Mobile edge computing extends cloud computing capabilities to the edge of the network to deliver services around mo-bile users.In order to solve the problem of service interruption caused by user movement and limited coverage of edge nodes,this paper proposes a task migration algorithm that integrates the depth deterministic policy gradient of priority experience playback.In this paper,the task processing delay and energy consumption are taken as the optimization objectives,and the task migration and resource allocation problem are modeled as a Markov Decision Process,and the intelligent body makes the resource allocation and migration decision-making scheme according to the proposed policy.The results of simulation experiments show that the designed task migration strategy has superior performance in terms of task execution success rate and delay and energy consumption.
关键词
深度强化学习/边缘计算/移动性/任务迁移
Key words
deep reinforcement learning/edge computing/mobility/task migration
维普
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