Joint Task Offloading and Migration Scheme Based on Optimal System Benefit in Mobility-aware Multi-Access Edge Computing Network

Multi-access edge computing (MEC) is considered as an effective method to provide computing resources to nearby users. However, it is difficult to find a suitable offloading and migration scheme for computing task in high-speed movement scenario. Considering the impact of connection time between mobile user and MEC server on system performance, a MEC task processing model is constructed. A task offloading and migration scheme based on the optimal system benefit is designed by defining the system benefit function. A task offloading algorithm based on particle swarm optimization (PSO) is proposed in order to maximize the system benefit. Comprehensive consideration of communication resource, calculation resource, energy consumption, connection time, and amount of task, the best MEC servers are selected to provide services for users, and the optimal task offloaded and migration is also given. Simulation results demonstrate that the system benefit of the scheme proposed in this paper is up to 12% higher than that of its several existing schemes.