Abstract: Deploying applications to the cloud has become an increasingly common practice in the industry,high concurrency and high traffic have become major features of most cloud applications.How to deal with the rising of the high concurrency and the surge of user traffic,to use resources reasonably,and to ensure the stable operation of the application,are important issues to solve for the cloud resource management.Considering the adjustment of resources based on monitoring data is easy to trigger the delay of resource scheduling,a dynamic scheduling method for resource adjustment based on ARIMA prediction model was proposed in this paper.The method can calculate the required resource size according to the demand of the forecast and the load capacity of the current resources scale,thus configurating or releasing the virtual machine resources.The experimental results show that the prediction model can fit the scene well.By using the predictive model,the resource scheduling algorithm can effectively guarantee the quality of cloud services in a timely and effective manner.

Key words: Cloud application,Surge in traffic,Quality of service,Prediction model,Dynamic resource scheduling