Project Grant 2322369

Award Date 10/1/23
Completion Date 9/30/25
Dollars Obligated $500K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Lincoln, NE 68503, USA
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This National Science Foundation (NSF) award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $500,000.00 to the University of Nebraska to develop an intelligent real-time traffic analysis framework and application-aware networking capabilities. The objectives are to:

  1. Integrate online-offline machine learning approaches for real-time network traffic analysis and prediction.

  2. Implement scalable techniques for analyzing Internet-scale network flow data in real-time.

  3. Develop application-aware software defined networking (SDN) control strategies to enable greater flexibility in managing and differentiating network services for scientific data transfers.

The project aims to transform current cyberinfrastructure networking approaches by delivering innovative capabilities that leverage machine learning to optimize high-throughput distributed computing workflows. It involves collaboration with partners such as the Holland Computing Center, Open Science Consortium, Argonne National Lab, and Internet2.

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