Resource awareness computing migration method and device based on particle swarm algorithm, and medium

The invention discloses a resource awareness computing migration method based on a particle swarm algorithm, which comprises the following steps: judging a precursor subsequent relationship of a subtask in each input workflow, and then integrating and reconstructing each workflow to obtain a global model of a complex workflow; based on a particle swarm optimization algorithm, taking system energyconsumption and time delay as optimization objectives, continuously updating a particle speed, a particle position and a particle fitness function through iteration, and finally obtaining a migrationstrategy of particles after multi-objective optimization; and further, according to the current system energy consumption, the system time delay and the resource utilization rate of the edge server, performing a new round of resource configuration on the system after each migration strategy is determined, thereby realizing three-objective optimization of the energy consumption, the time delay andthe resource utilization ra