| Let's wait awhile: How temporal workload shifting can reduce carbon emissions in the cloud P Wiesner, I Behnke, D Scheinert, K Gontarska, L Thamsen Proceedings of the 22nd International Middleware Conference, 260-272, 2021 | 95 | 2021 |
| A2log: attentive augmented log anomaly detection T Wittkopp, A Acker, S Nedelkoski, J Bogatinovski, D Scheinert, W Fan, ... Hawaii International Conference on System Sciences 55 (HICSS), 1853-1862, 2021 | 32 | 2021 |
| Learning dependencies in distributed cloud applications to identify and localize anomalies D Scheinert, A Acker, L Thamsen, MK Geldenhuys, O Kao 2021 IEEE/ACM International Workshop on Cloud Intelligence …, 2021 | 22 | 2021 |
| C3O: collaborative cluster configuration optimization for distributed data processing in public clouds J Will, L Thamsen, D Scheinert, J Bader, O Kao 2021 IEEE International Conference on Cloud Engineering (IC2E), 43-52, 2021 | 18 | 2021 |
| Telesto: A graph neural network model for anomaly classification in cloud services D Scheinert, A Acker International Conference on Service-Oriented Computing, 214-227, 2020 | 17 | 2020 |
| Bellamy: Reusing performance models for distributed dataflow jobs across contexts D Scheinert, L Thamsen, H Zhu, J Will, A Acker, T Wittkopp, O Kao 2021 IEEE International Conference on Cluster Computing (CLUSTER), 261-270, 2021 | 16 | 2021 |
| Enel: Context-aware dynamic scaling of distributed dataflow jobs using graph propagation D Scheinert, H Zhu, L Thamsen, MK Geldenhuys, J Will, A Acker, O Kao 2021 IEEE International Performance, Computing, and Communications …, 2021 | 13 | 2021 |
| Reshi: Recommending resources for scientific workflow tasks on heterogeneous infrastructures J Bader, F Lehmann, A Groth, L Thamsen, D Scheinert, J Will, U Leser, ... 2022 IEEE International Performance, Computing, and Communications …, 2022 | 12 | 2022 |
| Loglab: attention-based labeling of log data anomalies via weak supervision T Wittkopp, P Wiesner, D Scheinert, A Acker International Conference on Service-Oriented Computing, 700-707, 2021 | 12 | 2021 |
| On the potential of execution traces for batch processing workload optimization in public clouds D Scheinert, A Alamgiralem, J Bader, J Will, T Wittkopp, L Thamsen 2021 IEEE International Conference on Big Data (Big Data), 3113-3118, 2021 | 11 | 2021 |
| Get your memory right: The crispy resource allocation assistant for large-scale data processing J Will, L Thamsen, J Bader, D Scheinert, O Kao 2022 IEEE International Conference on Cloud Engineering (IC2E), 58-66, 2022 | 10 | 2022 |
| Khaos: Dynamically optimizing checkpointing for dependable distributed stream processing MK Geldenhuys, BJJ Pfister, D Scheinert, L Thamsen, O Kao 2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS …, 2022 | 10 | 2022 |
| Cucumber: Renewable-aware admission control for delay-tolerant cloud and edge workloads P Wiesner, D Scheinert, T Wittkopp, L Thamsen, O Kao European Conference on Parallel Processing, 218-232, 2022 | 10 | 2022 |
| Phoebe: Qos-aware distributed stream processing through anticipating dynamic workloads MK Geldenhuys, D Scheinert, O Kao, L Thamsen 2022 IEEE International Conference on Web Services (ICWS), 198-207, 2022 | 10 | 2022 |
| Evaluation of load prediction techniques for distributed stream processing K Gontarska, M Geldenhuys, D Scheinert, P Wiesner, A Polze, L Thamsen 2021 IEEE International Conference on Cloud Engineering (IC2E), 91-98, 2021 | 9 | 2021 |
| PULL: reactive log anomaly detection based on iterative PU learning T Wittkopp, D Scheinert, P Wiesner, A Acker, O Kao arXiv preprint arXiv:2301.10681, 2023 | 8 | 2023 |
| A taxonomy of anomalies in log data T Wittkopp, P Wiesner, D Scheinert, O Kao International Conference on Service-Oriented Computing, 153-164, 2021 | 8 | 2021 |
| Training data reduction for performance models of data analytics jobs in the cloud J Will, O Arslan, J Bader, D Scheinert, L Thamsen 2021 IEEE International Conference on Big Data (Big Data), 3141-3146, 2021 | 7 | 2021 |
| Ruya: Memory-aware iterative optimization of cluster configurations for big data processing J Will, L Thamsen, J Bader, D Scheinert, O Kao 2022 IEEE International Conference on Big Data (Big Data), 161-169, 2022 | 6 | 2022 |
| Karasu: A collaborative approach to efficient cluster configuration for big data analytics D Scheinert, P Wiesner, T Wittkopp, L Thamsen, J Will, O Kao 2023 IEEE International Performance, Computing, and Communications …, 2023 | 5 | 2023 |
Lauritz ThamsenLecturer in Computer Systems, University of GlasgowПідтверджена електронна адреса в glasgow.ac.uk