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CC-NIE Integration: Houston, We have Troubleshooting for the 100 Gbps Network!

CC-NIE Integration: Houston, We have Troubleshooting for the 100 Gbps Network!
CC-NIE 集成:休斯顿,我们对 100 Gbps 网络进行故障排除!
批准号:
1341019
负责人:
Deniz Gurkan
金额:
$90.0万
依托单位:
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:
2013-09-15 至 2016-08-31

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中文摘要
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英文摘要
The project, Houston-Cyberinfrastructure (HoustonCI), establishes a flow separation and analysis system for the University of Houston campus network while enabling high bandwidth data transfers from domain science laboratories on the University of Houston and Rice University campuses. These laboratories all connect to the regional networks LEARN (Lonestar Education and Research Network, Texas-wide network with over 30 institution members), SETG (SouthEast Texas Gigapop, Houston-based fiber loop with University of Houston, Rice University, Texas Medical Center, and other institutional members in Houston area), GENI (Global Environment for Network Innovation), and Internet2 100 Gbps software-defined network (SDN). In this respect, the project has two objectives: (i) leverage software-defined networking (SDN) to separate flows for better monitoring of where high data transfer needs and network issues are; and (ii) pave the way towards connecting with 100 Gbps cyber-infrastructure of Internet2. The research and development effort is in the creation of a troubleshooting framework that utilizes OpenFlow protocol flow definitions.The impact of the project will be on campus network engineers having a deeper exposure to network utilization by science data transfers. On one hand, such a troubleshooting capability will better the network design and planning processes on campuses. On the other hand, the domain scientists will be able to communicate science data transfer needs with network engineers. SDN will enable effective allocation of bandwidth with savings in campus networking investments by institutions. The research methods and results will be tested and demonstrated by utilizing the GENI infrastructure as an experimentation testbed.
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CC* Integration-Small: Integrating Application Agnostic Learning with FABRIC for Enabling Realistic High-Fidelity Traffic Generation and Modeling
  • 批准号:
    2419070
  • 项目类别:
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  • 资助金额:
    $30.0万
  • 财政年份:
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  • 负责人:
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  • 依托单位:
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 负责人:
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
    $34.58万
  • 财政年份:
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  • 负责人:
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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