Enhancing Network Resilience and Disaster Recovery with SDN and NFV A TOPSIS Analysis

In the contemporary digital environment, the importance of resilient and adaptable network infrastructures cannot be overstated. This research examines the efficacy of Software-Defined Networking (SDN), Network Functions Virtualization (NFV), and hybrid models in constructing robust networks capable of swift recovery from disasters and network outages. Utilizing the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), a comprehensive evaluation is undertaken to gauge the performance of different network infrastructures based on crucial criteria including fault recovery time, scalability, cost-effectiveness, implementation complexity, latency, and security considerations. The findings from the TOPSIS analysis highlight NFV with Dynamic Scaling as the most effective infrastructure, particularly excelling in scalability, cost-efficiency, and fault recovery. Following closely, the Hybrid SDN-NFV Architecture offers a balanced approach by harnessing the strengths of both SDN and NFV technologies, securing the second position. SDN with Redundancy ranks third, demonstrating notable strengths in scalability, cost-efficiency, and latency. While Traditional Network Infrastructure and Cloud-based Network Virtualization are respectively cost-effective and secure, they exhibit limitations in fault recovery, scalability, and cost-effectiveness.