Method, apparatus and system for automatically scaling dynamic computing resources based on predicted traffic patterns

An apparatus for automatically scaling dynamic computing resource based on a predicted traffic pattern comprising:

• a processor;
• and
• a memory connected to the processor,
• wherein the memory stores program instructions for performing operations comprising,
• predicting resource according to a traffic request for each cluster configured on a workload server using a pre-trained machine learning model,
• calculating required resource by comparing available resource for each cluster with the predicted resource,
• selecting an optimal flavor according to the calculated required resource, and
• generating a template corresponding to the selected optimal flavor.

A method for automatically scaling dynamic computing resource based on a predicted traffic pattern in an apparatus including a processor and a memory comprising:

• predicting resource according to a traffic request for each cluster configured on a workload server using a pre-trained machine learning model;
• calculating required resource by comparing available resource for each cluster with the predicted resource;
• selecting an optimal flavor according to the calculated required resource;
• and
• generating a template corresponding to the selected optimal flavor.