Jonas Traub
Jonas Traub
Bestätigte E-Mail-Adresse bei tu-berlin.de
Titel
Zitiert von
Zitiert von
Jahr
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
452016
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
392018
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
292017
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
282019
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
282018
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
192020
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
192017
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
102018
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
102014
Apache Flink in current research
T Rabl, J Traub, A Katsifodimos, V Markl
it-Information Technology 58 (4), 157-165, 2016
92016
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
82019
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
72018
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
62020
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
52020
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
52019
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
42019
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
32020
Agora: Bringing Together Datasets, Algorithms, Models and More in a Unified Ecosystem [Vision]
J Traub, Z Kaoudi, JA Quiané-Ruiz, V Markl
3*
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
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
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20