Project Grant DESC0019683

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: Integrate online-offline machine learning approaches for real-time network traffic analysis and prediction. Implement scalable techniques for analyzing Internet-scale network flow data in...

This $600,000 Project Grant award from the National Science Foundation's Division of Computer and Network Systems will support Purdue University's research to enable real-time, high-bandwidth network traffic analysis using machine learning on programmable switches. The project aims to develop novel methods for efficiently mapping popular ML models like decision trees and neural networks onto programmable switch hardware, as well as new switch primitives for computing flow statistics. This will...

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 Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports the development of advanced computational methods for tracking and analyzing evolving patterns in large-scale networks. The $270,000 award will fund research to create scalable and accessible tools for dynamic network analysis, which can enable early detection of disease outbreaks, improved understanding of social dynamics, and...

This $123,859 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) project grant award to the University of California, Santa Barbara (UCSB) aims to develop a closed-loop machine learning (ML) pipeline that iteratively refines training data collection to improve the generalizability of ML models for network operations. The project has two main thrusts: (1) designing a programmable data-collection platform to enable flexible and scalable training data...

The National Science Foundation (NSF) Division of Computer and Network Systems awarded Duke University a $300,000 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070). The goal of this 2-year EAGER (Early-concept Grants for Exploratory Research) project is to leverage an existing testbed in the Duke-Durham Research Triangle to investigate fiber sensing-based heterogeneous traffic monitoring and its integration with data communication networks. The...

This National Science Foundation Project Grant of $100,000 supports the development of a programmable closed-loop measurement platform for last-mile networks. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the award brings together researchers from the University of California, Santa Barbara and the University of Chicago from October 1, 2022 to September 30, 2023. The project aims to explore the feasibility of a scalable data collection platform that...

This $400,000 National Science Foundation project grant supports research at Northwestern University to develop edge-based streaming analytics capabilities. The Computer and Information Science and Engineering program aims to advance computing and information sciences, and this three-year award will fund research to enable analytical processing of user requests directly at network edges using semantic cookies. Principal investigators will revise streaming analytics foundations, design and...

This Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $249,965 to the University of Massachusetts Lowell for research titled "COLLABORATIVE RESEARCH: OAC CORE: FAST TOOLS FOR COMPLEX EVENT DETECTION OVER BIPARTITE GRAPH STREAMS" from September 1, 2021 to August 31, 2024. The grant funding will support the development of new tools and techniques for...

This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) is focused on developing a cross-layer monitoring and analytics framework to enable application-aware root-cause analysis for service disruptions. The $600,000 award to the University of California, Davis will fund the establishment of an optical testbed, the implementation of network layer integration and monitoring, and the...