Journal of Engineering Research

With the rapid development of information technology, the traditional campus network is facing many challenges, such as insufficient bandwidth, complex management and security risks. As an innovative network architecture, Software Defined Network (SDN) provides a new idea for network management and optimization by separating the control layer from the data layer. This paper aims to design and implement a campus network application based on SDN technology, explore its practical application potential in campus environment, and verify its advantages in network performance and management efficiency through experiments. Firstly, the SDN network model is constructed, and the controller, switch and terminal equipment are configured. Then, the network application program is developed by Python, and the OpenFlow protocol is integrated to realize the dynamic management of network traffic. Mininet is selected to build a virtualized experimental environment, and simulation experiments are carried out in traffic scheduling, network fault recovery, quality of service (QoS) and security protection. The experimental results show that the campus network based on SDN is significantly superior to the traditional network architecture in terms of traffic management and resource allocation, and it can efficiently handle peak traffic and dynamically adjust network strategies to effectively prevent congestion. Finally, based on the experimental data, this paper discusses the future development direction of SDN in campus network, and puts forward some optimization suggestions including intelligent network management, edge computing integration and AI-based traffic prediction, hoping to provide theoretical reference and practical guidance for intelligent and efficient management of campus network.

Software Defined Network (SDN); Campus network; Network management; Traffic control; Mininet