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CC-NIE Networking Infrastructure: Configurable, High-Speed, Extensible Research Bandwidth (CHERuB)

CC-NIE Networking Infrastructure: Configurable, High-Speed, Extensible Research Bandwidth (CHERuB)
CC-NIE 网络基础设施:可配置、高速、可扩展的研究带宽 (CHERuB)
批准号:
1340964
负责人:
Michael Norman
金额:
$50.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-01-01 至 2016-12-31

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中文摘要
翻译
可配置、高速、可扩展的研究带宽(Cherub)项目将加州大学圣地亚哥分校(UCSD)和圣地亚哥超级计算机中心(SDSC)连接到100Gbps的国家研究网络,用于数据驱动的科学和工程领域的协作研究。Cherub支持跨研究网络的多机构数据传输,如Internet2和ESnet,用于分析和分布式计算,如SDSC的Gordon项目提供的分析和分布式计算,以及协作,如由UCSD的LHC Tier-2站点促进的协作。它包括升级校园网关,以支持CEEN在圣地亚哥和Pacific Wave的100G区域研究网络集体之间新安装的100G管道,以及校园内的基础设施,以促进有针对性的研究活动的高速访问。CHERuB通过在研究人员和国家网络之间提供高带宽连接,促进大型宇宙学、大气科学、高能物理和其他领域的知识进步。该项目允许科学仪器高效传输大数据,消除了网络在科学发现过程中的瓶颈。简化了模拟、可视化、测量和交互式实验。探索OpenFlow/Oscar与真实世界数据流的协调将帮助其他研究用户了解如何最好地为大型管道/大数据设置项目。除了最初的科学驱动因素外,Cherub还建立了基础设施,为校园和全国各地的其他研究项目提供服务。加州大学圣迭戈分校通过Cherub与其他校园分享了我们通过国家网络基础设施传输和处理大数据的知识。高带宽使跨机构和地点的新教学活动成为可能,例如远程医疗和分布式远程学习。
英文摘要
The Configurable, High-speed, Extensible Research Bandwidth (CHERuB) project connects the University of California, San Diego (UCSD) and the San Diego Supercomputer Center (SDSC) to national research networks at 100Gbps for collaborative research in data-driven science and engineering. CHERuB supports multi-institutional data transit over research networks such as Internet2 and ESnet for analysis and distributed computing, such as that provided by SDSC's Gordon project, and collaboration, such as that facilitated by UCSD's LHC Tier-2 site. It includes an upgrade of the campus gateway to support CENIC's newly-installed 100G pipe between San Diego and Pacific Wave's 100G regional research network collective, and intra-campus infrastructure to facilitate high-speed access by targeted research activities.CHERuB enables advancement of knowledge in large cosmology, atmospheric science, high-energy physics and other fields by providing high-bandwidth connectivity between the researcher and national networks. The project allows scientific instruments to efficiently transport big data, removing the network as bottleneck in the course of scientific discovery. Simulation, visualization, measurement, and interactive experimentation is streamlined. Exploration of OpenFlow/OSCARS coordination with real-world data flows will help other research users understand how best to set up projects for large pipes/big data.Beyond the initial science drivers, CHERuB establishes infrastructure to serve additional research projects on campus and across the country. UCSD shares what we learn via CHERuB about transmission and processing of big data across the national network infrastructure with other campuses. High bandwidth makes possible new instructional activities that cross institutions and locations, such as telemedicine and distributed distance learning.
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