从北欧eScience用户角度的实用云评估

Åke Edlund, M. Koopmans, Z. A. Shah, I. Livenson, F. Orellana, Jukka Kommeri, M. Tuisku, P. Lehtovuori, K. M. Hansen, Helmut Neukirchen, E. Hvannberg
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引用次数: 7

摘要

在本文中,我们描述了NEON项目(一个跨北欧的项目,包括瑞典、挪威、丹麦、芬兰和冰岛)的研究结果,该项目评估了私有云服务与公共云服务对高性能计算用户的有用性。我们的结论是,私有云技术还不够成熟,无法提供透明的用户体验。预计这种情况将在2012年中期出现。公共云和私有云的成本效率都有明显的下降趋势,应该持续监控。这一结论得到了NEON实验以及StratusLab报告等更大项目的支持。公共云技术已经足够成熟,但缺乏某些必要的功能,如挪威NOTUR (www.notur.no)案例中以透明的方式将云资源包含在国家基础设施中,例如配额管理。这些功能预计将在2011年通过第三方管理软件和最好的公共云服务出现。在低端的非高性能计算任务(低内存、低核数)中,公共云在价格上具有竞争力。在当前北欧超级计算机基础设施上运行的作业中,有很大一部分(约20%)可能适合类似云的技术。这尤其适用于具有中小型内存需求和非密集I/O的单线程或单节点作业。由于超级计算机基础设施上的非高性能计算工作,真正的超级计算机工作积压了。将这些非高性能计算任务转移到公共云将有效地增加超级计算能力。另一个发现是可用的存储容量不能以用户友好的方式访问;大多数存储云只能通过可编程接口访问。提出了一些实验和试点来支持这些主张。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Practical cloud evaluation from a nordic eScience user perspective
In this paper, we describe the findings of the NEON project - a cross-Nordic - Sweden, Norway, Denmark, Finland and Iceland - project evaluating the usefulness of private versus public cloud services for HPC users. Our findings are briefly that private cloud technology is not mature enough yet to provide a transparent user experience. It is expected that this will be the case mid 2012. The cost efficiency of both public and private cloud should be continuously monitored as there is a strong downward trend. This conclusion is supported by NEON experimenting as well as larger initiatives e.g. StratusLab reports. Public cloud technology is mature enough but lacks certain features that will be necessary to include cloud resources in a transparent manner in a national infrastructure like the Norwegian NOTUR (www.notur.no) case, e.g. with respect to quota management. These features are expected to emerge in 2011 via third party management software and in the best of breed public cloud services. Public clouds are competitive in the low end for non-HPC jobs (low memory, low number of cores) on price. A significant fraction (ca. 20%) of the jobs running on the current Nordic supercomputer infrastructure are potentially suitable for cloud-like technology. This holds in particular for singlethreaded or single-node jobs with small/medium memory requirements and non-intensive I/O. There is a backlog of real supercomputer jobs that suffers from the non-HPC jobs on the supercomputer infrastructure. Off-loading these non-HPC jobs to a public cloud would effectively add supercomputing capacity. Another finding is that available storage capacity is not accessible in a user-friendly way; most storage clouds are only accessible via programmable interfaces. A number of experiments and piloting are presented to support these claims.
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