Steffen Zeuch

Orcid: 0000-0002-4082-7788

According to our database1, Steffen Zeuch authored at least 48 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance.
Proc. VLDB Endow., February, 2024

Efficient Placement of Decomposable Aggregation Functions for Stream Processing over Large Geo-Distributed Topologies.
Proc. VLDB Endow., February, 2024

Fault Tolerance Placement in the Internet of Things.
Proc. ACM Manag. Data, 2024

Query Compilation Without Regrets.
Proc. ACM Manag. Data, 2024

Bridging the Gap: Complex Event Processing on Stream Processing Systems.
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.
Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

Using and Enhancing NebulaStream - A Tutorial.
Proceedings of the 18th ACM International Conference on Distributed and Event-based Systems, 2024

2023
Showcasing Data Management Challenges for Future IoT Applications with NebulaStream.
Proc. VLDB Endow., 2023

Towards Efficient and Secure UDF Execution with BabelfishLib (Lightning Talk).
Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

Incremental Stream Query Merging.
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

Exploiting Access Pattern Characteristics for Join Reordering.
Proceedings of the 19th International Workshop on Data Management on New Hardware, 2023

Towards Unifying Query Interpretation and Compilation.
Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

Workload Prediction for IoT Data Management Systems.
Proceedings of the Datenbanksysteme für Business, 2023

2022
IoT-PMA: Patient Health Monitoring in Medical IoT Ecosystems.
Open J. Internet Things, 2022

NebulaStream: Data Management for the Internet of Things.
Datenbank-Spektrum, 2022

Rethinking Stateful Stream Processing with RDMA.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines [Abstract].
Proceedings of the LWDA 2022 Workshops: FGWM, 2022

2021
Babelfish: Efficient Execution of Polyglot Queries.
Proc. VLDB Endow., 2021

Streaming Data through the IoT via Actor-Based Semantic Routing Trees.
Open J. Internet Things, 2021

Monitoring of Stream Processing Engines Beyond the Cloud: An Overview.
Open J. Internet Things, 2021


Parallelizing Intra-Window Join on Multicores: An Experimental Study.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

An Energy-Efficient Stream Join for the Internet of Things.
Proceedings of the 17th International Workshop on Data Management on New Hardware, 2021

2020
Dynamic Parameter Allocation in Parameter Servers.
Proc. VLDB Endow., 2020

NebulaStream: Complex Analytics Beyond the Cloud.
Open J. Internet Things, 2020

Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines.
Proceedings of the 2020 International Conference on Management of Data, 2020

Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects.
Proceedings of the 2020 International Conference on Management of Data, 2020

Grizzly: Efficient Stream Processing Through Adaptive Query Compilation.
Proceedings of the 2020 International Conference on Management of Data, 2020

Scaling a Public Transport Monitoring System to Internet of Things Infrastructures.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

Governor: Operator Placement for a Unified Fog-Cloud Environment.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

Disco: Efficient Distributed Window Aggregation.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

A survey of adaptive sampling and filtering algorithms for the internet of things.
Proceedings of the 14th ACM International Conference on Distributed and Event-based Systems, 2020

The NebulaStream Platform for Data and Application Management in the Internet of Things.
Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019
Analyzing Efficient Stream Processing on Modern Hardware.
Proc. VLDB Endow., 2019

Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs.
Proceedings of the 15th International Workshop on Data Management on New Hardware, 2019

An Overview of Hawk: A Hardware-Tailored Code Generator for the Heterogeneous Many Core Age.
Proceedings of the Datenbanksysteme für Business, 2019

2018
Query Execution on Modern CPUs.
PhD thesis, 2018

Generating custom code for efficient query execution on heterogeneous processors.
VLDB J., 2018

Efficient and Scalable k‑Means on GPUs.
Datenbank-Spektrum, 2018

Exploiting Automatic Vectorization to Employ SPMD on SIMD Registers.
Proceedings of the 34th IEEE International Conference on Data Engineering Workshops, 2018

Efficient k-means on GPUs.
Proceedings of the 14th International Workshop on Data Management on New Hardware, 2018

2016
Non-Invasive Progressive Optimization for In-Memory Databases.
Proc. VLDB Endow., 2016

Cache-Sensitive Skip List: Efficient Range Queries on Modern CPUs.
Proceedings of the Data Management on New Hardware, 2016

2015
Selection on Modern CPUs.
Proceedings of the 3rd VLDB Workshop on In-Memory Data Mangement and Analytics, 2015

2014
QTM: Modelling Query Execution with Tasks.
Proceedings of the International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures, 2014

Adapting Tree Structures for Processing with SIMD Instructions.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

Running Data-Intensive Services on Multicores Architectures.
Proceedings of the 8th Joint Workshop of the German Research Training Groups in Computer Science, 2014


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