Proposing a method for congestion control based on switch migration in software-defined networks using an improved African vulture metaheuristic algorithm

Document Type : Original Article

Authors

1 PhD Student, Department of Computer Engineering, Maybod Branch, Islamic Azad University, Maybod , Iran

2 Assistant Professor, Department of Computer Engineering, Taft Branch, Islamic Azad University, Taft, Iran

3 Assistant Professor, Department of Computer Engineering, Maybod Branch, Islamic Azad University, Maybod , Iran

10.22034/abmir.2025.22659.1093

Abstract

Software-defined networks have emerged as an innovative solution for managing large and complex networks due to their high programmability and flexibility. However, in multi-domain networks that utilize multiple controllers to enhance performance and scalability, serious challenges arise, including congestion management and load balancing among controllers. This paper presents a method based on dynamic and targeted migration of switches to distribute traffic and reduce pressure on controllers, with the aim of addressing the congestion issue. The proposed method employs an improved African Vulture Optimization Algorithm for managing controller load. In this approach, the load levels of switches and controllers are first measured, and if necessary, heavily loaded switches are transferred to controllers with greater capacity. The performance of the proposed method is compared with two similar methods. Simulation results indicate that the proposed method increases network throughput by 15% and improves delay and jitter about 20%. These results indicate the higher efficiency of the proposed method in improving network performance.

Keywords

References

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Applied and basic Machine intelligence research
Volume 2, Issue 2
March 2025
Pages 95-110

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