Resource Monitoring and Prediction in Cloud Computing Environments

Abstract

Cloud computing provides elastic, scalable resource sharing service by resource management. Resource monitoring and prediction are the foundation to achieve resource automation, high performance management in cloud computing environment. This paper addresses the resource monitoring and prediction problem in cloud computing environment, designs and implements an adaptive resource monitoring framework for cloud computing, and presents a resource prediction mechanism based on Vector Auto Regression (VAR) by the correlation between various resources. Related experiments show that the proposed resource monitoring framework can effectively monitor the resource usage in cloud computing environment, and prediction mechanism based on vector auto regression compared to other prediction mechanism could be more effective to predict resource usage.