| Magic mirror in my hand, which is the best in the land? an experimental evaluation of index selection algorithms J Kossmann, S Halfpap, M Jankrift, R Schlosser Proceedings of the VLDB Endowment 13 (12), 2382-2395, 2020 | 64 | 2020 |
| Hyrise Re-engineered: An Extensible Database System for Research in Relational In-Memory Data Management. M Dreseler, J Kossmann, M Boissier, S Klauck, M Uflacker, H Plattner EDBT, 313-324, 2019 | 52 | 2019 |
| Data dependencies for query optimization: a survey J Kossmann, T Papenbrock, F Naumann The VLDB Journal 31 (1), 1-22, 2022 | 43 | 2022 |
| Efficient scalable multi-attribute index selection using recursive strategies R Schlosser, J Kossmann, M Boissier 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1238-1249, 2019 | 40 | 2019 |
| Scotty: Relocating physical objects across distances using destructive scanning, encryption, and 3D printing S Mueller, M Fritzsche, J Kossmann, M Schneider, J Striebel, P Baudisch Proceedings of the Ninth International Conference on Tangible, Embedded, and …, 2015 | 32 | 2015 |
| SWIRL: Selection of Workload-aware Indexes using Reinforcement Learning. J Kossmann, A Kastius, R Schlosser EDBT 2, 155-2, 2022 | 18 | 2022 |
| Hyrise-R: Scale-out and hot-standby through lazy master replication for enterprise applications D Schwalb, J Kossmann, M Faust, S Klauck, M Uflacker, H Plattner Proceedings of the 3rd VLDB Workshop on In-Memory Data Mangement and …, 2015 | 17 | 2015 |
| Self-driving database systems: a conceptual approach J Kossmann, R Schlosser Distributed and Parallel Databases 38, 795-817, 2020 | 16 | 2020 |
| Fused table scans: Combining AVX-512 and JIT to double the performance of multi-predicate scans M Dreseler, J Kossmann, J Frohnhofen, M Uflacker, H Plattner 2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW …, 2018 | 14 | 2018 |
| A framework for self-managing database systems J Kossmann, R Schlosser 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW …, 2019 | 5 | 2019 |
| Workload-driven, Lazy Discovery of Data Dependencies for Query Optimization. J Kossmann, F Naumann, D Lindner, T Papenbrock CIDR, 2022 | 4 | 2022 |
| Self-Driving: From General Purpose to Specialized DBMSs. J Kossmann PhD@ VLDB, 2018 | 4 | 2018 |
| Adaptive Access Path Selection for Hardware-Accelerated DRAM Loads M Dreseler, T Gasda, J Kossmann, M Uflacker, H Plattner Databases Theory and Applications: 29th Australasian Database Conference …, 2018 | 2 | 2018 |
| Visual Evaluation of SQL Plan Cache Algorithms J Kossmann, M Dreseler, T Gasda, M Uflacker, H Plattner Databases Theory and Applications: 29th Australasian Database Conference …, 2018 | 2 | 2018 |
| Training an agent for iterative multi-attribute index selection J Kossmann, R Schlosser, A Kastius, M Perscheid, H Plattner US Patent App. 18/167,667, 2023 | 1 | 2023 |
| Correction to: Data dependencies for query optimization: a survey J Kossmann, T Papenbrock, F Naumann The VLDB Journal 32 (2), 471-471, 2023 | 1 | 2023 |
| Learned What-If Cost Models for Autonomous Clustering D Lindner, A Löser, J Kossmann European Conference on Advances in Databases and Information Systems, 3-13, 2021 | 1 | 2021 |
| A Cockpit for the Development and Evaluation of Autonomous Database Systems J Kossmann, M Boissier, A Dubrawski, F Heseding, C Mandel, U Pigorsch, ... 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2685-2688, 2021 | 1 | 2021 |
| Unsupervised database optimization: efficient index selection & data dependency-driven query optimization J Koßmann Universität Potsdam, 2023 | | 2023 |
Rainer SchlosserHasso Plattner Institute, University of PotsdamVerified email at hpi.de
