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: Montana State University
• 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
• 起止时间: 2016-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1541252&HistoricalAwards=false
• 关键词: CC; DNI; Networking; Infrastructure; Montana

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.

专门的研究网络构成了数据密集型科学的关键基础。这些网络可帮助研究人员共享数据，创建知识并传达科学发现。该项目来自蒙大拿州立大学，以科学非军事区（DMZ）网络的形式部署了一个专门的研究网络。增强功能包括：新的40GB/s核心；与数据密集型科学仪器的连接10 GB/S连接； Bridger为科学研究创建了专门的“数据车道”，并为NSF资助的蒙大拿州的NSF资助的科学驱动程序提供了更有效的数据共享。该网络支持NSF在主要的研究工具，全州EPSCOR环境网络以及生物学，化学和物理学项目中进行的先前投资。该项目的更广泛的影响着重于在数据科学课程和正式现有NSF资助的外展计划中重新使用创建的数据，包括蒙大拿州Girls STEM协作和纳米级非正式科学教育网络。布里奇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复制该解决方案，以解决数据密集型科学对校园网络的深远影响。