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CC-NIE Networking Infrastructure: Developing a Dedicated Research Network Infrastructure at the University of Central Florida

CC-NIE Networking Infrastructure: Developing a Dedicated Research Network Infrastructure at the University of Central Florida
CC-NIE 网络基础设施:在中佛罗里达大学开发专用研究网络基础设施
批准号:
1340919
负责人:
Rudolf Wiegand
金额:
$31.39万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-10-01 至 2015-03-31

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中文摘要
翻译
中佛罗里达大学(UCF)正在将一个新组建的专用研究网络扩展到主校区的三栋建筑,并在该研究网络上部署Internet2创新平台。该项目为在校研究人员提供对科学非军事区、软件定义的网络(包括OpenFlow)和桌面10 Gb/S端口的访问。这使得在物理和计算机科学等部门进行数据密集型研究的实验室能够使用专用研究网络,从而避免与UCF企业网络上的其他流量竞争带宽。此外,UCF正在安装PerformSonar节点以帮助监控研究网络上的流量,并安装一个节点作为软件定义网络的OpenFlow控制器。这些对UCF网络基础设施的改进改善了教师、研究生研究人员和本科生访问佛罗里达州中部研究园区设施的机会,例如斯托克斯高级研究计算中心。它还改善了佛罗里达州LambdaRail(FLR)的接入,从而加强了与佛罗里达州各地各种机构的合作。这项工作为一个专门的研究网络奠定了基础,该网络通过努力为科学界和工程界提供世界级的传播与信息工具和服务,包括那些侧重于高性能计算、数据、数据分析和可视化、天文台和虚拟组织、以及教育和劳动力发展的工具和服务,帮助UCF继续与国家科学基金会关于发现的传播与信息愿景保持一致。
英文摘要
The University of Central Florida (UCF) is extending a newly formed dedicated research network to three buildings on the main campus and deploying the Internet2 Innovation Platform on the research network. This project is providing on-campus researchers access to a Science DMZ, software-defined networking (including OpenFlow), and 10 Gb/s ports at their desktops. This enables labs with data-intensive research in departments such as Physics and Computer Science to use a dedicated research network, avoiding competition for bandwidth with other traffic on UCF's enterprise network. Additionally, UCF is installing perfSonar nodes to help monitor traffic on the research network, as well as a node to serve as an OpenFlow controller for software defined networking.These improvements to UCF's cyberinfrastructure improve access for faculty, graduate student researchers, and undergraduates to facilities in the Central Florida Research Park, such as the STOKES Advanced Research Computing Center. It also improves access to Florida LambdaRail (FLR), which enhances collaboration with a variety of institutions throughout Florida. This effort establishes the foundation of a dedicated research network, which helps UCF continue to align itself with the National Science Foundation's CI vision for discovery by working to provide the science and engineering communities with access to world-class CI tools and services, including those focused on: high performance computing; data, data analysis and visualization; observatories and virtual organizations; and education and workforce development.
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Using Coevolutionary Algorithms to Identify Distractor Answers for Multiple Choice Questions Used for Peer Instruction
Using Coevolutionary Algorithms to Identify Distractor Answers for Multiple Choice Questions Used for Peer Instruction
  • 批准号:
    2038406
  • 项目类别:
    Standard Grant
  • 资助金额:
    $22.29万
  • 财政年份:
    2020
  • 负责人:
    Rudolf Wiegand
  • 依托单位:
Collaborative Research: Scalable scaffolding of novice programmers' learning and automated analysis of their online activities
CC*IIE Engineer: Bridging Campus IT and Research Computing at UCF
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