Resource allocation strategies are an important research hotspot in cloud computing. How to consider the benefits of both cloud users and cloud providers, effectively meet the fairness requirement of system users and tasks, and make full use of system resources as much as possible are the main objectives. Considering the diverse user requirements in the cloud environment, each user requests a different number of tasks, and the resource requirements of each task are also different, we design a fair allocation strategy based on preference (FABP) and  define the concepts of user priority and task priority. Experimental results show that the algorithm can not only reduce the average task scheduling time, but also ensure the fairness of users and tasks and maximize the utilization of comprehensive resources.