| 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 | 97 | 2021 |
| Implicit Parallelism Through Deep Language Embedding A Alexandrov, A Kunft, A Katsifodimos, F Schüler, L Thamsen, O Kao, ... 🏆 Proceedings of the 2015 ACM SIGMOD International Conference on Management …, 2015 | 90 | 2015 |
| AuctionWhisk: Using an Auction‐Inspired Approach for Function Placement in Serverless Fog Platforms D Bermbach, J Bader, J Hasenburg, T Pfandzelter, L Thamsen Software: Practice and Experience, 2021 | 52 | 2021 |
| LEAF: Simulating Large Energy-Aware Fog Computing Environments P Wiesner, L Thamsen 5th IEEE International Conference on Fog and Edge Computing (ICFEC), 2021 | 32 | 2021 |
| On the Future of Cloud Engineering D Bermbach, A Chandra, C Krintz, A Gokhale, A Slominski, L Thamsen, ... 2021 IEEE International Conference on Cloud Engineering (IC2E), 264-275, 2021 | 31 | 2021 |
| 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 | 31 | 2016 |
| Héctor: A Framework for Testing IoT Applications Across Heterogeneous Edge and Cloud Testbeds I Behnke, L Thamsen, O Kao 12th IEEE/ACM International Conference on Utility and Cloud Computing …, 2019 | 28 | 2019 |
| Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters J Bader, L Thamsen, S Kulagina, J Will, H Meyerhenke, O Kao 2021 IEEE International Conference on Big Data (Big Data), 65-75, 2021 | 27 | 2021 |
| Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms AJ Ferrer, S Becker, F Schmidt, L Thamsen, O Kao 1st Workshop on the Cloud-to-Things Continuum (Cloud2Things), co-located …, 2021 | 25 | 2021 |
| Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies D Scheinert, A Acker, L Thamsen, MK Geldenhuys, O Kao 2nd Workshop on Cloud Intelligence (CloudIntelligence), co-located with the …, 2021 | 23 | 2021 |
| Scheduling Stream Processing Tasks on Geo-Distributed Heterogeneous Resources G Janßen, I Verbitskiy, T Renner, L Thamsen 2018 IEEE International Conference on Big Data (Big Data), 5159-5164, 2018 | 21 | 2018 |
| Continuously Testing Distributed IoT Systems: An Overview of the State of the Art J Beilharz, P Wiesner, A Boockmeyer, L Pirl, D Friedenberger, ... International Conference on Service-Oriented Computing, 336-350, 2022 | 20 | 2022 |
| Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures MK Geldenhuys, J Will, BJJ Pfister, M Haug, A Scharmann, L Thamsen 2021 IEEE International Conference on Cloud Engineering (IC2E), 244-250, 2021 | 19 | 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 | 19 | 2021 |
| CoLoc: Distributed Data and Container Colocation for Data-Intensive Applications T Renner, L Thamsen, O Kao 2016 IEEE International Conference on Big Data (Big Data), 3008-3015, 2016 | 19 | 2016 |
| Towards a Staging Environment for the Internet of Things J Beilharz, P Wiesner, A Boockmeyer, F Brokhausen, I Behnke, R Schmid, ... 🏆 19th IEEE International Conference on Pervasive Computing and …, 2021 | 18 | 2021 |
| 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 | 17 | 2021 |
| Ellis: Dynamically Scaling Distributed Dataflows to Meet Runtime Targets L Thamsen, I Verbitskiy, J Beilharz, T Renner, A Polze, O Kao 2017 IEEE International Conference on Cloud Computing Technology and Science …, 2017 | 17 | 2017 |
| 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 |
| How workflow engines should talk to resource managers: A proposal for a common workflow scheduling interface F Lehmann, J Bader, F Tschirpke, L Thamsen, U Leser 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet …, 2023 | 16 | 2023 |
Odej KaoProfessor of Computer Science, TU BerlinEmail yang diverifikasi di tu-berlin.de
