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CC*DNI Networking Infrastructure: A Dedicated High-Speed Campus Research Network

CC*DNI Networking Infrastructure: A Dedicated High-Speed Campus Research Network
CC*DNI 网络基础设施:专用高速校园研究网络
批准号:
1541310
负责人:
Purushotham Bangalore
金额:
$49.84万
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 2017-12-31

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项目成果

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中文摘要
翻译
为了满足传输各种仪器和计算模拟生成的大量数据不断增长的需求,该项目的重点是在阿拉巴马大学伯明翰分校(UAB)开发专用的高速研究网络。该网络基础设施为 UAB 的研究人员提供了从选定计算机到共享计算设施的每秒 10 吉比特 (Gbps) 的连接。它可将校园数据传输速度加快至少 10 倍,并为研究人员通过校园 Internet2 连接从外部数据存储库和国家计算资源(例如 XSEDE 和开放科学网格)下载/上传大型数据集提供 10 Gbps 的数据传输速率。使用 perfSONAR 监控网络性能,并通过使用专用数据传输节点支持高速数据传输。该基础设施还用于探索软件定义网络(SDN)技术。该高速研究网络为研究人员及其研究生提供了更快地访问最先进的网络基础设施的机会,从而加速了他们的研究并提高了他们的研究生产力。该基础设施支持生物学、物理学、材料科学、图像分析、云计算和生物医学工程领域的多项重要研究活动,每个项目都在各自的科学和工程领域产生了重大的社会影响。这些努力的基础是阿拉巴马大学对多元化学生群体和教师的坚定承诺,以及参与该项目的个别教师对培训、指导和招募女性和代表性不足群体进入科学和工程领域的长期承诺。
英文摘要
In order to accommodate the ever-increasing demand for transferring large amounts of data generated by various instruments and computational simulations, the focus of this project is to develop a dedicated high-speed research network at the University of Alabama at Birmingham (UAB). This networking infrastructure provides researchers at UAB with 10 Gigabits per second (Gbps) connections from selected computers to the shared computational facility. It accelerates campus data transfers at least 10-fold and provides access to 10 Gbps data transfer rates for researchers downloading/uploading large datasets from external data repositories and national computational resources such as XSEDE and Open Science Grid through the campus Internet2 connection. Network performance is monitored using perfSONAR and high-speed data transfer is supported through the use of dedicated data transfer nodes. This infrastructure is also used to explore Software-Defined Networking (SDN) technologies.This high-speed research network provides researchers and their graduate students with faster access to state-of-the-art cyberinfrastructure, thereby accelerating their research and improving their research productivity. Several important research activities in Biology, Physics, Material Science, Image Analysis, Cloud Computing, and Biomedical Engineering are enabled by this infrastructure and each project offers significant societal impacts in their respective areas of science and engineering. Underlying these efforts are UAB's strong commitments to a diverse student body and faculty, and long-term commitments by individual faculty involved in this project to training, mentoring, and recruiting women and underrepresented groups into science and engineering.
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