The existing optical fiber data differential scheduling strategy ignores the sorting of data nodes,which leads to the low efficiency of the scheduling model and affects the speed of data scheduling. In order to improve the optical fiber data differential scheduling ability,this paper proposes to formulate the optical fiber data differential scheduling strategy based on cloud computing and LLF algorithm. Arrange the slack queue order under the LLF algorithm to ensure that the tasks with large slack can be completed first. Based on the LLF algorithm,design the data scheduling model,find out the scope of optical fiber data scheduling,formulate the data differentiation scheduling strategy under the cloud computing environment,improve the processing capacity of queue sorting,and improve the efficiency of optical fiber data scheduling. The experimental results show that the average data computing time of the scheduling strategy is about 26.3 s,and the average data scheduling time is 18.6 s,which verifies that the proposed method can effectively improve the efficiency of data computing and scheduling.