Philipp Grulich

Researcher at Technische Universität Berlin working with Volker Markl at DIMA and IAM.

I am a Research Associate at TU Berlin working on stream processing systems, modern hardware, fog-computing, big-data systems, and scalable data infrastructures. Prior to that, I graduated with a M.Sc. in computer science in March 2019 from TU-Berlin, specializing in big data analytics systems. During my masters, I spend two quarters as an exchange student at UC Santa Cruz and worked together with Faisal Nawab on Collaborative Data Processing in fog infrastructures. In my Master's thesis, I worked on query compilation for stream processing to fully utilize modern hardware. I received my B.Sc. degree at Hamburg University of Applied Sciences.



Philipp Grulich

Address

Technische Universität Berlin
- Room EN 708 -
Fak. IV, FG DIMA, Sekr. EN7
Einsteinufer 17, 10587 Berlin, Germany

e-mail

lastname@tu-berlin.de

Github

philippgrulich

Publications

EDBT 2020
Disco: Efficient Distributed Window Aggregation
Lawrence Benson, Philipp M. Grulich, Steffen Zeuch, Volker Markl and Tilmann Rabl. International Conference on Extending Database Technology (EDBT), 2020.
CIDR 2020
PDF
The NebulaStream Platform: Data and Application Management for the Internet of Things
Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian Breß, Jonas Traub, Volker Markl. Conference on Innovative Data Systems Research (CIDR), 2020. [BibTeX]
DEBS 2019
Generating Reproducible Out-of-Order Data Streams
Philipp M. Grulich, Jonas Traub, Asterios Katsifodimos, Sebastian Breß, Tilmann Rabl, Volker Markl. ACM International Conference on Distributed and Event-based Systems (DEBS), 2019. [BibTeX]
EDBT 2019
Efficient Window Aggregation with General Stream Slicing
Jonas Traub, Philipp M. Grulich, Alejandro Rodríguez Cuéllar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl. In International Conference on Extending Database Technology (EDBT), 2019. [BibTeX]
VLDB 2018
PDF
Collaborative Edge and Cloud Neural Networks for Real-Time Video Processing
Philipp M. Grulich, Faisal Nawab. Proceedings of the VLDB Endowment (PVLDB), 2018. [BibTeX]
ICDE 2018
Git PDF
Scotty: Efficient Window Aggregation for out-of-order Stream Processing
Jonas Traub, Philipp M. Grulich, Alejandro Rodríguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl. IEEE International Conference on Data Engineering (ICDE), 2018. [BibTeX]
EDBT 2018
Git PDF
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. In International Conference on Extending Database Technology (EDBT), 2018. [BibTeX]
EDBT 2017
Git PDF
I²: Interactive Real-Time Visualization for Streaming Data
Jonas Traub, Nikolaas Steenbergen, Philipp M. Grulich, Tilmann Rabl, and Volker Markl. Proceedings of the 20th International Conference on Extending Database Technology (EDBT'17), March 21-24, 2017, Venice, Italy. [BibTeX]

Talks / Miscellaneous

FlinkForward 2018
Slides Rec
Talk - Efficient Window Aggregation with Stream Slicing
Jonas Traub, Philipp M. Grulich.
FlinkForward, Berlin, 2018. [BibTeX]
FlinkForward 2017
Slides Rec
Talk - I²: Interactive Real-Time Visualization for Streaming Data with Apache Flink and Apache Zeppelin
Jonas Traub, Philipp M. Grulich. FlinkForward, Berlin, 2017. [BibTeX]

Theses & Teaching

Thesis Supervision

  • Lawrence Benson: Efficient Distributed In-Network Window Aggregation
  • Batuhan Tüter: Evaluating Window Aggregation Techniques on Stream Processing Engines

Teaching

Winter Term 2019/2020

Summer Term 2019


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