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 52 (5), 1143-1169, 2022 | 36 | 2022 |
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 | 24 | 2021 |
Workflows community summit 2022: A roadmap revolution RF da Silva, RM Badia, V Bala, D Bard, PT Bremer, I Buckley, ... arXiv preprint arXiv:2304.00019, 2023 | 17* | 2023 |
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 | 16 | 2021 |
Lotaru: Locally estimating runtimes of scientific workflow tasks in heterogeneous clusters J Bader, F Lehmann, L Thamsen, J Will, U Leser, O Kao Proceedings of the 34th International Conference on Scientific and …, 2022 | 12 | 2022 |
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 | 10 | 2022 |
Towards collaborative optimization of cluster configurations for distributed dataflow jobs J Will, J Bader, L Thamsen 2020 IEEE International Conference on Big Data (Big Data), 2851-2856, 2020 | 10 | 2020 |
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 | 9 | 2023 |
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 | 9 | 2021 |
Towards advanced monitoring for scientific workflows J Bader, J Witzke, S Becker, A Lößer, F Lehmann, L Doehler, AD Vu, ... 2022 IEEE International Conference on Big Data (Big Data), 2709-2715, 2022 | 6 | 2022 |
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 | 6 | 2022 |
Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures J Bader, F Lehmann, L Thamsen, U Leser, O Kao Future Generation Computer Systems 150, 171-185, 2024 | 4 | 2024 |
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 | 4 | 2022 |
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 | 4 | 2021 |
Leveraging reinforcement learning for task resource allocation in scientific workflows J Bader, N Zunker, S Becker, O Kao 2022 IEEE International Conference on Big Data (Big Data), 3714-3719, 2022 | 3 | 2022 |
Macaw: The machine learning magnetometer calibration workflow J Bader, K Styp-Rekowski, L Doehler, S Becker, O Kao 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1095-1101, 2022 | 3 | 2022 |
Perona: Robust infrastructure fingerprinting for resource-efficient big data analytics D Scheinert, S Becker, J Bader, L Thamsen, J Will, O Kao 2022 IEEE International Conference on Big Data (Big Data), 209-216, 2022 | 2 | 2022 |
Syncmesh: improving data locality for function-as-a-service in meshed edge networks D Habenicht, K Kreutz, S Becker, J Bader, L Thamsen, O Kao Proceedings of the 5th International Workshop on Edge Systems, Analytics and …, 2022 | 2 | 2022 |
Collaborative cluster configuration for distributed data-parallel processing: A research overview L Thamsen, D Scheinert, J Will, J Bader, O Kao Datenbank-Spektrum 22 (2), 143-151, 2022 | 1 | 2022 |
Predicting Dynamic Memory Requirements for Scientific Workflow Tasks J Bader, N Diedrich, L Thamsen, O Kao 2023 IEEE International Conference on Big Data (BigData), 182-189, 2023 | | 2023 |