The invention discloses a statistical-prediction-based automatic cloud CDN (
Content Delivery Network) resource deployment method which comprises the steps of: predicting a load prediction value in a next 24h according to history data of a load of each
edge node of a CDN, formulating a virtual
server resource deployment plan of a corresponding
edge node, carrying out virtual
server resource deployment on each
edge node of a cloud CDN; monitoring a load condition of each edge node of the cloud CDN in real time, when the cloud CDN is in a user visit rush time, mounting mirror images configured with relevant businesses to
virtual servers by a cloud platform, and starting so as to be added in each edge node of the cloud CDN for sharing burst visit pressure; and when the cloud CDN is in a non-visit rush time, only preserving the virtual
server which can keep business operate at a
normal level, and recovering idle virtual server resources to a
resource pool. According to the statistical-prediction-based cloud CDN resource automatic deployment method, the burst business rush time can be effectively dealt, the
resource utilization rate of the CDN is increased, and the
energy consumption and the maintenance and operation cost of the CDN are lowered.