A Comparative Analysis of Traffic Analysis Frameworks in Software-Defined Networking

Software-defined networking (SDN) has emerged as a transformative paradigm in modern networking by decoupling the control plane from the data plane, enabling centralized control and programmability. This architectural shift addresses the increasing complexity and dynamic requirements of networks by offering enhanced flexibility, scalability, and efficiency. A crucial aspect of SDN is the analysis of network traffic, which plays a pivotal role in performance optimization, network management, and troubleshooting. Recent frameworks have leveraged metrics such as round-trip time, throughput, bandwidth, and packet count to provide insights into network behavior and efficiency. Among these, the RYU controller stands out for its extensibility and flexibility in supporting traffic analysis tasks. A comprehensive review of the various techniques used in SDN traffic analysis highlights their strengths and limitations in optimizing SDN network performance and management.