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2020 – today
- 2024
[j9]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]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]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]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]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]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]Julius Hülsmann, Jonas Traub, Volker Markl:
Demand-based Sensor Data Gathering with Multi-Query Optimization. Proc. VLDB Endow. 13(12): 2801-2804 (2020) - [j3]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]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]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]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
- 2019
- [b1]Jonas Traub:
Demand-based data stream gathering, processing, and transmission. Technical University of Berlin, Germany, 2019 - [j2]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]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]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]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]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]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]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]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]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]Tobias Behrens, Viktor Rosenfeld, Jonas Traub, Sebastian Breß, Volker Markl:
Efficient SIMD Vectorization for Hashing in OpenCL. EDBT 2018: 489-492 - [c5]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]Jonas Traub, Sebastian Breß, Tilmann Rabl, Asterios Katsifodimos, Volker Markl:
Optimized on-demand data streaming from sensor nodes. SoCC 2017: 586-597 - [c3]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]Tilmann Rabl, Jonas Traub, Asterios Katsifodimos, Volker Markl:
Apache Flink in current research. it Inf. Technol. 58(4): 157-165 (2016) - [c2]Paris Carbone, Jonas Traub, Asterios Katsifodimos, Seif Haridi, Volker Markl:
Cutty: Aggregate Sharing for User-Defined Windows. CIKM 2016: 1201-1210 - 2015
- [c1]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
Coauthor Index
aka: Philipp Marian Grulich
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last updated on 2024-04-25 05:40 CEST by the dblp team
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