dc.contributor.advisor |
Durairajan, Ramakrishnan |
|
dc.contributor.author |
Rudolph, Nolan |
en_US |
dc.date.accessioned |
2020-06-04T21:44:24Z |
|
dc.date.available |
2020-06-04T21:44:24Z |
|
dc.identifier.uri |
https://scholarsbank.uoregon.edu/xmlui/handle/1794/25364 |
|
dc.description |
Project files are comprised of 12 page pdf and presentation recording in mp4 format. |
en_US |
dc.description.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. |
en_US |
dc.description.sponsorship |
Vice President for Research and Innovation Fellowship from UROP (https://urop.uoregon.edu/vpri-fellowship/) |
|
dc.rights |
Creative Commons CC0 1.0 Universal |
en_US |
dc.subject |
Network |
|
dc.subject |
NetFlow |
|
dc.subject |
eBPF |
|
dc.subject |
Automation |
|
dc.subject |
Programming |
|
dc.subject |
2020 URS Data Stories |
|
dc.title |
New Capabilities for Self-Driving Networks |
en_US |
dc.identifier.orcid |
https://orcid.org/0000-0002-8062-6614 |
|