ML-based performance prediction of SDN using simulated data from real and synthetic networks
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| Author: | Katharina Dietz, Nicholas Gray, Michael SeufertORCiDGND, Tobias Hoßfeld |
|---|---|
| URN: | urn:nbn:de:bvb:384-opus4-1072545 |
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/107254 |
| ISBN: | 978-1-6654-0601-7OPAC |
| ISSN: | 2374-9709OPAC |
| Parent Title (English): | NOMS 2022 - 2022 IEEE/IFIP Network Operations and Management Symposium, April 25-29, 2022, Budapest, Hungary |
| Publisher: | IEEE |
| Place of publication: | Piscataway, NJ |
| Editor: | Pal Varga, Lisandro Zambenedetti Granville, Alex Galis, Istvan Godor, Noura Limam, Prosper Chemouil, Jérôme François, Marc-Oliver Pahl |
| Type: | Conference Proceeding |
| Language: | English |
| Year of first Publication: | 2022 |
| Publishing Institution: | Universität Augsburg |
| Release Date: | 2023/10/11 |
| First Page: | 1 |
| Last Page: | 7 |
| DOI: | https://doi.org/10.1109/noms54207.2022.9789916 |
| Institutes: | Fakultät für Angewandte Informatik |
| Fakultät für Angewandte Informatik / Institut für Informatik | |
| Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Vernetzte Systeme und Kommunikationsnetze | |
| Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
| Licence (German): |  Deutsches Urheberrecht |
