Philipp M. Grulich

According to our database, Philipp M. Grulich authored at least 31 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Correction to: Survey of window types for aggregation in stream processing systems.

Juliane Verwiebe, Philipp M. Grulich, Jonas Traub, Volker Markl

VLDB J., January, 2024

Query Compilation Without Regrets.

Philipp M. Grulich, Aljoscha P. Lepping, Dwi P. A. Nugroho, Varun Pandey, Bonaventura Del Monte, Steffen Zeuch, Volker Markl

Proc. ACM Manag. Data, 2024

Bridging the Gap: Complex Event Processing on Stream Processing Systems.

Ariane Ziehn, Philipp M. Grulich, Steffen Zeuch, Volker Markl

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

Benchmarking Stream Join Algorithms on GPUs: A Framework and its Application to the State-of-the-art.

Dwi P. A. Nugroho, Philipp M. Grulich, Steffen Zeuch, Clemens Lutz, Stefano Bortoli, Volker Markl

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023

Survey of window types for aggregation in stream processing systems.

Juliane Verwiebe, Philipp M. Grulich, Jonas Traub, Volker Markl

VLDB J., September, 2023

Query compilation for modern data processing environments.

Philipp Marian Grulich

PhD thesis, 2023

Showcasing Data Management Challenges for Future IoT Applications with NebulaStream.

Aljoscha P. Lepping, Hoang Mi Pham, Laura Mons, Balint Rueb, Philipp M. Grulich, Ankit Chaudhary, Steffen Zeuch, Volker Markl

Proc. VLDB Endow., 2023

Towards Efficient and Secure UDF Execution with BabelfishLib (Lightning Talk).

Philipp M. Grulich, Steffen Zeuch, Volker Markl

Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

Exploiting Access Pattern Characteristics for Join Reordering.

Nils L. Schubert, Philipp M. Grulich, Steffen Zeuch, Volker Markl

Proceedings of the 19th International Workshop on Data Management on New Hardware, 2023

Towards Unifying Query Interpretation and Compilation.

Philipp M. Grulich, Aljoscha P. Lepping, Dwi Prasetyo Adi Nugroho, Varun Pandey, Bonaventura Del Monte, Steffen Zeuch, Volker Markl

Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

2022

NebulaStream: Data Management for the Internet of Things.

Steffen Zeuch, Xenofon Chatziliadis, Ankit Chaudhary, Dimitrios Giouroukis, Philipp M. Grulich, Dwi Prasetyo Adi Nugroho, Ariane Ziehn, Volker Markl

Datenbank-Spektrum, 2022

Algorithms for Windowed Aggregations and Joins on Distributed Stream Processing Systems.

Juliane Verwiebe, Philipp M. Grulich, Jonas Traub, Volker Markl

Datenbank-Spektrum, 2022

2021

Scotty: General and Efficient Open-source Window Aggregation for Stream Processing Systems.

Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl

ACM Trans. Database Syst., 2021

Babelfish: Efficient Execution of Polyglot Queries.

Philipp Marian Grulich, Steffen Zeuch, Volker Markl

Proc. VLDB Endow., 2021

ExDRa: Exploratory Data Science on Federated Raw Data.

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

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Parallelizing Intra-Window Join on Multicores: An Experimental Study.

Shuhao Zhang, Yancan Mao, Jiong He, Philipp M. Grulich, Steffen Zeuch, Bingsheng He, Richard T. B. Ma, Volker Markl

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

An Energy-Efficient Stream Join for the Internet of Things.

Adrian Michalke, Philipp M. Grulich, Clemens Lutz, Steffen Zeuch, Volker Markl

Proceedings of the 17th International Workshop on Data Management on New Hardware, 2021

2020

NebulaStream: Complex Analytics Beyond the Cloud.

Steffen Zeuch, Eleni Tzirita Zacharatou, Shuhao Zhang, Xenofon Chatziliadis, Ankit Chaudhary, Bonaventura Del Monte, Dimitrios Giouroukis, Philipp M. Grulich, Ariane Ziehn, Volker Markl

Open J. Internet Things, 2020

Grizzly: Efficient Stream Processing Through Adaptive Query Compilation.

Philipp M. Grulich, Sebastian Breß, Steffen Zeuch, Jonas Traub, Janis von Bleichert, Zongxiong Chen, Tilmann Rabl, Volker Markl

Proceedings of the 2020 International Conference on Management of Data, 2020

Disco: Efficient Distributed Window Aggregation.

Lawrence Benson, Philipp M. Grulich, Steffen Zeuch, Volker Markl, Tilmann Rabl

Proceedings of the 23rd International Conference on Extending Database Technology, 2020

The NebulaStream Platform for Data and Application Management in the Internet of Things.

Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian Breß, Jonas Traub, Volker Markl

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

Efficient Window Aggregation with General Stream Slicing.

Jonas Traub, Philipp M. Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl

Proceedings of the Advances in Database Technology, 2019

Generating Reproducible Out-of-Order Data Streams.

Philipp M. Grulich, Jonas Traub, Sebastian Breß, Asterios Katsifodimos, Volker Markl, Tilmann Rabl

Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems, 2019

2018

Collaborative Edge and Cloud Neural Networks for Real-Time Video Processing.

Philipp M. Grulich, Faisal Nawab

Proc. VLDB Endow., 2018

Scotty: Efficient Window Aggregation for Out-of-Order Stream Processing.

Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive Windowing.

Philipp M. Grulich, René Saitenmacher, Jonas Traub, Sebastian Breß, Tilmann Rabl, Volker Markl

Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017

Scalable real-time processing with Spark Streaming: implementation and design of a Car Information System.

Philipp M. Grulich

CoRR, 2017

Bringing Big Data into the Car: Does it Scale?

Philipp M. Grulich, Olaf Zukunft

Proceedings of the International Conference on Big Data Innovations and Applications, 2017

Smart Stream-Based Car Information Systems that Scale: An Experimental Evaluation.

Philipp M. Grulich, Olaf Zukunft

Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017

I²: Interactive Real-Time Visualization for Streaming Data.

Jonas Traub, Nikolaas Steenbergen, Philipp M. Grulich, Tilmann Rabl, Volker Markl

Proceedings of the 20th International Conference on Extending Database Technology, 2017

STREAMLINE - Streamlined Analysis of Data at Rest and Data in Motion.

Philipp M. Grulich, Tilmann Rabl, Volker Markl, Csaba István Sidló, András A. Benczúr

Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017), 2017