CC*DNI Networking Infrastructure - University of Alabama SciNet
CC*DNI 网络基础设施 - 阿拉巴马大学 SciNet
基本信息
- 批准号:1541462
- 负责人:
- 金额:$ 46.48万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-09-01 至 2018-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The University of Alabama (UA) is designing and deploying a science DMZ herein referred to as UA SciNet to support the rapid expansion in research across multiple science and engineering disciplines. UA SciNet is based on the design patterns and best practices emerging from Internet2 and ESNet. UA SciNet is a dedicated, isolated network connecting to the UA wide-area network at the campus network border. It provides 40 Gbps connections between active data-intensive science areas and high performance computing and research storage resources. It provides an initial 400% bandwidth increase for research and lays the foundation for 100 Gbps connectivity to the wide area network via the UA System Regional Optical network and Southern Crossroads services. It includes a robust performance monitoring and problem resolution component using perfSONAR. It also uses wide-area remote DMA (RDMA) to achieve high-bandwidth remote access to UA Big Data resources.The research impacted by the project includes hydro-meteorologic modeling, disaster event prediction and mitigation, human behavior, and particle physics, specifically leveraging the data-intensive operations at the recently completed National Water Center on the UA campus. This project also works in coordination with other initiatives both on campus and at the regional and state levels to ensure its effective integration and to ensure its benefits are fully leveraged. Further, the project brings unique education and training opportunities to undergraduate and graduate students, researchers and system and network professionals to the areas of advanced network infrastructure, data-intensive science, and performance monitoring and diagnostics.
亚拉巴马大学(UA)正在设计和部署一个科学DMZ,本文称为UA SciNet,以支持跨多个科学和工程学科的研究的快速扩展。 UA SciNet基于Internet 2和ESNet的设计模式和最佳实践。UA SciNet是一个专用的隔离网络,在校园网络边界连接到UA广域网。 它在活跃的数据密集型科学领域与高性能计算和研究存储资源之间提供40 Gbps连接。它为研究提供了初始400%的带宽增加,并为通过UA系统区域光网络和南部十字路口服务实现100 Gbps广域网连接奠定了基础。它包括一个强大的性能监控和问题解决组件使用perfSONAR。它还使用广域远程DMA(RDMA)来实现对UA大数据资源的高带宽远程访问。受该项目影响的研究包括水文气象建模、灾害事件预测和缓解、人类行为和粒子物理学,特别是利用最近在UA校园内完成的国家水中心的数据密集型操作。 该项目还与校园以及区域和州一级的其他举措协调工作,以确保其有效整合,并确保其效益得到充分利用。 此外,该项目还为本科生和研究生、研究人员以及系统和网络专业人员带来了独特的教育和培训机会,涉及先进的网络基础设施、数据密集型科学以及性能监控和诊断等领域。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Scott Montgomery其他文献
Viable cartilage allograft outperforms existing treatments for focal knee cartilage defects.
活软骨同种异体移植优于现有的局部膝关节软骨缺损治疗方法。
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
B. Desai;Eric Assid;Graylin Jacobs;Anouska Dasgupta;Gerard Williams;Walter Stephen Choate;Scott Montgomery;Brian Godshaw;M. Suri;Deryk Jones - 通讯作者:
Deryk Jones
Pertussis infection in childhood and subsequent Type 1 diabetes mellitus
儿童时期的百日咳感染和随后的 1 型糖尿病
- DOI:
- 发表时间:
2002 - 期刊:
- 影响因子:3.5
- 作者:
Scott Montgomery;A. Ehlin;A. Ekbom;A. J. Wakefield - 通讯作者:
A. J. Wakefield
Mill power consumption and fuel particle size distribution while co-milling bituminous coal with steam-exploded woody biomass in a conventional bowl mill
在传统碗式磨机中将烟煤与蒸汽爆破木质生物质共磨时的磨机功耗及燃料粒度分布
- DOI:
10.1016/j.powtec.2025.120678 - 发表时间:
2025-03-15 - 期刊:
- 影响因子:4.600
- 作者:
Brian Schooff;Rajarshi Roy;Regan Kuttler;Parker LaTour;Scott Montgomery;Jacob Tuttle;Gwendolyn Bennett;Brian D. Iverson;Andrew Fry - 通讯作者:
Andrew Fry
All‐cause mortality following a cancer diagnosis amongst multiple sclerosis patients: a Swedish population‐based cohort study
多发性硬化症患者癌症诊断后的全因死亡率:瑞典基于人群的队列研究
- DOI:
10.1111/ene.12710 - 发表时间:
2015 - 期刊:
- 影响因子:5.1
- 作者:
H. Roshanisefat;S. Bahmanyar;S. Bahmanyar;J. Hillert;Tomas Olsson;Scott Montgomery;Scott Montgomery;Scott Montgomery - 通讯作者:
Scott Montgomery
Ash aerosol particle size distribution, composition, and deposition behavior while co-firing coal and steam-exploded biomass in a 1.5 MWsubth/sub combustor
在 1.5 兆瓦次燃烧器中煤与蒸汽爆破生物质共燃时灰分气溶胶粒度分布、组成和沉积行为
- DOI:
10.1016/j.fuproc.2023.107674 - 发表时间:
2023-05-01 - 期刊:
- 影响因子:7.700
- 作者:
Rajarshi Roy;Brian Schooff;Xiaolong Li;Scott Montgomery;Jacob Tuttle;Jost O.L. Wendt;Kingsley Dickson;Brian Iverson;Andrew Fry - 通讯作者:
Andrew Fry
Scott Montgomery的其他文献
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