计算机工程与应用2017，Vol.53Issue(8)：8-14,7.DOI:10.3778/j.issn.1002-8331.1610-0368
高能物理云平台中的弹性计算资源管理机制
Elastic computing resource management mechanism for high-energy physics cloud platform
摘要
Abstract
As a new resource management technology, virtualization technology is more and more widely used in the field of high-energy physics. Static virtual machine cluster mode has been unable to meet dynamic demand for computing resource of multi-job queues. To solve this problem, an elastic computing resource management system under cloud com-puting environment has been designed and implemented. The high throughput computing system-HTCondor is used to run high-energy physics jobs and the cloud computing platform-Openstack is used to manage virtual computing nodes. An elastic resource management algorithm based on dual thresholds is proposed, combined with resource quota service. A two-stage pool is designed to improve the efficiency of resource pool expansion. At present, the system has been deployed in IHEPCloud. The practical run results show that with the changes of resource demand, the system adjusts the number of virtual computing nodes dynamically. CPU utilization of the cluster is significantly increased as well.关键词
弹性计算资源管理/虚拟计算集群/高能物理计算/动态调度/HTCondor/Openstack/资源利用率Key words
elastic computing resource management/virtual computing cluster/high-energy physics computing/dynamic schedule/HTCondor/Openstack/resource utilization分类
信息技术与安全科学引用本文复制引用
程振京,李海波,黄秋兰,程耀东,陈刚..高能物理云平台中的弹性计算资源管理机制[J].计算机工程与应用,2017,53(8):8-14,7.基金项目
国家自然科学基金(No.11575223,No.11605223,No.11305192,No.11605224). （No.11575223,No.11605223,No.11305192,No.11605224）
