Resource Monitoring and Optimization System on Private Cloud Platform
摘要
For enterprise level private cloud systems,thousands of virtual machine instances are deployed on multiple data centers across the nation,which will generate massive raw data for the monitoring system to persist and process.This makes a significant pressure on computing,storage and network for monitoring system providing real-time monitor and statistical reports.Aiming at this problem,this paper designs a monitoring system for large scale private cloud by using whole set of big data method which makes the work distributed to solve the challenge mentioned above.Meanwhile,with the collected monitoring data,it uses thermal migration mechanism to reduce the waste of physical resources caused by unevenly distribution.Experimental result shows that this system can satisfy real-time monitoring as well as offline statistics and enhance above 13% physical resource utilization rate.