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<p>Aiming to address the shortage of experimental resources, the high cost of large-scale deployment of hardware experimental environment and the difficulty for students to get started in the software-defined network (SDN) course, this article proposes an SDN experimental teaching scheme based on the virtualised environment, and gives a specific experimental scheme design. The scheme utilises virtualisation technology to build a SDN experimental environment quickly, uses a lightweight network simulation platform – that goes by the name of Mininet – to build the SDN network and uses open-source controller Floodlight for centralised control of the SDN network. The scheme is mainly divided into three phases: basic, improvement and synthesis. In the basic phase, experimental projects mainly include the study of SDN basic concepts and the use of relevant tools; in the improvement phase, experimental projects mainly include the use of SDN flow table, group table, etc; in the synthetic phase, we design two innovative experimental projects that use computational intelligence technology to achieve efficient load balancing and accurate malicious attack detection. The difficulty of each phase is increasing. The constantly evolving levels of difficulty allow the individual needs of students with different levels to be met, thereby improving the effect of SDN experimental teaching and cultivating innovative SDN talents.</p>
</abstract>

Aiming to address the shortage of experimental resources, the high cost of large-scale deployment of hardware experimental environment and the difficulty for students to get started in the software-defined network (SDN) course, this article proposes an SDN experimental teaching scheme based on the virtualised environment, and gives a specific experimental scheme design. The scheme utilises virtualisation technology to build a SDN experimental environment quickly, uses a lightweight network simulation platform – that goes by the name of Mininet – to build the SDN network and uses open-source controller Floodlight for centralised control of the SDN network. The scheme is mainly divided into three phases: basic, improvement and synthesis. In the basic phase, experimental projects mainly include the study of SDN basic concepts and the use of relevant tools; in the improvement phase, experimental projects mainly include the use of SDN flow table, group table, etc; in the synthetic phase, we design two innovative experimental projects that use computational intelligence technology to achieve efficient load balancing and accurate malicious attack detection. The difficulty of each phase is increasing. The constantly evolving levels of difficulty allow the individual needs of students with different levels to be met, thereby improving the effect of SDN experimental teaching and cultivating innovative SDN talents.

Design of software-defined network experimental teaching scheme based on virtualised Environment

School of Computer Science and Technology

Wuhan University of Science and Technology

Hubei Province Key Laboratory of Intelligent Information Processing and Real Time Industrial System

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Aiming to address the shortage of experimental resources, the high cost of large-scale deployment of hardware experimental environment and the difficulty for...

Design of software-defined network experimental teaching scheme based on virtualised Environment

Published Online: May 25, 2021

Page range: 181 - 192

Received: Jan 06, 2021

Accepted: Apr 11, 2021

DOI: https://doi.org/10.2478/amns.2021.2.00005

Keywords
software-defined network, virtualization, experimental teaching, computational intelligence, Floodlight, Mininet

© 2021 Heng He et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Design of software-defined network experimental teaching scheme based on virtualised Environment

Published Online: May 25, 2021

Page range: 181 - 192

Received: Jan 06, 2021

Accepted: Apr 11, 2021

DOI: https://doi.org/10.2478/amns.2021.2.00005

Keywordssoftware-defined network, virtualization, experimental teaching, computational intelligence, Floodlight, Mininet

© 2021 Heng He et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
software-defined network, virtualization, experimental teaching, computational intelligence, Floodlight, Mininet