FermiCloud下的自动云爆发

Hao Wu, Shangping Ren, G. Garzoglio, S. Timm, G. B. Altayo, Hyunwoo Kim, K. Chadwick, H. Jang, S. Noh
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引用次数: 21

摘要

云计算正在改变科学计算所依赖的基础设施,从超级计算机和分布式计算集群转向更具弹性的基于云的结构。云的服务导向和弹性不仅可以满足新兴业务的技术需求,还可以缩短传统科学应用的响应时间和降低运营成本。费米国家加速器实验室(Fermilab)目前正在建设自己的私有云FermiCloud,它允许现有的网格基础设施使用FermiCloud上动态配置的资源,以适应高能物理(HEP)和其他研究领域科学家不断增加的动态计算需求。云基础设施还允许在需要时通过从其他社区或商业云借用或租用资源来“爆发”,从而增加私有云的资源容量。本文介绍了费米国家加速器实验室和韩国科学技术信息研究所建立云联盟以支持HEP应用的联合项目,伊利诺伊理工学院提供了技术支持。本文特别介绍了联合项目的两项最新成果:(a)云爆发自动化和(b)负载平衡器。自动云爆发允许动态地重新配置计算机资源以满足用户的需求。云爆发所依赖的负载平衡算法决定了何时何地需要分配新资源。我们的初步原型和实验已经显示出有希望的成功,然而,它们也开启了新的挑战,需要研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Cloud Bursting under FermiCloud
Cloud computing is changing the infrastructure upon which scientific computing depends from supercomputers and distributed computing clusters to a more elastic cloud-based structure. The service-oriented focus and elasticity of clouds can not only facilitate technology needs of emerging business but also shorten response time and reduce operational costs of traditional scientific applications. Fermi National Accelerator Laboratory (Fermilab) is currently in the process of building its own private cloud, FermiCloud, which allows the existing grid infrastructure to use dynamically provisioned resources on FermiCloud to accommodate increased but dynamic computation demand from scientists in the domains of High Energy Physics (HEP) and other research areas. Cloud infrastructure also allows to increase a private cloud's resource capacity through "bursting" by borrowing or renting resources from other community or commercial clouds when needed. This paper introduces a joint project on building a cloud federation to support HEP applications between Fermi National Accelerator Laboratory and Korea Institution of Science and Technology Information, with technical contributions from the Illinois Institute of Technology. In particular, this paper presents two recent accomplishments of the joint project: (a) cloud bursting automation and (b) load balancer. Automatic cloud bursting allows computer resources to be dynamically reconfigured to meet users' demands. The load balance algorithm which the cloud bursting depends on decides when and where new resources need to be allocated. Our preliminary prototyping and experiments have shown promising success, yet, they also have opened new challenges to be studied.
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