Running Data-Intensive Services on Multicores Architectures. - Steffen Zeuch (Joint Workshop of the German Research Training Groups in Computer Science, 2014)

Adapting Tree Structures for Processing with SIMD Instructions. - Steffen Zeuch; Johann-Christoph Freytag; Frank Huber (EDBT, 2014)

QTM: Modelling Query Execution with Tasks. - Steffen Zeuch; Johann-Christoph Freytag (ADMS@VLDB, 2014)

Selection on Modern CPUs. - Steffen Zeuch; Johann-Christoph Freytag (IMDM@VLDB, 2015)

Cache-Sensitive Skip List: Efficient Range Queries on Modern CPUs. - Stefan Sprenger 001; Steffen Zeuch; Ulf Leser (ADMS/IMDM@VLDB, 2016)

Non-Invasive Progressive Optimization for In-Memory Databases. - Steffen Zeuch; Holger Pirk; Johann-Christoph Freytag (Proc. VLDB Endow., 2016)

Efficient k-means on GPUs. - Clemens Lutz; Sebastian Breß; Tilmann Rabl; Steffen Zeuch; Volker Markl (DaMoN, 2018)

Exploiting Automatic Vectorization to Employ SPMD on SIMD Registers. - Stefan Sprenger 001; Steffen Zeuch; Ulf Leser (ICDE Workshops, 2018)

Efficient and Scalable k‑Means on GPUs. - Clemens Lutz; Sebastian Breß; Tilmann Rabl; Steffen Zeuch; Volker Markl (Datenbank-Spektrum, 2018)

Generating custom code for efficient query execution on heterogeneous processors. - Sebastian Breß; Bastian Köcher; Henning Funke; Steffen Zeuch; Tilmann Rabl; Volker Markl (VLDB J., 2018)

Query Execution on Modern CPUs. - Steffen Zeuch (2018)

An Overview of Hawk: A Hardware-Tailored Code Generator for the Heterogeneous Many Core Age. - Sebastian Breß; Henning Funke; Steffen Zeuch; Tilmann Rabl; Volker Markl (BTW (Workshops), 2019)

Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs. - Viktor Rosenfeld; Sebastian Breß; Steffen Zeuch; Tilmann Rabl; Volker Markl (DaMoN, 2019)

Analyzing Efficient Stream Processing on Modern Hardware. - Steffen Zeuch; Sebastian Breß; Tilmann Rabl; Bonaventura Del Monte; Jeyhun Karimov; Clemens Lutz; Manuel Renz; Jonas Traub; Volker Markl (Proc. VLDB Endow., 2019)

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 (CIDR, 2020)

A survey of adaptive sampling and filtering algorithms for the internet of things. - Dimitrios Giouroukis; Alexander Dadiani; Jonas Traub; Steffen Zeuch; Volker Markl (DEBS, 2020)

Disco: Efficient Distributed Window Aggregation. - Lawrence Benson; Philipp M. Grulich; Steffen Zeuch; Volker Markl; Tilmann Rabl (EDBT, 2020)

Governor: Operator Placement for a Unified Fog-Cloud Environment. - Ankit Chaudhary; Steffen Zeuch; Volker Markl (EDBT, 2020)

Scaling a Public Transport Monitoring System to Internet of Things Infrastructures. - Haralampos Gavriilidis; Adrian Michalke; Laura Mons; Steffen Zeuch; Volker Markl (EDBT, 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 (SIGMOD Conference, 2020)

Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects. - Clemens Lutz; Sebastian Breß; Steffen Zeuch; Tilmann Rabl; Volker Markl (SIGMOD Conference, 2020)

Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines. - Bonaventura Del Monte; Steffen Zeuch; Tilmann Rabl; Volker Markl (SIGMOD Conference, 2020)

NebulaStream: Complex Analytics Beyond the Cloud. - Steffen Zeuch; Eleni Tzirita Zacharatou; Shuhao Zhang 001; Xenofon Chatziliadis; Ankit Chaudhary; Bonaventura Del Monte; Dimitrios Giouroukis; Philipp M. Grulich; Ariane Ziehn; Volker Markl (Open J. Internet Things, 2020)

Dynamic Parameter Allocation in Parameter Servers. - Alexander Renz-Wieland; Rainer Gemulla; Steffen Zeuch; Volker Markl (Proc. VLDB Endow., 2020)

An Energy-Efficient Stream Join for the Internet of Things. - Adrian Michalke; Philipp M. Grulich; Clemens Lutz; Steffen Zeuch; Volker Markl (DaMoN, 2021)

Parallelizing Intra-Window Join on Multicores: An Experimental Study. - Shuhao Zhang 001; Yancan Mao; Jiong He; Philipp M. Grulich; Steffen Zeuch; Bingsheng He; Richard T. B. Ma; Volker Markl (SIGMOD Conference, 2021)

ExDRa: Exploratory Data Science on Federated Raw Data. - Sebastian Baunsgaard; Matthias Boehm 001; Ankit Chaudhary; Behrouz Derakhshan; Stefan Geißelsöder; Philipp M. Grulich; Michael Hildebrand; Kevin Innerebner; Volker Markl; Claus Neubauer; Sarah Osterburg; Olga Ovcharenko; et al. (SIGMOD Conference, 2021)

