This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $509,212 to Cornell University supports a collaborative research project on the foundations of oblivious reconfigurable networks. The project aims to develop new theoretical frameworks and prototype systems for reconfigurable networking architectures, which can dynamically adjust connectivity patterns to efficiently route data in datacenters. The research...
This $800,000 federal Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070) will fund the design, implementation, and deployment of PRONET, a testbed to support cutting-edge research for managing high-speed Science DMZ network traffic. The key objectives of the project are to: (i) enable real-time monitoring and analysis of terabits per second of research network traffic to support operational and...
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 $1.2 million project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) supports research to evaluate and address security and privacy threats to programmable networks. Awarded to Cornell University on July 1, 2021 for a three-year period concluding September 30, 2024, the grant funds three main research thrusts. The first focuses on implementing secure and privacy-preserving algorithms on programmable switches. The second...
The National Science Foundation Division of Computer and Network Systems awarded a $544,061 Project Grant to the International Computer Science Institute under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for the period of March 1, 2023 through February 28, 2026. The grant will support research to develop an extensible Internet architecture through interposition at the network layer. The grantee will insert a new layer between the network and transport...
This $300,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at the University of California, Santa Cruz (UCSC) on developing consolidated data plane management tools for network functions (NFs). The project aims to design efficient algorithms and data structures to automatically manage the deployment and resource usage of multiple co-existing NFs, which are crucial for managing...
This $300,000 Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports collaborative research on Application Defined Networking (ADN) for cloud computing. The objective is to enable high-performance and efficient communication between microservices in cloud applications by allowing developers to specify communication needs at a high level, which can then be automatically optimized and implemented...
This three-year, $600,000 Project Grant from the National Science Foundation's Division of Computer and Network Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will support the development of causal reasoning techniques to optimize network performance and answer "what-if" questions about potential network design changes using passively collected data. The grant recipient, Purdue University, will develop causal dependency graphs for...
This three-year National Science Foundation project grant of $567,981 supports new research directions in network design at The Johns Hopkins University from November 2022 to October 2025. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the grant will advance three areas of network design not previously studied at scale: demand-aware topology design for new reconfigurable network technologies; optimization of graph-theoretic objects like geometric...
This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program totaling $187,180 will support research into hybrid switching in data center networks from October 1, 2022 through July 31, 2023. The grant recipient, Princeton University, will develop systems-driven modeling and principled algorithms to address the challenges of fast, dynamic switching capabilities needed to meet rapidly growing and changing traffic demand patterns in...