Evaluation and Performance Analysis of the Ryu Controller in Various Network Scenarios

Document Type : Original Article

Authors

Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran

10.22080/cste.2025.28843.1022

Abstract

Software-defined networking represents a revolutionary shift in network technology by decoupling the data plane from the control plane. In this architecture, all network decision-making processes are centralized in a controller, meaning each switch receives routing information from the controller and forwards network packets accordingly. This clearly highlights the crucial role of controllers in SDN performance. Ryu is one of the widely used SDN controllers, known for its ease of use in research due to its support for Python programming. This makes Ryu a suitable option for experimental and academic studies. In this research, we evaluate the performance of the Ryu controller based on various network metrics and across different network topologies. For experimental analysis, we use Mininet, a powerful network emulation tool that enables the creation of diverse network structures and the connection of switches to controllers. To facilitate the experiments, we developed a Python based script that executes various network scenarios, connects to different controllers, and captures and stores the results. This study not only provides a comprehensive performance evaluation of the Ryu controller but also paves the way for evaluating other SDN controllers in future research.

Keywords



Articles in Press, Accepted Manuscript
Available Online from 05 May 2025
  • Receive Date: 15 March 2025
  • Revise Date: 16 April 2025
  • Accept Date: 05 May 2025
  • First Publish Date: 05 May 2025
  • Publish Date: 05 May 2025