Project Grant 2504569
- This Project Grant award of $720,000 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports a collaborative research project between the Massachusetts Institute of Technology (MIT) and the University of Washington. The project aims to develop new machine learning-based models that can quickly and accurately predict the performance of computer networks, overcoming the trade-offs of traditional network modeling approaches. The research...
- This Project Grant award of $149,999.00 was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The funding supports the development of innovative, machine-learning-driven network congestion control algorithms tailored for large-scale disaggregated storage systems (DSSS) used in modern data centers. The project aims to help data flow smoothly during peak demand, reducing delays and energy...
- This $100,001 Project Grant award was provided by the National Science Foundation's Division of Computing and Communication Foundations under the CFDA 47.070 Computer and Information Science and Engineering program. The grant supports a collaborative research project between the University of California, Los Angeles (UCLA) and researchers from the University of Michigan and Merit Network. The key objectives are to: Develop new statistical methodology for detecting and mapping network delays,...
- The National Science Foundation (NSF) awarded a $430,998 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the Regents of the University of Michigan. The grant, with a period of performance from January 1, 2025 to July 31, 2029, supports the development of a "Platform for Per-Packet AI using Heterogeneous Data Planes." The research aims to create new data plane architectures, declarative frameworks, and applications to enable datacenter...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering program (CFDA 47.070) provides $600,000 in funding to The Trustees of Princeton University's Office of Research and Project Administration to develop innovative technologies for fine-grained network monitoring. The key objectives are to create a software component called a Telemetry Imputation Layer (TIL) that can recover detailed network performance data from limited sampling,...
- This $174,925 Project Grant award, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports the development of advanced data transfer optimizations and monitoring systems for high-performance computing networks used in scientific research. The key objectives are to: (i) implement a robust monitoring framework to enhance system visibility and enable global optimization and fair resource allocation; (ii) create a...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of California, Davis. The grant, awarded on June 15, 2025, will fund a 3-year project to develop cross-layer monitoring and analytics capabilities for application-aware root-cause analysis of service disruptions in application-centric networking environments. The project will investigate machine learning techniques to...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program aims to develop software frameworks that can efficiently serve and deploy machine learning models for a variety of AI-powered applications. The $600,000 award, spanning from October 2024 to September 2027, tasks the prime awardee, Georgia Tech Research Corporation, with creating agile mechanisms and policies to serve a family of AI models across...
- This Project Grant award of $400,000 from the National Science Foundation's Division of Computer and Network Systems supports research at the University of North Carolina at Chapel Hill (UNC) to develop techniques for monitoring network traffic and estimating Internet performance experienced by users. The project aims to design deep learning frameworks for classifying end-user segments based on access networks, client platforms, and application usage, as well as online sampling, hashing, and...
- This federal Project Grant award of $493,388, awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program, supports a collaborative research project titled "LANDS - Learning-Based Adaptive Networked Systems for Delivery of Short Videos." The project aims to improve the efficiency and understanding of short-video systems, which have become increasingly popular for delivering various types of content to billions of users globally....
This federal Project Grant award, valued at $360,000.00 and spanning August 1, 2025 to July 31, 2028, was provided by the Division of Computer and Network Systems within the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The grant supports a collaborative research project between investigators at the Massachusetts Institute of Technology and the University of Washington focused on developing new machine learning models to quickly and accurately predict computer network performance. The key products or services to be delivered include: The broader impacts of this research are expected to benefit both industry and education through enhanced data center efficiency, improved quality of service, reduced operational costs, and decreased environmental impact.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $360.0k | 7/18/25 |