Abstract: High energy physics computing is a high-performance computing application,which requires a lot of computing resource.If the utilization of CPU resource is not high,it will cause the worse computing efficiency.In traditional computing environment,the static resource management leads to the difficulty to satisfy the resource requirements of different kinds of jobs such as sudden jobs,batch jobs,CPU-intensive jobs,IO-intensive jobs and so on.The paper discussed the virtualized computing system based on Openstack,which implements scheduling jobs with CPU cores,danamically schedule the resources,greatly improves the utilization of resources according to the current job and resource status.Firstly,we introduced the relative research activities including KVM performance testing and optimization,performance analysis of HEP (High Energy Physics) jobs running between KVM and physical machines and the public cloud service IHEPCloud.All of them illustrate it’s totally acceptable to make HEP jobs run in virtualized platform.Then,we demonstrated the design and implementation of virtualized computing system.Finally,the current status of the virtualized computing cluster is shown,which verifies that the performance of virtualized computing system can meet the needs of high energy physics computing.

Key words: High-performance computing,Openstack,KVM,Virtualized computing cluster