Cloud Monitoring Data Analysis and Simulation Based on Machine Learning

Abstract

With the rapid development of Internet technology, cloud computing has gradually been widely used in people's lives. However, due to the huge and complex data volume, limited storage space and maintenance difficulties, there are still some problems in cloud monitoring data analysis. This paper intends to use the combination of machine learning to study the analysis and experimental simulation of cloud monitoring data, in order to improve the data processing ability of the monitoring system. This paper mainly uses the experimental analysis method and information entropy to study the cloud monitoring system and its data processing and analysis capabilities. The experimental data show that the error of computer tools is less than 6%, which shows that the method is feasible and worthy of application.