Service Function Chain Resource Allocation and Offloading in Constrained Edge-Cloud Optical Networks

Internet Service Providers (ISPs) face escalating data traffic and diverse application needs, prompting the adoption of 5 G technology to enhance network agility and intelligence. However, traditional networks fall short, necessitating the integration of Network Function Virtualization (NFV), Software-Defined Networking (SDN), and Multi-access Edge Computing (MEC). Despite advancements, efficient resource allocation remains a challenge, especially with edge computing. This study evaluates Mixed Integer Linear Programming (MILP) and Heuristic algorithms for Virtual Network Embedding (VNE) in 5G networks. Results provide insights into optimal resource allocation and offloading strategies.