A system to support learning of OpenFlow network by visually associating controller configuration information and logical topology
Hiroki Fujita, Yoshiaki Taniguchi, Nobukazu Iguchi · 2017
In this paper, we develop a system to support learning of OpenFlow by visually associating controller configuration information and logical topology. In our system, the constructed topology is visually shown on a touchscreen display and a learner can easily confirm the topology. In addition, a learner can configure the controller by visual and simple operation using the touchscreen display. Therefore, a learner can learn the behavior of the OpenFlow even if the learner is a beginner. Through experimental evaluation, we confirmed that our system can be applied to an OpenFlow network consists of dozens of OpenFlow switches.