| Analyzing Efficient Stream Processing on Modern Hardware S Zeuch, B Del Monte, J Karimov, C Lutz, M Renz, J Traub, S Breß, T Rabl, ... Proceedings of the VLDB Endowment (PVLDB), 2018 | 138 | 2018 |
| The NebulaStream Platform: Data and application management for the internet of things S Zeuch, A Chaudhary, B Del Monte, H Gavriilidis, D Giouroukis, ... Conference on Innovative Data Systems Research (CIDR), 2020 | 125 | 2020 |
| Cutty: Aggregate Sharing for User-Defined Windows P Carbone, J Traub, A Katsifodimos, S Haridi, V Markl Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 90 | 2016 |
| Efficient Window Aggregation with General Stream Slicing J Traub, P Grulich, AR Cuéllar, S Breß, A Katsifodimos, T Rabl, V Markl 22nd International Conference on Extending Database Technology (EDBT), 2019 | 82 | 2019 |
| Grizzly: Efficient Stream Processing Through Adaptive Query Compilation PM Grulich, B Sebastian, S Zeuch, J Traub, J Bleichert, Z Chen, T Rabl, ... Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 72 | 2020 |
| Scotty: Efficient Window Aggregation for out-of-order Stream Processing J Traub, P Grulich, AR Cuéllar, S Breß, A Katsifodimos, T Rabl, V Markl 34th IEEE International Conference on Data Engineering, 2018 | 67 | 2018 |
| Survey of window types for aggregation in stream processing systems J Verwiebe, PM Grulich, J Traub, V Markl The VLDB Journal 32 (5), 985-1011, 2023 | 61 | 2023 |
| A survey of adaptive sampling and filtering algorithms for the internet of things D Giouroukis, A Dadiani, J Traub, S Zeuch, V Markl Proceedings of the 14th ACM International Conference on Distributed and …, 2020 | 56 | 2020 |
| Optimized On-Demand Data Streaming from Sensor Nodes J Traub, S Breß, T Rabl, A Katsifodimos, V Markl Proceedings of the 2017 Symposium on Cloud Computing, 586-597, 2017 | 45 | 2017 |
| Agora: Bringing together datasets, algorithms, models and more in a unified ecosystem [vision] J Traub, JA Quiané-Ruiz, Z Kaoudi, V Markl ACM SIGMOD Record 49 (4), 6-11, 2021 | 41* | 2021 |
| Scotty: General and Efficient Open-source Window Aggregation for Stream Processing Systems J Traub, PM Grulich, AR Cuéllar, S Breß, A Katsifodimos, T Rabl, V Markl ACM Transactions on Database Systems (TODS) 46 (1), 1-46, 2021 | 34 | 2021 |
| I2: Interactive Real-Time Visualization for Streaming Data J Traub, N Steenbergen, PM Grulich, T Rabl, V Markl 20th International Conference on Extending Database Technology (EDBT), 526-529, 2017 | 34 | 2017 |
| Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive Windowing PM Grulich, R Saitenmacher, J Traub, S Breß, T Rabl, V Markl 21st International Conference on Extending Database Technology, 2018 | 33 | 2018 |
| Apache Flink in current research T Rabl, J Traub, A Katsifodimos, V Markl it-Information Technology 58 (4), 157-165, 2016 | 33 | 2016 |
| Efficient SIMD Vectorization for Hashing in OpenCL T Behrens, V Rosenfeld, J Traub, S Breß, V Markl 21st International Conference on Extending Database Technology, 2018 | 27 | 2018 |
| Demand-based sensor data gathering with multi-query optimization J Hülsmann, J Traub, V Markl Proceedings of the VLDB Endowment 13 (12), 2801-2804, 2020 | 25 | 2020 |
| Algorithms for Windowed Aggregations and Joins on Distributed Stream Processing Systems J Verwiebe, PM Grulich, J Traub, V Markl Datenbank-Spektrum 22 (2), 99-107, 2022 | 22 | 2022 |
| Adaptive Watermarks: A Concept Drift-based Approach for Predicting Event-Time Progress in Data Streams. A Awad, J Traub, S Sakr EDBT, 622-625, 2019 | 22 | 2019 |
| Adaptive Fragment Assignment for Processing File Data in a Database A Balmin, RA Pereira Goncalves, F Ozcan, J Traub US Patent 9,576,000 Β2, 2014 | 22 | 2014 |
| What is the price for joining securely? benchmarking equi-joins in trusted execution environments K Maliszewski, JA Quiané-Ruiz, J Traub, V Markl Proceedings of the VLDB Endowment 15 (3), 659-672, 2021 | 21 | 2021 |
Volker MarklTechnische Universität BerlinVerified email at tu-berlin.de
