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ORCIDPhilipp M. Grulich
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- affiliation: TU Berlin, DIMA, Germany
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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)- [c19]Dwi P. A. Nugroho, Philipp M. Grulich, Steffen Zeuch, Clemens Lutz, Stefano Bortoli, Volker Markl:
Benchmarking Stream Join Algorithms on GPUs: A Framework and its Application to the State-of-the-art. EDBT 2024: 188-200 - [c18]Ariane Ziehn, Philipp M. Grulich, Steffen Zeuch, Volker Markl:
Bridging the Gap: Complex Event Processing on Stream Processing Systems. EDBT 2024: 447-460 - 2023
- [b1]Philipp Marian Grulich:
Query compilation for modern data processing environments. Technical University of Berlin, Germany, 2023 - [j8]Aljoscha P. Lepping, Hoang Mi Pham, Laura Mons, Balint Rueb, Philipp M. Grulich, Ankit Chaudhary, Steffen Zeuch, Volker Markl:
Showcasing Data Management Challenges for Future IoT Applications with NebulaStream. Proc. VLDB Endow. 16(12): 3930-3933 (2023) - [j7]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) - [c17]Philipp M. Grulich, Aljoscha P. Lepping, Dwi Prasetyo Adi Nugroho, Varun Pandey, Bonaventura Del Monte, Steffen Zeuch, Volker Markl:
Towards Unifying Query Interpretation and Compilation. CIDR 2023 - [c16]Nils L. Schubert, Philipp M. Grulich, Steffen Zeuch, Volker Markl:
Exploiting Access Pattern Characteristics for Join Reordering. DaMoN 2023: 10-18 - [c15]Philipp M. Grulich, Steffen Zeuch, Volker Markl:
Towards Efficient and Secure UDF Execution with BabelfishLib (Lightning Talk). VLDB Workshops 2023 - 2022
- [j6]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) - [j5]Steffen Zeuch, Xenofon Chatziliadis, Ankit Chaudhary, Dimitrios Giouroukis, Philipp M. Grulich, Dwi Prasetyo Adi Nugroho, Ariane Ziehn, Volker Markl:
NebulaStream: Data Management for the Internet of Things. Datenbank-Spektrum 22(2): 131-141 (2022) - 2021
- [j4]Philipp Marian Grulich, Steffen Zeuch, Volker Markl:
Babelfish: Efficient Execution of Polyglot Queries. Proc. VLDB Endow. 15(2): 196-210 (2021) - [j3]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) - [c14]Adrian Michalke, Philipp M. Grulich, Clemens Lutz, Steffen Zeuch, Volker Markl:
An Energy-Efficient Stream Join for the Internet of Things. DaMoN 2021: 8:1-8:6 - [c13]Shuhao Zhang, Yancan Mao, Jiong He, Philipp M. Grulich, Steffen Zeuch, Bingsheng He, Richard T. B. Ma, Volker Markl:
Parallelizing Intra-Window Join on Multicores: An Experimental Study. SIGMOD Conference 2021: 2089-2101 - [c12]Sebastian Baunsgaard, Matthias Boehm, Ankit Chaudhary, Behrouz Derakhshan, Stefan Geißelsöder, Philipp M. Grulich, Michael Hildebrand, Kevin Innerebner, Volker Markl, Claus Neubauer, Sarah Osterburg, Olga Ovcharenko, Sergey Redyuk, Tobias Rieger, Alireza Rezaei Mahdiraji, Sebastian Benjamin Wrede, Steffen Zeuch:
ExDRa: Exploratory Data Science on Federated Raw Data. SIGMOD Conference 2021: 2450-2463 - 2020
- [j2]Steffen Zeuch, Eleni Tzirita Zacharatou, Shuhao Zhang, Xenofon Chatziliadis, Ankit Chaudhary, Bonaventura Del Monte, Dimitrios Giouroukis, Philipp M. Grulich, Ariane Ziehn, Volker Markl:
NebulaStream: Complex Analytics Beyond the Cloud. Open J. Internet Things 6(1): 66-81 (2020) - [c11]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 - [c10]Lawrence Benson, Philipp M. Grulich, Steffen Zeuch, Volker Markl, Tilmann Rabl:
Disco: Efficient Distributed Window Aggregation. EDBT 2020: 423-426 - [c9]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
- [c8]Philipp M. Grulich, Jonas Traub, Sebastian Breß, Asterios Katsifodimos, Volker Markl, Tilmann Rabl:
Generating Reproducible Out-of-Order Data Streams. DEBS 2019: 256-257 - [c7]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 - [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) - 2018
- [j1]Philipp M. Grulich, Faisal Nawab:
Collaborative Edge and Cloud Neural Networks for Real-Time Video Processing. Proc. VLDB Endow. 11(12): 2046-2049 (2018) - [c6]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 - [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]Philipp M. Grulich, Tilmann Rabl, Volker Markl, Csaba István Sidló, András A. Benczúr:
STREAMLINE - Streamlined Analysis of Data at Rest and Data in Motion. EDBT/ICDT Workshops 2017 - [c3]Jonas Traub, Nikolaas Steenbergen, Philipp M. Grulich, Tilmann Rabl, Volker Markl:
I2: Interactive Real-Time Visualization for Streaming Data. EDBT 2017: 526-529 - [c2]Philipp M. Grulich, Olaf Zukunft:
Smart Stream-Based Car Information Systems that Scale: An Experimental Evaluation. iThings/GreenCom/CPSCom/SmartData 2017: 1030-1037 - [c1]Philipp M. Grulich, Olaf Zukunft:
Bringing Big Data into the Car: Does it Scale? Innovate-Data 2017: 9-16 - [i1]Philipp M. Grulich:
Scalable real-time processing with Spark Streaming: implementation and design of a Car Information System. CoRR abs/1709.05197 (2017)
Coauthor Index
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