Research on elastic resource management for multi-queue under cloud computing environment
文献类型：期刊论文
| 作者 | Cheng ZJ(程振京); Li HB(李海波); Huang QL(黄秋兰) ; Cheng YD(程耀东); Chen G(陈刚); Cheng, Zhenjing; Li, Haibo; Huang, Qiulan; Chen, Gang; Cheng, Yaodong
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| 刊名 | Journal of Physics: Conference Series
 |
| 出版日期 | 2017 |
| 卷号 | 898期号:9页码:092003 |
| ISSN号 | 1742-6588 |
| DOI | 10.1088/1742-6596/898/9/092003 |
| 文献子类 | Proceedings Paper |
| 英文摘要 | As a new approach to manage computing resource, virtualization technology is more and more widely applied in the high-energy physics field. A virtual computing cluster based on Openstack was built at IHEP, using HTCondor as the job queue management system. In a traditional static cluster, a fixed number of virtual machines are pre-allocated to the job queue of different experiments. However this method cannot be well adapted to the volatility of computing resource requirements. To solve this problem, an elastic computing resource management system under cloud computing environment has been designed. This system performs unified management of virtual computing nodes on the basis of job queue in HTCondor based on dual resource thresholds as well as the quota service. A two-stage pool is designed to improve the efficiency of resource pool expansion. This paper will present several use cases of the elastic resource management system in IHEPCloud. The practical run shows virtual computing resource dynamically expanded or shrunk while computing requirements change. Additionally, the CPU utilization ratio of computing resource was significantly increased when compared with traditional resource management. The system also has good performance when there are multiple condor schedulers and multiple job queues. © Published under licence by IOP Publishing Ltd. |
| 会议地点 | San Francisco, CA, United states |
| 电子版国际标准刊号 | 1742-6596 |
| 会议日期 | October 10, 2016 - October 14, 2016 |
| 语种 | 英语 |
| 源URL | [http://ir.ihep.ac.cn/handle/311005/284229]  |
| 专题 | 中国科学院高能物理研究所 |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing, China 2.IHEP Computing Center, 19B Yuquan Road, Beijing; 100049, China; |
| 推荐引用方式 GB/T 7714 | Cheng ZJ,Li HB,Huang QL,et al. Research on elastic resource management for multi-queue under cloud computing environment[J]. Journal of Physics: Conference Series,2017,898(9):092003. |
| APA | 程振京.,李海波.,黄秋兰.,程耀东.,陈刚.,...&Cheng, Yaodong.(2017).Research on elastic resource management for multi-queue under cloud computing environment.Journal of Physics: Conference Series,898(9),092003. |
| MLA | 程振京,et al."Research on elastic resource management for multi-queue under cloud computing environment".Journal of Physics: Conference Series 898.9(2017):092003. |
入库方式： OAI收割
来源：高能物理研究所
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