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CC*DNI Networking Infrastructure: Montana State University's Bridger-A Science-Driven Networking Cyberinfrastructure

CC*DNI Networking Infrastructure: Montana State University's Bridger-A Science-Driven Networking Cyberinfrastructure
CC*DNI 网络基础设施:蒙大拿州立大学的 Bridger-A 科学驱动的网络网络基础设施
批准号:
1541252
负责人:
Jerry Sheehan
金额:
$47.06万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-01-01 至 2018-12-31

项目摘要

项目成果

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中文摘要
翻译
专门的研究网络构成了数据密集型科学的关键基础。这些网络帮助研究人员共享数据、创造知识和交流科学发现。蒙大拿州立大学的这个项目在Bozeman校园部署了一个科学非军事区(DMZ)网络形式的专用研究网络。增强功能包括:新的40Gb/s内核;10gb /s数据密集型科学仪器连接;以及连接各个大数据实验室和工作站的1Gb/s连接。Bridger为科学研究创建了一条专用的“数据通道”,为蒙大拿州nsf资助的科学驱动者提供了更高效和有效的数据共享给国家社区。该网络支持NSF对主要研究仪器、全州EPSCOR环境网络以及生物、化学和物理项目的前期投资。该项目更广泛的影响集中在数据科学课程和正式的现有nsf资助的外展项目中创建的数据的重用,包括蒙大拿州女孩STEM协作和纳米尺度非正式科学教育网络。bridge项目展示了一种易于复制的解决方案,其他州立大学可能会效仿,以解决数据密集型科学对校园网络的深远影响。
英文摘要
Dedicated research networks form the crucial foundations for data-intensive science. These networks help researchers share data, create knowledge, and communicate scientific discoveries. This project from Montana State University deploys a dedicated research network in the form of a science demilitarized zone (DMZ) network across the Bozeman campus. The enhancements include: a new 40Gb/s core; 10 Gb/s connections to data-intensive scientific instruments; and 1Gb/s connections to individual big data labs and workstations.Bridger creates a dedicated "data lane" for scientific research, allowing more efficient and effective data sharing to the national community for NSF-funded science drivers at Montana State. This network supports prior investments made by NSF in a major research instrument, a statewide EPSCOR environmental network, and projects in biology, chemistry, and physics. The project's broader impact is focused on the reuse of created data in data science curricula and formal existing NSF-funded outreach programs, including Montana Girls STEM Collaborative and the Nanoscale Informal Science Education Network. The Bridger project demonstrates an easily replicated solution that other state universities may copy to address the profound impact that data-intensive science is having on campus networks.
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CC* Regional Computing: The California State University System Technology Infrastructure for Data Exploration
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