Software Defined Networking (SDN) has emerged as a transformative networking paradigm, offering centralized control an‎d programmability to overcome the limitations of traditional network architectures. However, as networks grow in scale an‎d complexity, the scalability of a single controller architecture becomes a critical challenge. Deploying multiple controllers in SDN offers enhanced scalability, reliability, an‎d fault tolerance, but it introduces the Controller Placement Problem (CPP) an‎d the need for effective load balancing mechanisms. This report investigates load balancing strategies for SDN enabled networks with multiple controllers, drawing insights from a comprehensive review of recent research literature. We present a detailed taxonomy of load balancing techniques based on their operation level (data plane, control plane, an‎d other dynamic mechanisms), analyzing their strengths an‎d weaknesses, an‎d highlighting the trade offs involved in choosing different approaches. We also examine emerging trends in SDN load balancing research, such as the use of Artificial Intelligence (AI), the shift towards distributed control, an‎d the focus on application specific solutions. Our findings provide valuable insights for network operators an‎d researchers, guiding the design an‎d deployment of efficient an‎d scalable multi controller SDN networks.

6/9/2025 12:00:00 AM

86820

1404/03/20

An Investigation into Load Balancing Strategies for SDN Enabled Networks with Multiple Controllers

SDN , متعادل‌سازي بار , كنترل‌كننده‌هاي چندگانه , مسئله جايگذاري كنترل‌كننده , كنترل توزيع‌شده

SDN , Load Balancing , Multiple Controllers , Controller Placement Problem , Distributed Control