A PERFORMANCE ANALYSIS MODEL FOR CLOUD-BASED PARALLEL APPLICATIONS
Because deploying high-performance computing is relatively expensive,people use cloud computing as an alternative.However,due to resource sharing,the processing of cloud access and the delay of network resources are increased.As a result,the cloud is an unpredictable environment for long-term runtime programs.Therefore,modeling and understanding performance are critical to developing this environment.This paper provides a predictor for the execution time of an application based on a message passing interface on the cloud.Based on the performance analysis model,the predictor treated cloud resources as a queuing network and parallel applications as tasks competing for shared resources.Experiments show that the overall accuracy of this proposed method is 89%.