New Capabilities for Self-Driving Networks
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.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.identifier.orcid | https://orcid.org/0000-0002-8062-6614 | |
dc.identifier.uri | https://hdl.handle.net/1794/25364 | |
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 |
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