Philipp M. Grulich

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 28

Top Topics

Stream Processing Systems

Data Management

Top Venues

SIGMOD Conference

Proc. VLDB Endow.

Publications

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)
Ariane Ziehn, Philipp M. Grulich, Steffen Zeuch, Volker Markl
Bridging the Gap: Complex Event Processing on Stream Processing Systems. EDBT (2024)
Philipp M. Grulich, Aljoscha P. Lepping, Dwi P. A. Nugroho, Varun Pandey, Bonaventura Del Monte, Steffen Zeuch, Volker Markl
Query Compilation Without Regrets. Proc. ACM Manag. Data 2 (3) (2024)
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) (2024)
Juliane Verwiebe, Philipp M. Grulich, Jonas Traub, Volker Markl
Survey of window types for aggregation in stream processing systems. VLDB J. 32 (5) (2023)
Nils L. Schubert, Philipp M. Grulich, Steffen Zeuch, Volker Markl
Exploiting Access Pattern Characteristics for Join Reordering. DaMoN (2023)
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) (2023)
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)
Philipp M. Grulich, Steffen Zeuch, Volker Markl
Towards Efficient and Secure UDF Execution with BabelfishLib (Lightning Talk). VLDB Workshops (2023)
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) (2022)
Juliane Verwiebe, Philipp M. Grulich, Jonas Traub, Volker Markl
Algorithms for Windowed Aggregations and Joins on Distributed Stream Processing Systems. Datenbank-Spektrum 22 (2) (2022)
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)
Adrian Michalke, Philipp M. Grulich, Clemens Lutz, Steffen Zeuch, Volker Markl
An Energy-Efficient Stream Join for the Internet of Things. DaMoN (2021)
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)
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)
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) (2020)
Lawrence Benson, Philipp M. Grulich, Steffen Zeuch, Volker Markl, Tilmann Rabl
Disco: Efficient Distributed Window Aggregation. EDBT (2020)
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)
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)
Philipp M. Grulich, Jonas Traub, Sebastian Breß, Asterios Katsifodimos, Volker Markl, Tilmann Rabl
Generating Reproducible Out-of-Order Data Streams. DEBS (2019)
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 (2019)
Philipp M. Grulich, Faisal Nawab
Collaborative Edge and Cloud Neural Networks for Real-Time Video Processing. Proc. VLDB Endow. 11 (12) (2018)
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)
Philipp M. Grulich
Scalable real-time processing with Spark Streaming: implementation and design of a Car Information System. CoRR (2017)
Philipp M. Grulich, Olaf Zukunft
Smart Stream-Based Car Information Systems that Scale: An Experimental Evaluation. iThings/GreenCom/CPSCom/SmartData (2017)
Jonas Traub, Nikolaas Steenbergen, Philipp M. Grulich, Tilmann Rabl, Volker Markl
: Interactive Real-Time Visualization for Streaming Data. EDBT (2017)
Philipp M. Grulich, Olaf Zukunft
Bringing Big Data into the Car: Does it Scale? Innovate-Data (2017)
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)