MULTI-USER MULTI-MEC TASK UNLOADING RESOURCE SCHEDULING METHOD BASED ON EDGE-END COLLABORATION

摘要

Disclosed is a multi-user multi-MEC task unloading resource scheduling method based on edge-end collaboration. The method comprises the following steps: step 1, task analysis: analyzing task completion time delay, and determining task completion benefits; step 2, problem formation: forming an optimization problem by taking maximization of total benefits of task completion as a target; step 3, steady state ensuring: ensuring stability of a task backlog queue to simplify the problem; step 4, channel allocation: providing a task unloading allocation policy to determine optimal channel allocation; step 5, task scheduling: providing a channel resource allocation policy to determine optimal task scheduling; and step 6, joint optimization: combining steps 4 and 5 to obtain optimal channel allocation and task scheduling. According to the present invention, service diversity is fully considered, and priority division is carried out on tasks, such that user side earnings are improved to the maximum extent, and multi-user multi-MEC task unloading resource scheduling is achieved.