| International Journal of Applied Information Systems |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 13 - Number 3 |
| Year of Publication: 2026 |
| Authors: Vetrivelan Tamilmani, Aniruddha Arjun Singh, Vaibhav Maniar, Rami Reddy Kothamaram, Dinesh Rajendran, Venkata Deepak Namburi |
10.5120/ijaisd31b988d30b6
|
Vetrivelan Tamilmani, Aniruddha Arjun Singh, Vaibhav Maniar, Rami Reddy Kothamaram, Dinesh Rajendran, Venkata Deepak Namburi . Advances in SDN: A Survey on Network Virtualization, Traffic Management, and Resource Allocation. International Journal of Applied Information Systems. 13, 3 ( Jun 2026), 1-10. DOI=10.5120/ijaisd31b988d30b6
A new paradigm in network architecture, software-defined networking (SDN) allows for programmable, centralized, and flexible control of network resources. Data centers, clouds, and next-gen networks benefit from SDN's increased agility, scalability, and automation thanks to the separation of control and data planes. This paper provides a detailed overview of the SDN fundamentals, SDN architecture, northbound and southbound interfaces, advantages compared to traditional networking, and the SDN issues with implementation. It is coupled with Network Function Virtualization (NFV) and Virtual Data Centers (VDCs) that are explored with an aim of highlighting the dynamic resource allocation, traffic management, and network virtualization. The traffic and resource optimization based on SDN with the use of traffic engineering, Quality of Service (QoS)-aware routing, and machine learning is discussed as well. The discussion of the newly appearing paradigms such as edge-fog computing, 5G / 6G network environments is also offered to demonstrate the utmost importance of efficient, energy-aware and flexible resource planning in the modern IoT and high-speed network. Finally, the article also identifies the significance of efficient security the role, interoperability standardization and AI-driven optimization as the key to the prospect of SDN in a complex heterogeneous network infrastructure. The given insights are expected to facilitate the SDN-based networks studies and practice in the future.