Monitoring of Stream Processing Engines Beyond the Cloud: An Overview. - Xenofon Chatziliadis; Eleni Tzirita Zacharatou; Steffen Zeuch; Volker Markl (Open J. Internet Things, 2021)

Streaming Data through the IoT via Actor-Based Semantic Routing Trees. - Dimitrios Giouroukis; Johannes Jestram; Steffen Zeuch; Volker Markl (Open J. Internet Things, 2021)

Babelfish: Efficient Execution of Polyglot Queries. - Philipp Marian Grulich; Steffen Zeuch; Volker Markl (Proc. VLDB Endow., 2021)

Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines [Abstract]. - Bonaventura Del Monte; Steffen Zeuch; Tilmann Rabl; Volker Markl (LWDA, 2022)

Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects. - Clemens Lutz; Sebastian Breß; Steffen Zeuch; Tilmann Rabl; Volker Markl (SIGMOD Conference, 2022)

Rethinking Stateful Stream Processing with RDMA. - Bonaventura Del Monte; Steffen Zeuch; Tilmann Rabl; Volker Markl (SIGMOD Conference, 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)

IoT-PMA: Patient Health Monitoring in Medical IoT Ecosystems. - Ariane Ziehn; Christian Mandel; Kathrin Stich; Rolf Dembinski; Karin Hochbaum; Steffen Zeuch; Volker Markl (Open J. Internet Things, 2022)

Workload Prediction for IoT Data Management Systems. - David Burrell; Xenofon Chatziliadis; Eleni Tzirita Zacharatou; Steffen Zeuch; Volker Markl (BTW, 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 (CIDR, 2023)

Exploiting Access Pattern Characteristics for Join Reordering. - Nils L. Schubert; Philipp M. Grulich; Steffen Zeuch; Volker Markl (DaMoN, 2023)

Incremental Stream Query Merging. - Ankit Chaudhary; Steffen Zeuch; Volker Markl; Jeyhun Karimov (EDBT, 2023)

Towards Efficient and Secure UDF Execution with BabelfishLib (Lightning Talk). - Philipp M. Grulich; Steffen Zeuch; Volker Markl (VLDB Workshops, 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)

Using and Enhancing NebulaStream - A Tutorial. - Steffen Zeuch; Ankit Chaudhary; Viktor Rosenfeld; Taha Tekdogan; Adrian Michalke; Matthis Gördel; Ariane Ziehn; Volker Markl (DEBS, 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 (EDBT, 2024)

Bridging the Gap: Complex Event Processing on Stream Processing Systems. - Ariane Ziehn; Philipp M. Grulich; Steffen Zeuch; Volker Markl (EDBT, 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)

Fault Tolerance Placement in the Internet of Things. - Anastasiia Kozar; Bonaventura Del Monte; Steffen Zeuch; Volker Markl (Proc. ACM Manag. Data, 2024)

Efficient Placement of Decomposable Aggregation Functions for Stream Processing over Large Geo-Distributed Topologies. - Xenofon Chatziliadis; Eleni Tzirita Zacharatou; Alphan Eracar; Steffen Zeuch; Volker Markl (Proc. VLDB Endow., 2024)

POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance. - David Justen; Daniel Ritter 001; Campbell Fraser; Andrew Lamb; Nga Tran 001; Allison Lee; Thomas Bodner 001; Mhd Yamen Haddad; Steffen Zeuch; Volker Markl; Matthias Boehm 001 (Proc. VLDB Endow., 2024)

Incremental Stream Query Merging In Action. - Ankit Chaudhary; Ninghong Zhu; Laura Mons; Steffen Zeuch; Varun Pandey; Volker Markl (BTW, 2025)

Enabling Complex Event Processing in NebulaStream. - Ariane Ziehn; Lily Seidl; Samira Akili; Steffen Zeuch; Volker Markl (EDBT, 2025)

Incremental Stream Query Placement in Massively Distributed and Volatile Infrastructures. - Ankit Chaudhary; Kaustubh Beedkar; Jeyhun Karimov; Felix Lang; Steffen Zeuch; Volker Markl (ICDE, 2025)

Chameleon: Adaptive and Scalable Stream Processing Over Sensor Sources. - Dimitrios Giouroukis; Varun Pandey; Steffen Zeuch; Volker Markl (ICDE, 2025)

Mobility Stream Processing on NebulaStream and MEOS. - Mariana M. Garcez Duarte; Dwi P. A. Nugroho; Georges Tod; Evert Bevernage; Pieter Moelans; Emine Tas; Esteban Zimányi; Mahmoud Attia Sakr; Steffen Zeuch; Volker Markl (SIGMOD Conference Companion, 2025)

NebulaStream: An Extensible, High-Performance Streaming Engine for Multi-Modal Edge Applications. - Adrian Michalke; Aljoscha P. Lepping; Volker Markl; Ricardo Martinez; Nils L. Schubert; Lukas Schwerdtfeger; Taha Tekdogan; Steffen Zeuch; Ariane Ziehn; Christoph Falkensteiner; Kyle Krüger; Alexander Meyer; et al. (SIGMOD Conference Companion, 2025)

Unraveling the Impact of Window Semantics: Optimizing Join Order for Efficient Stream Processing. - Ariane Ziehn; Jan Szlang; Steffen Zeuch; Volker Markl (Proc. VLDB Endow., 2025)