Optimal Control-Based Load Balancing Strategy for Vehicular Edge Computing Power Network
With the deployment of the Internet of vehicles and the constant emergence of intelligent vehicular applications,the computing power of vehicular terminals is no longer sufficient to meet the demand of intelligent vehicular applications.A large number of vehicular computing tasks are offloaded to the edge computing network.It has become a challenge for research on the vehicle edge computing network to ensure fast and reasonable allocation of computing tasks,reduce latency and improve user service quality.The research focuses on the resource allocation problem of vehicular task offloading,comprehensively considering factors such as the local computing latency of vehicular tasks,the computing latency in edge servers,and the network latency arising from the migration of vehicular tasks in edge clouds.We propose a load balancing method based on optimal control for vehicular edge computing network.The strategy solves the load balancing,resource allocation and task migration issues by considering the load status of the edge server and the disturbance of the computing load.Simulation results show that the load balancing effect of the strategy proposed is better than that of similar algorithms in reducing network delay,computational delay and anti-disturbance.
vehicular edge computing first networktask migrationload balancingoptimal control
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