面向云雾边协同网络的SFC鲁棒增强部署研究OA

Cloud-Fog-Edge Collaborative Network(CFECN)is a key infrastructure for enabling ubiquitous intelligent services in 6G.However,its heterogeneous resource characteristics pose significant challenges for Service Function Chain(SFC)deployment.Existing methods often focus on single-path mapping,which can become a performance bottleneck in dynamic network environments.Building upon an existing two-stage SFC deployment framework,an enhanced multi-path link mapping mechanism is proposed.In the node mapping stage,the NSGA-Ⅱ algorithm is employed to optimize deployment cost and system throughput.Subsequently,in the link mapping stage,the K-Shortest Path(KSP)algorithm is introduced to generate multiple candidate paths that satisfy bandwidth and delay constraints,along with a dynamic selection and reservation strategy based on path quality awareness.This enhancement aims to improve the system's adaptability to link congestion and sudden failures,thereby enhancing the robustness of slice deployment.Simulation results demonstrate that the proposed enhanced mechanism significantly improves the request acceptance rate and system stability under high-load scenarios while maintaining the original advantages in cost and throughput,providing a more reliable and efficient solution for service customization in CFECN.