In the era of explosive growth of communication equipment, mobile edge computing is a core 5G communication technique, and it is important to allocate resources reasonably. The idea of mobile edge computing is to sink cloud computing centers to the base station deployment (edge cloud) and to bring cloud computing centers closer to users to quickly solve the problem of computing resource allocation. However, compared with large cloud computing centers, the computing resources of the edge cloud are limited, and the traditional virtual machine allocation method cannot flexibly deal with the problem of computing resource allocation of the edge cloud. To solve this problem, we propose a dynamic computing resource and spectrum allocation algorithm (DRFAA) based on users’ comprehensive needs. It adopts the “divide and conquer” strategy, and simulates resources into "fluid" resources for allocation  so as to seek for a larger throughput and a lower transmission delay. Simulation results show that the dynamic computing resource and spectrum allocation algorithm can effectively reduce the transmission delay between the user and the edge cloud, and also improve the throughput of the edge cloud.