| Evaluating machine learning algorithms for anomaly detection in clouds A Gulenko, M Wallschläger, F Schmidt, O Kao, F Liu Big Data (Big Data), 2016 IEEE International Conference on, 2716-2721, 2016 | 66 | 2016 |
| A system architecture for real-time anomaly detection in large-scale nfv systems A Gulenko, M Wallschläger, F Schmidt, O Kao, F Liu Procedia Computer Science 94, 491-496, 2016 | 42 | 2016 |
| Detecting anomalous behavior of black-box services modeled with distance-based online clustering A Gulenko, F Schmidt, A Acker, M Wallschläger, O Kao, F Liu 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), 912-915, 2018 | 39 | 2018 |
| Selecting resources for distributed dataflow systems according to runtime targets L Thamsen, I Verbitskiy, F Schmidt, T Renner, O Kao 2016 IEEE 35th International Performance Computing and Communications …, 2016 | 32 | 2016 |
| Unsupervised anomaly event detection for cloud monitoring using online arima F Schmidt, F Suri-Payer, A Gulenko, M Wallschläger, A Acker, O Kao 2018 IEEE/ACM International Conference on Utility and Cloud Computing …, 2018 | 30 | 2018 |
| Iftm-unsupervised anomaly detection for virtualized network function services F Schmidt, A Gulenko, M Wallschläger, A Acker, V Hennig, F Liu, O Kao 2018 IEEE International Conference on Web Services (ICWS), 187-194, 2018 | 29 | 2018 |
| Towards aiops in edge computing environments S Becker, F Schmidt, A Gulenko, A Acker, O Kao 2020 IEEE International Conference on Big Data (Big Data), 3470-3475, 2020 | 27 | 2020 |
| Towards a cognitive compute continuum: an architecture for ad-hoc self-managed swarms AJ Ferrer, S Becker, F Schmidt, L Thamsen, O Kao 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet …, 2021 | 26 | 2021 |
| Edgepier: P2p-based container image distribution in edge computing environments S Becker, F Schmidt, O Kao 2021 IEEE International Performance, Computing, and Communications …, 2021 | 24 | 2021 |
| Artificial intelligence for it operations (aiops) workshop white paper J Bogatinovski, S Nedelkoski, A Acker, F Schmidt, T Wittkopp, S Becker, ... arXiv preprint arXiv:2101.06054, 2021 | 18 | 2021 |
| Unsupervised anomaly event detection for vnf service monitoring using multivariate online arima F Schmidt, F Suri-Payer, A Gulenko, M Wallschläger, A Acker, O Kao 2018 IEEE International conference on cloud computing technology and science …, 2018 | 17 | 2018 |
| Scheduling recurring distributed dataflow jobs based on resource utilization and interference L Thamsen, B Rabier, F Schmidt, T Renner, O Kao 2017 IEEE International Congress on Big Data (BigData Congress), 145-152, 2017 | 17 | 2017 |
| Automated anomaly detection in virtualized services using deep packet inspection M Wallschläger, A Gulenko, F Schmidt, O Kao, F Liu Procedia Computer Science 110, 510-515, 2017 | 14 | 2017 |
| Unsupervised anomaly alerting for iot-gateway monitoring using adaptive thresholds and half-space trees R Wetzig, A Gulenko, F Schmidt 2019 Sixth International Conference on Internet of Things: Systems …, 2019 | 11 | 2019 |
| SMiPE: estimating the progress of recurring iterative distributed dataflows J Koch, L Thamsen, F Schmidt, O Kao 2017 18th International Conference on Parallel and Distributed Computing …, 2017 | 10 | 2017 |
| Graph-based feature selection filter utilizing maximal cliques DT Schroeder, K Styp-Rekowski, F Schmidt, A Acker, O Kao 2019 Sixth International Conference on Social Networks Analysis, Management …, 2019 | 8 | 2019 |
| Online density grid pattern analysis to classify anomalies in cloud and nfv systems A Acker, F Schmidt, A Gulenko, O Kao 2018 IEEE International Conference on Cloud Computing Technology and Science …, 2018 | 7 | 2018 |
| Decision tree visualization for high-dimensional numerical data D Szücs, F Schmidt 2018 Fifth International Conference on Social Networks Analysis, Management …, 2018 | 7 | 2018 |
| Los: Local-optimistic scheduling of periodic model training for anomaly detection on sensor data streams in meshed edge networks S Becker, F Schmidt, L Thamsen, AJ Ferrer, O Kao 2021 IEEE International Conference on Autonomic Computing and Self …, 2021 | 6 | 2021 |
| Bitflow: An in situ stream processing framework A Gulenko, A Acker, F Schmidt, S Becker, O Kao 2020 IEEE International Conference on Autonomic Computing and Self …, 2020 | 6 | 2020 |
Odej KaoProfessor of Computer Science, TU BerlinBestätigte E-Mail-Adresse bei tu-berlin.de