Keywords
Network management
Data centers
Wide area network
Cloud computing
Submitted : 2025-08-27
Accepted : 2025-09-11
Published : 2025-09-26
Abstract
With the rapid development of information technology, the scale of the network is expanding, and the complexity is increasing day by day. The traditional network management is facing great challenges. The emergence of software-defined network (SDN) technology has brought revolutionary changes to modern network management. This paper aims to discuss the application and prospects of SDN technology in modern network management. Firstly, the basic principle and architecture of SDN are introduced, including the separation of control plane and data plane, centralized control and open programmable interface. Then, it analyzes the advantages of SDN technology in network management, such as simplifying network configuration, improving network flexibility, optimizing network resource utilization, and realizing fast fault recovery. The application examples of SDN in data center networks and WAN optimization management are analyzed. This paper also discusses the development status and trend of SDN in enterprise networks, including the integration of technologies such as cloud computing, big data, and artificial intelligence, the construction of an intelligent and automated network management platform, the improvement of network management efficiency and quality, and the openness and interoperability of network equipment. Finally, the advantages and challenges of SDN technology are summarized, and its future development direction is provided.
References
Zhao Y, Iannone L, Riguidel M, 2015, On the Performance of SDN Controllers: A Reality Check, Proc. IEEE Conf. Netw. Function Virtualization Softw. Defined Netw., 79–85.
Xia W, Wen Y, Foh CH, et al., 2015, A Survey on Software-Defined Networking. IEEE Commun. Survey Tuts., 17(1): 27–51.
Yu FR, Leung VMC, 2015, Advances in Mobile Cloud Computing Systems, CRC Press, New York.
Lin YD, Pitt D, Hausheer D, et al., 2014, Software-Defined Networking: Standardization for Cloud Computing’s Second Wave. Computer, 47(11): 19–21.
Zhang P, Zhou M, Fortino G, 2018, Security and Trust Issues in Fog Computing: A Survey. Future Gener. Comput. Syst, 88(2018): 16–27.
Van Oorschot PC, Smith SW, 2019, The Internet of Things: Security Challenges, IEEE Secur. Privacy, 17(5): 7–9.
Boroojeni KG, Amini MH, Iyengar S, 2017, Overview of the Security and Privacy Issues in Smart Grids, Smart Grids: Security and Privacy Issues, Springer, 1–16.
Babar M, Tariq MU, Jan MA, 2020, Secure and Resilient Demand Side Management Engine Using Machine Learning for IoT-Enabled Smart Grid. Sustainable Cities Soc, 62: 102370.
Wang J, Wang L, 2022, SDN-Defend: A Lightweight Online Attack Detection and Mitigation System for DDoS Attacks in SDN. Sensors, 22: 8287.
Manso P, Moura J, Serrao C, 2019, SDN-Based Intrusion Detection System for Early Detection and Mitigation of DDoS Attacks. IEEE Access, 10: 106.