Based on characteristics of storage of cloud computing and computing architecture

resources storage algorithms and assignment of tasks are studied. In resource management of cloud computing

simply consider time and space complexity of algorithm

while ignoring time consuming in data link layer due to scheduling

so combined network storage perception with greedy algorithm

propose an improved greedy algorithm aimed at significantly reduce time consuming of data in data link layer. Eventually perform simulation on Cloud Sim platform in cloud environment

the obtained results is compared with general greedy algorithm

it is proved through comparative analysis that the improved greedy algorithm is shorter in time and more efficient for mission.