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ML-based performance prediction of SDN using simulated data from real and synthetic networks

, , , and . NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, page 1--7. IEEE, (2022)

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Browser Fingerprinting: How to Protect Machine Learning Models and Data with Differential Privacy?, , , , , and . Electron. Commun. Eur. Assoc. Softw. Sci. Technol., (2022)Identification and Evaluation of KPIs in SDN via Simulation for Establishing Topology Classifications and Prediction Models. University of Würzburg, (January 2020)Moving Down the Stack: Performance Evaluation of Packet Processing Technologies for Stateful Firewalls, , , , , and . NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, page 1--7. IEEE, (2023)Demystifying User-based Active Learning for Network Monitoring Tasks, , , , and . 2nd Workshop on Machine Learning & Networking (MaLeNe) as part of NetSys'23, Potsdam, Germany, (September 2023)ML-based Performance Prediction of SDN using Simulated Data from Real and Synthetic Networks., , , and . NOMS, page 1-7. IEEE, (2022)Simulative evaluation of KPIs in SDN for topology classification and performance prediction models, , and . 2020 16th International Conference on Network and Service Management (CNSM), page 1--9. IEEE, (2020)Demystifying user-based active learning for network monitoring tasks, , , , and . (2023)Moving Down the Stack: Performance Evaluation of Packet Processing Technologies for Stateful Firewalls., , , , , and . NOMS, page 1-7. IEEE, (2023)Want more WANs? Comparison of Traditional and GAN-based Generation of Wide Area Network Topologies via Graph and Performance Metrics, , and . Transactions on Network and Service Management (TNSM), (July 2023)Smart Modelling for Literary History., , , , and . Int. J. Humanit. Arts Comput., 16 (1): 78-93 (2022)