Next Generation Machine-learned Multi-modal Sensor Development
Abstract
This project focuses on utilizing Programmable Data-Plane Network (PDPN) to achieve flexible control over packet and flow levels, thus addressing current challenges within the multi-layered structure of the internet which often complicate data transfer management and degrade communication quality. By mediating between the high-level application demands for Quality of Service (QoS) and the resource management requirements at the lower layers, PDPN has a potential to significantly enhance network functionality and user experience. A critical element of this project is the establishment of a trans-Pacific PDPN testbed, which connects the Kyushu Institute of Technology (Kyutech) with the City College of New York (CCNY). This environment will enable the practical evaluation of PDPN s potential under conditions that assume real-world internet traffic scenarios, such as high bandwidth and latency environments. Using P4 programming, the project will explore innovative ways to manage network traffic more efficiently than traditional hardware-based packet processing methods.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 05, 2025
- Source ID
- FA23862414089
Entities
People
- Seung Hwan Ko
Organizations
- Air Force Office of Scientific Research
- Seoul National University
- United States Air Force