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Performance Evaluation of Different SDN Controllers

Author

Listed:
  • Shavan Askar

    (Assistant Professor, Erbil Polytechnic University, CEO Arcella Telecom, Erbil, Iraq)

  • Faris Keti

    (Electrical and Computer Engineering, College of Engineering, University of Duhok, Duhok, Iraq)

Abstract

The unprecedented growth in internet applications’ requirement makes adopting smart network architectures such as Software Defined Networking inevitable. Software-Defined Networking (SDN) is a new network architecture that separates the tight coupling between the control plane and the data plane that exists in traditional networks. The purpose of this separation is to enhance the controllability, security, and management of network resources. A controller is the core element of any SDN network, since SDN use as an alternative of traditional networks, different controllers have been developed, such as Beacon, Floodlight, RYU, OpenDay Light, ONOS, NOX, and POX. Due to the diversity of SDN applications and the use of controllers, the choice of the best-fitted controller has become an application-dependent process, therefore, this study evaluates different SDN controllers in trem of their effect on the SDN QoS performance. A comparison between the POX and RYU, which are widely used controllers, was conducted. Mininet and Miniedit was utilized as an emulation tool to compare the performance of POX and RYU controllers. For emulation purpose, Mininet, iperf3, ping, and the tested controllers POX and RYU were ran on the emulation machine that comes with the following specifications; Intel ® Core™ i5-6200 U CPU @ 2.30 GHz × 2 (2 cores) and 4 GB RAM with Ubuntu 14.04 LTS-64-bit operating system. An evaluation for both scenarios, POX and RYU, was conducted to invetiage the performance in term of QoS parameters, namely Throughput, Round-Trip Time, and Jitter using TCP, UDP, and ICMP traffic. The obtained results show that RYU controller performed better compared to POX controller, whereas, the RYU controller recorded 1.24% to 5.35% higher average throughput. In addition, RYU controller obtained 0.5 to 1 ms less delay and around 0.02 ms less jitter values than its counterpart POX controller.

Suggested Citation

  • Shavan Askar & Faris Keti, 2021. "Performance Evaluation of Different SDN Controllers," International Journal of Science and Business, IJSAB International, vol. 5(6), pages 67-80.
  • Handle: RePEc:aif:journl:v:5:y:2021:i:6:p:67-80
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    References listed on IDEAS

    as
    1. Ibrahim Shamal Abdulkhaleq & Shavan Askar, 2021. "Evaluating the Impact of Network Latency on the Safety of Blockchain Transactions," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 71-82.
    2. Chnar Mustaf Mohammed & Shavan Askar, 2021. "Machine Learning for IoT HealthCare Applications: A Review," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 42-51.
    3. Glena Aziz Qadir & Shavan Askar, 2021. "Software Defined Network Based VANET," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 83-91.
    4. Baydaa Hassan Husain & Shavan Askar, 2021. "Survey on Edge Computing Security," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 52-60.
    5. Kosrat Dlshad Ahmed & Shavan Askar, 2021. "Deep Learning Models for Cyber Security in IoT Networks: A Review," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 61-70.
    6. Zhwan Mohammed Khalid & Shavan Askar, 2021. "Resistant Blockchain Cryptography to Quantum Computing Attacks," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 116-125.
    7. Kurdistan Ali & Shavan Askar, 2021. "Security Issues and Vulnerability of IoT Devices," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 101-115.
    8. Mustafa Nizamul Aziz & A.K.M. Monzurul Islam, 2020. "Reviewing Data Mining as an enabling technology for BI," International Journal of Science and Business, IJSAB International, vol. 4(7), pages 46-51.
    9. Jannah Mohammad, 2020. "A framework synthesis by Ad-HOC based Cyber-Physical System for Performance Measure into Peak and off-Peak hours," International Journal of Science and Business, IJSAB International, vol. 4(11), pages 33-39.
    10. Zhala Jameel Hamad & Shavan Askar, 2021. "Machine Learning Powered IoT for Smart Applications," International Journal of Science and Business, IJSAB International, vol. 5(3), pages 92-100.
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