In order to solve the problem that the multi-objective workflow scheduling is difficult to optimize in the cloud computing environment

this paper proposes a differential flower pollination algorithm for the multi-objective workflow scheduling. The algorithm models the tasks and virtual machines in the workflow into pollen and models the complete scheduling sequence into flowers. Then it adopts a discrete flower pollination process according to the partial order relationship of the task. The simulation results show that compared with the algorithms NSGA-Ⅱ and MEOA/D

the algorithm can have higher resource utilization under the limited deadline and budget.