New Capabilities for Self-Driving Networks

dc.contributor.advisorDurairajan, Ramakrishnan
dc.contributor.authorRudolph, Nolanen_US
dc.date.accessioned2020-06-04T21:44:24Z
dc.date.available2020-06-04T21:44:24Z
dc.descriptionProject files are comprised of 12 page pdf and presentation recording in mp4 format.en_US
dc.description.abstractGranted 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.sponsorshipVice President for Research and Innovation Fellowship from UROP (https://urop.uoregon.edu/vpri-fellowship/)
dc.identifier.orcidhttps://orcid.org/0000-0002-8062-6614
dc.identifier.urihttps://hdl.handle.net/1794/25364
dc.rightsCreative Commons CC0 1.0 Universalen_US
dc.subjectNetwork
dc.subjectNetFlow
dc.subjecteBPF
dc.subjectAutomation
dc.subjectProgramming
dc.subject2020 URS Data Stories
dc.titleNew Capabilities for Self-Driving Networksen_US

Files

Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
Rudolph_Nolan_2020urs.pdf
Size:
468.53 KB
Format:
Adobe Portable Document Format
Description:
Name:
R_Nolan_presentation_2020urs.mp4
Size:
34.45 MB
Format:
Unknown data format
Description:
License bundle
Now showing 1 - 1 of 1
Name:
license.txt
Size:
2.22 KB
Format:
Item-specific license agreed upon to submission
Description: