Statistical-prediction-based automatic cloud CDN (Content Delivery Network) resource automatic deployment method
An automatic deployment and resource technology, applied in the field of communication, can solve the problems of low resource utilization rate and poor elastic expansion capacity, and achieve the effect of reducing energy consumption and operation and maintenance costs, reducing waste of resources, and improving utilization rate
Inactive Publication Date: 2012-11-28
SOUTH CHINA UNIV OF TECH
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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.
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