Cloud and on-premises data center usage, expenditures, and approaches to return on investment: A survey of academic research computing organizations
Cloud and on-premises data center usage, expenditures, and approaches to return on investment: A survey of academic research computing organizations
复制标题
云和本地数据中心的使用、支出和投资回报方法：学术研究计算组织的调查
DOI：
10.1145/3311790.3396642
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Stewart, Craig A.
中科院分区：
文献类型：
--
作者：
Chalker, Alan;Hillegas, Curtis W.;Sill, Alan;Broude Geva, Sharon;Stewart, Craig A.
科学和工程研究领域严重依赖计算和数据处理。历史上使用过高级计算资源的学科持续并扩大了使用，传统上不使用 HPC 的学科有了新的使用，以及数据科学、机器学习和人工智能其他领域的新使用模式。伴随这些新模式而来的是新的先进计算资源方法和途径，包括商业云资源的可用性。学术科学计算联盟 (CASC) 长期以来一直是代表学术研究人员使用计算资源的需求的倡导者，分享最佳实践并提供建议以创建国家网络基础设施，以满足美国科学、工程和其他学术计算需求。 CASC 已经完成了我们打算对学术云和数据中心使用情况以及分析网络基础设施投资回报的实践进行的第一项年度调查。第一项调查的重要发现包括以下内容：许多受访者正在对研究计算投资的回报进行某种形式的分析，但目前只有少数人向其上层管理部门报告此类分析的结果。大多数受访者正在尝试使用商业云资源，但没有受访者表示他们发现与当前方法相比，使用商业云服务可以创造经济利益。研究网络基础设施的投资水平与所提供的 CPU 核心时间的规模以及支持的研究资助的财务水平之间存在明显的相关性。同样有趣的是，几乎所有受访者都表示，他们参与了某种国家合作或国家提供的研究计算基础设施项目，并且大多数参与了学术计算相关组织，这表明高等教育机构高度参与建设和维护国家研究计算生态系统。尽管机构普遍认为到目前为止云 HPC 与当前方法相比使用成本太高，但机构仍在继续评估基于云的 HPC 服务模型。
The landscape of research in science and engineering is heavily reliant on computation and data processing. There is continued and expanded usage by disciplines that have historically used advanced computing resources, new usage by disciplines that have not traditionally used HPC, and new modalities of the usage in Data Science, Machine Learning, and other areas of AI. Along with these new patterns have come new advanced computing resource methods and approaches, including the availability of commercial cloud resources. The Coalition for Academic Scientific Computation (CASC) has long been an advocate representing the needs of academic researchers using computational resources, sharing best practices and offering advice to create a national cyberinfrastructure to meet US science, engineering, and other academic computing needs. CASC has completed the first of what we intend to be an annual survey of academic cloud and data center usage and practices in analyzing return on investment in cyberinfrastructure.Critically important findings from this first survey include the following: many of the respondents are engaged in some form of analysis of return in research computing investments, but only a minority currently report the results of such analyses to their upper-level administration. Most respondents are experimenting with use of commercial cloud resources but no respondent indicated that they have found use of commercial cloud services to create financial benefits compared to their current methods. There is clear correlation between levels of investment in research cyberinfrastructure and the scale of both cpu core-hours delivered and the financial level of supported research grants. Also interesting is that almost every respondent indicated that they participate in some sort of national cooperative or nationally provided research computing infrastructure project and most were involved in academic computing-related organizations, indicating a high degree of engagement by institutions of higher education in building and maintaining national research computing ecosystems. Institutions continue to evaluate cloud-based HPC service models, despite having generally concluded that so far cloud HPC is too expensive to use compared to their current methods.
网络基础设施、科学网关、校园桥接和云计算
DOI：
--
发表时间：
2014
期刊：
影响因子：
--
作者：
C. Stewart;R. Knepper;Matthew R. Link;M. Pierce;E. Wernert;Nancy Wilkins
通讯作者：
Nancy Wilkins
网络基础设施非财务回报评估：当前方法调查
DOI：
10.1145/3355738.3355749
发表时间：
2019
期刊：
ser HARC '19
影响因子：
--
作者：
Stewart, Craig A.;Apon, Amy;Hancock, David Y.;Furlani, Thomas;Sill, Alan;Wernert, Julie;Lifka, David;Berente, Nicholas;Cheatham, Thomas;Slavin, Shawn D.
通讯作者：
Slavin, Shawn D.
三个网络基础设施的投资回报：本地校园超级计算机、NSF 资助的 Jetstream 云系统和 XSEDE（极限科学与工程发现环境）
DOI：
--
发表时间：
2018
期刊：
International Conference on Utility and Cloud Computing
影响因子：
--
作者：
C. Stewart;David Y. Hancock;Julie A. Wernert;Matthew R. Link;Nancy Wilkins;Therese Miller;K. Gaither;Winona Snapp
通讯作者：
Winona Snapp