New Capabilities for Self-Driving Networks
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Date
Authors
Rudolph, Nolan
Journal Title
Journal ISSN
Volume Title
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Abstract
Granted the annual trends in
increasing internet usage, the University of
Oregon Networking Research Group
preemptively researches the concept of
Self-Driving Networks (S-DNs) to create a
self-remediating, high-performance network.
In efforts of accomplishing this project, the
lack of S-DN compatible software compels
new research to be conducted on new
capabilities for a self-driving network. In this
project, we accomplish a light-weight
visualization framework for flow level data
accompanied by a scalable flow to packet
generator usable by S-DNs.
Description
Project files are comprised of 12 page pdf and presentation recording in mp4 format.
Keywords
Network, NetFlow, eBPF, Automation, Programming, 2020 URS Data Stories