of Costa Rica. He is now teaching at the University of Panam  a and is with his PhD at the University of Alicante.

Reduction of monitoring registers on software defined networks

Luz Angela Aristizábal Q.1 and Nicolás Toro G.2

 1Department of Computation, Faculty of Management, Universidad Nacional de Colombia.

2Department of Electrical and Electronic Engineering, Universidad Nacional de Colombia.


Characterization of data network monitoring registers allows for reductions in the number of data, which is essential when the information flow is high, and implementation of processes with short response times, such as interchange of control information between devices and anomaly detection is required. The present investigation applied wavelet transforms, so as to characterize the statistic monitoring register of a software-defined network. Its main contribution lies in the obtention of a record that, although reduced, retains detailed, essential information for the correct application of anomaly detectors.


Characterization, wavelet transform, network monitoring, anomaly detectors, Software-defined Networking (SDN)

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[1]     Ibidunmoye, Olumuyiwa, Hernandez R Francisco, Elmroth Erick .(2015) “Performance Anomaly Detection and Bottleneck Identification”. ACM Computing Surveys, Vol. 48, No. 1, Article 4.

[2]     M, Jammal, T. Singh, A. Shami, R.l Asal, Y. Li, (2014) “Software defined networking: State of the art and research challenges“, Computer Networks.

[3]     Dabbagh, B.Hamdaoui, M. Guizani, and A. Rayes,(2015) “Software-Defined Networking Security: Pros and Cons“, IEEE Communications Magazine.

[4]     N, S. Bailey, Deepak Bansal, Linda Dunbar, Dave Hood, Zoltán Lajos Kis, (2012) “SDN Architecture Overview”. Open Network Foundation. ( reports/SDN-architecture-overview-1.0.pdf)

[5]     K. Giotis, C. Argyropoulos, G. Androulidakis, D. Kalogeras, V. Maglaris, (2014) “Combining OpenFlow and sFlow for an effective and scalable anomaly detection and mitigation mechanism on SDN environments”, Computer pag. 122–136

[6]    L. Jose, M. Yu, and J. Rexford, (2011) “Online measurement of large traffic aggregates on commodity switches”, in Proc. of the USENIX workshop.

[7]     Stéphane. Mallat, (2008) “A wavelet tour of signal processing”. Academic Press, USA.

[8]     L. Kalinichemko, I. Shanin, I. Taraban,(2014) “Methods for Anormaly Detection: a Survey“, Advanced Methodos and Technologies, digital collections. Pag. 20-25.

[9]     J. Uthayakumar, T.Vengattaraman, P. Dhavachelvan (2018) “A survey on data compression techniques: From the perspective of data quality, coding schemes, data type and applications”  Journal of King Saud University – Computer and Information Sciences. Pags. 1-22

[10]   L.A. Aristizábal (2009). “Paralell implementation for Generalized Method 1-D Biosignal Compession” World Academic of Science, Engineering and Technology.

[11]   L.A. Aristizábal, C. Cortes, R, Flórez (2008).”ECG signal noise reduction and compression for remote diagnosis systems”. INTER-NOISE Congress Proceedings. Pags 4130-4135.

[12]   K. Kyriakopoulos, D.J. Parish (2009). “Using Wavelets for Compression and Detecting Events in Anomalous Network Traffic”. Fourth International Conference on Systems and Networks Communications. IEEE Xplore.

[13]   A. Al-Jawad, P. Shah, O. Gemikonakli, R. Trestian.(2016). “Compression-based technique for SDN using sparse-representation dictionary”. IEEE/IFIF Network Operations and Management Symposium.

[14]   A. Cortes. (2018) “Simulation of Software Define Networks with Open Network Operating System and Mininet”. International Journal of Computer Science and Information Technology. (IJCSIT). Vol 10. Nro. 5. Pags 21-32.

[15]   M. Dabagh, B. Handaoul, M. Guizani, A. Rayes, (2015) “Software-Defined Networking Security: Pro and Cons”, IEEE Communications Magazine. pags. 73-79.

[16]   L. Seunghyeon, K. Jinwoo, S. Seungwon, P. Porras, (2017). “Athena: A framework for scalable Anormaly Detection in Software Defined Networks”,47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks. Pags 249-260.


Luz A. Aristizábal Q. is a professor in the Department of Computing in the Faculty of Management at the Universidad Nacional de Colombia. She received her Meng. in Physical Instrumentation from the Universidad Tecnológica de Pereira in 2009, her degree in Data Network Specialization from la Universidad del Valle in 1991, and her degree in Engineering Systems from la Universidad Autónoma in 1989. Her research focuses on aspects of computer and data networks, including network simulators, signal processing, and network paradigms.

Nicolás Toro G. is a professor in the Department of Electricity, Electronics, and Computing. He received his PhD in Engineering-Automation and a bachelor’s degree in Electrical Engineering from the Universidad Nacional de Colombia in 2013  and 1983, respectively, and his master’s degree in Automated Production Systems from the Universidad Tecnológica de Pereira in 1992. His research focuses on many aspects of industrial automation, including network design, measurement, and analysis.

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