| 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 | 45 | 2016 |
| 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 | 44 | 2018 |
| 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 | 30 | 2019 |
| 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 | 29 | 2018 |
| 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 | 29 | 2017 |
| 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 | 22 | 2020 |
| 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 | 19 | 2017 |
| 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 | 12 | 2018 |
| 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 | 10 | 2014 |
| Apache Flink in current research T Rabl, J Traub, A Katsifodimos, V Markl it-Information Technology 58 (4), 157-165, 2016 | 9 | 2016 |
| 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 | 8 | 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 | 7 | 2020 |
| 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 | 7 | 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 | 6 | 2020 |
| Resense: Transparent Record and Replay of Sensor Data in the Internet of Things D Giouroukis, J Hülsmann, J von Bleichert, M Geldenhuys, T Stullich, ... 22nd International Conference on Extending Database Technology (EDBT), 2019 | 5 | 2019 |
| Generating Reproducible Out-of-Order Data Streams PM Grulich, J Traub, S Breß, A Katsifodimos, V Markl, T Rabl Proceedings of the 13th ACM International Conference on Distributed and …, 2019 | 4 | 2019 |
| Agora: Bringing Together Datasets, Algorithms, Models and More in a Unified Ecosystem [Vision] J Traub, Z Kaoudi, JA Quiané-Ruiz, V Markl | 4* | |
| 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 | 3 | 2020 |
| SENSE: Scalable Data Acquisition from Distributed Sensors with Guaranteed Time Coherence J Traub, J Hülsmann, S Breß, T Rabl, V Markl arXiv preprint arXiv:1912.04648, 2019 | 2 | 2019 |
| Demand-based data stream gathering, processing, and transmission J Traub | 2 | 2019 |
