Edge-Cloud Offloading: Knapsack Potential Game in 5G Multi-Access Edge Computing

In 5G, multi-access edge computing enables the applications to be offloaded near-end servers for faster response. According 3GPP standards, users in 5G are separated into many types, e.g., vehicles, AR/VR, IoT devices, etc. Specifically, high-priority traffic can preempt resources guarantee service quality. However, even if a is transmitted with low priority, its latency requirement much lower than that 4G. Too strict and priority-based make resource configuration difficult on side. Therefore, we propose edge-cloud offloading mechanism, which each server offload tasks back-end cloud ensure quality of both high- low-priority traffic. this paper, establish queuing system model behaviors. Based formulation our model, Knapsack Potential Game (KPG) derive an optimal ratio balance cost-effectiveness overall system. We demonstrate KPG has computational complexity outperforms two baseline algorithms. The results indicate KPG’s performance provides theoretical guideline operators while designing their strategies without large-scale implementation.