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Jonas Traub

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2020 – today

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2024
[j9]
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Juliane Verwiebe, Philipp M. Grulich, Jonas Traub, Volker Markl:
Correction to: Survey of window types for aggregation in stream processing systems. VLDB J. 33(1): 251 (2024)
2023
[j8]
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Juliane Verwiebe, Philipp M. Grulich, Jonas Traub, Volker Markl:
Survey of window types for aggregation in stream processing systems. VLDB J. 32(5): 985-1011 (2023)
2022
[j7]
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Juliane Verwiebe, Philipp M. Grulich, Jonas Traub, Volker Markl:
Algorithms for Windowed Aggregations and Joins on Distributed Stream Processing Systems. Datenbank-Spektrum 22(2): 99-107 (2022)
2021
[j6]
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Kajetan Jeremi Maliszewski, Jorge-Arnulfo Quiané-Ruiz, Jonas Traub, Volker Markl:
What Is the Price for Joining Securely? Benchmarking Equi-Joins in Trusted Execution Environments. Proc. VLDB Endow. 15(3): 659-672 (2021)
[j5]
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Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl:
Scotty: General and Efficient Open-source Window Aggregation for Stream Processing Systems. ACM Trans. Database Syst. 46(1): 1:1-1:46 (2021)
[c15]
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Julius Hülsmann, Chiao-Yun Li, Jonas Traub, Volker Markl:
Automatic Tuning of Read-Time Tolerances for Optimized On-Demand Data-Streaming from Sensor Nodes. EDBT 2021: 517-522
2020
[j4]
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Julius Hülsmann, Jonas Traub, Volker Markl:
Demand-based Sensor Data Gathering with Multi-Query Optimization. Proc. VLDB Endow. 13(12): 2801-2804 (2020)
[j3]
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Jonas Traub, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Agora: Bringing Together Datasets, Algorithms, Models and More in a Unified Ecosystem [Vision]. SIGMOD Rec. 49(4): 6-11 (2020)
[c14]
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Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian Breß, Jonas Traub, Volker Markl:
The NebulaStream Platform for Data and Application Management in the Internet of Things. CIDR 2020
[c13]
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  - conf/debs/GiouroukisDTZM20
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Dimitrios Giouroukis, Alexander Dadiani, Jonas Traub, Steffen Zeuch, Volker Markl:
A survey of adaptive sampling and filtering algorithms for the internet of things. DEBS 2020: 27-38
[c12]
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Philipp M. Grulich, Sebastian Breß, Steffen Zeuch, Jonas Traub, Janis von Bleichert, Zongxiong Chen, Tilmann Rabl, Volker Markl:
Grizzly: Efficient Stream Processing Through Adaptive Query Compilation. SIGMOD Conference 2020: 2487-2503

2010 – 2019

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2019
[b1]
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Jonas Traub:
Demand-based data stream gathering, processing, and transmission. Technical University of Berlin, Germany, 2019
[j2]
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Steffen Zeuch, Sebastian Breß, Tilmann Rabl, Bonaventura Del Monte, Jeyhun Karimov, Clemens Lutz, Manuel Renz, Jonas Traub, Volker Markl:
Analyzing Efficient Stream Processing on Modern Hardware. Proc. VLDB Endow. 12(5): 516-530 (2019)
[c11]
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Philipp M. Grulich, Jonas Traub, Sebastian Breß, Asterios Katsifodimos, Volker Markl, Tilmann Rabl:
Generating Reproducible Out-of-Order Data Streams. DEBS 2019: 256-257
[c10]
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Jonas Traub, Philipp M. Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl:
Efficient Window Aggregation with General Stream Slicing. EDBT 2019: 97-108
[c9]
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Dimitrios Giouroukis, Julius Hülsmann, Janis von Bleichert, Morgan Geldenhuys, Tim Stullich, Felipe Oliveira Gutierrez, Jonas Traub, Kaustubh Beedkar, Volker Markl:
Resense: Transparent Record and Replay of Sensor Data in the Internet of Things. EDBT 2019: 590-593
[c8]
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Ahmed Awad, Jonas Traub, Sherif Sakr:
Adaptive Watermarks: A Concept Drift-based Approach for Predicting Event-Time Progress in Data Streams. EDBT 2019: 622-625
[i3]
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  - journals/corr/abs-1909-03026
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Jonas Traub, Jorge-Arnulfo Quiané-Ruiz, Zoi Kaoudi, Volker Markl:
Agora: Towards An Open Ecosystem for Democratizing Data Science & Artificial Intelligence. CoRR abs/1909.03026 (2019)
[i2]
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  - journals/corr/abs-1910-07867
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Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian Breß, Jonas Traub, Volker Markl:
The NebulaStream Platform: Data and Application Management for the Internet of Things. CoRR abs/1910.07867 (2019)
[i1]
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  - journals/corr/abs-1912-04648
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Jonas Traub, Julius Hülsmann, Sebastian Breß, Tilmann Rabl, Volker Markl:
SENSE: Scalable Data Acquisition from Distributed Sensors with Guaranteed Time Coherence. CoRR abs/1912.04648 (2019)
2018
[c7]
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Philipp M. Grulich, René Saitenmacher, Jonas Traub, Sebastian Breß, Tilmann Rabl, Volker Markl:
Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive Windowing. EDBT 2018: 477-480
[c6]
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Tobias Behrens, Viktor Rosenfeld, Jonas Traub, Sebastian Breß, Volker Markl:
Efficient SIMD Vectorization for Hashing in OpenCL. EDBT 2018: 489-492
[c5]
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Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl:
Scotty: Efficient Window Aggregation for Out-of-Order Stream Processing. ICDE 2018: 1300-1303
2017
[c4]
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  - conf/cloud/TraubBRKM17
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Jonas Traub, Sebastian Breß, Tilmann Rabl, Asterios Katsifodimos, Volker Markl:
Optimized on-demand data streaming from sensor nodes. SoCC 2017: 586-597
[c3]
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Jonas Traub, Nikolaas Steenbergen, Philipp M. Grulich, Tilmann Rabl, Volker Markl:
I²: Interactive Real-Time Visualization for Streaming Data. EDBT 2017: 526-529
2016
[j1]
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Tilmann Rabl, Jonas Traub, Asterios Katsifodimos, Volker Markl:
Apache Flink in current research. it Inf. Technol. 58(4): 157-165 (2016)
[c2]
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  - conf/cikm/CarboneTKHM16
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Paris Carbone, Jonas Traub, Asterios Katsifodimos, Seif Haridi, Volker Markl:
Cutty: Aggregate Sharing for User-Defined Windows. CIKM 2016: 1201-1210
2015
[c1]
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  - conf/lwa/TraubRHRM15
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Jonas Traub, Tilmann Rabl, Fabian Hueske, Till Rohrmann, Volker Markl:
Die Apache Flink Plattform zur parallelen Analyse von Datenströmen und Stapeldaten. LWA 2015: 403-408

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