SA-PSO Approach for Optimizing QoS Management in SDN Service Chains
Wen Ji, Chenhan Lin, Jiang Liu, Helen Xu, Liangjie Xu, Jun Feng Hu · 2024
In recent years, the development of softwaredefined networking (SDN) and network function virtualization (NFV) has provided greater flexibility and programmability for network services. As a novel network architecture, Service Function Chaining (SFC) offers operators more possibilities in deploying and managing network service functions. However, current research often overlooks user Quality of Service (QoS) requirements, focusing primarily on operator interests. This paper addresses this gap by proposing a novel approach that integrates multidimensional QoS parameters and combines Simulated Annealing (SA) and Particle Swarm Optimization (PSO) algorithms to optimize QoS service management in SDN/NFV environments. Specifically, we devise a hybrid optimization strategy based on SA and PSO to achieve efficient resource allocation and service chain scheduling, aiming to enhance the overall QoS experience for users. Experimental results demonstrate significant improvements in network service delivery efficiency and user satisfaction, validating the effectiveness and practicality of the proposed approach.