Resource placement and caching method and system based on data popularity in cloud wireless access network, and storage medium

The invention provides a resource placement and caching method and system based on data popularity in a cloud wireless access network, and a storage medium. The method comprises the following steps: acquiring cache capacities such as the number of mobile users, the number of base stations and a server; traversing the data demand of each mobile user; caching the data to a task queue according to the communication relationship of the mobile user task, and judging whether the demand of the data comes from a local server or an edge server; requesting data required by each mobile user according to the demand source, and placing a task on the corresponding demand source; calculating the popularity of the demand data; a mathematical model with multiple constraint conditions is established for the storage distribution and placement problem of task data, and an optimal solution of the data task cache and content placement problem is obtained; determining the placement of task resource contents by considering the data