Jonas Traub
Jonas Traub
Verified email at tu-berlin.de
Title
Cited by
Cited by
Year
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
362016
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
232018
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
212017
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
162018
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
142019
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
142017
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
92014
The NebulaStream Platform: Data and application management for the internet of things
S Zeuch, A Chaudhary, B Del Monte, H Gavriilidis, D Giouroukis, ...
arXiv preprint arXiv:1910.07867, 2019
82019
Apache Flink in current research
T Rabl, J Traub, A Katsifodimos, V Markl
it-Information Technology 58 (4), 157-165, 2016
82016
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
62018
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
42019
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
42018
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
32019
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
22019
Die Apache Flink Plattform zur parallelen Analyse von Datenströmen und Stapeldaten.
J Traub, T Rabl, F Hueske, T Rohrmann, V Markl
LWA, 403-408, 2015
22015
A Survey of Adaptive Sampling and Filtering Algorithms for the Internet of Things
D Giouroukis, A Dadiani, J Traub, S Zeuch, V Markl
DEBS'20: 14th ACM International Conference on Distributed and Event-Based …, 2020
2020
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
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
2019
Agora: Towards An Open Ecosystem for Democratizing Data Science & Artificial Intelligence
J Traub, JA Quiané-Ruiz, Z Kaoudi, V Markl
arXiv preprint arXiv:1909.03026, 2019
2019
Demand-based data stream gathering, processing, and transmission
J Traub
2019
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Articles 1–20