Intelligente Analytik für Massendaten

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1. Wang Yue; Rafael Moczalla; Manisha Luthra; Tilmann Rabl

   Deco: Fast and Accurate Decentralized Aggregation of Count-Based Windows in Large-Scale IoT Applications

   In: Proceedings 27th International Conference on Extending Database Technology ( EDBT 2024 ). International Conference on Extending Database Technology (EDBT-2024), 27th International Conference on Extending Database Technology, March 25-28, Italy, ISBN 978-3-89318-091-2, OpenProceeedings.org, 2024.

2. Lawrence Benson; Carsten Binnig; Jan-Micha Bodensohn; Federico Lorenzi; Jigao Luo; Danica Porobic; Tilmann Rabl; Anupam Sanghi; Russell Sears; Pinar Tözün; Tobias Ziegler

   Surprise Benchmarking: The Why, What, and How

   In: Proceedings of the Tenth International Workshop on Testing Database Systems, DBTest 2024, Santiago, Chile, 9 June 2024. International Workshop on Testing Database Systems (DBTest), Pages 1-8, ACM, 2024.

3. Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Zoi Kaoudi; Tilmann Rabl; Volker Markl

   Materialization and Reuse Optimizations for Production Data Science Pipelines

   In: SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD), June 12-17, Philadelphia, USA, The ACM Special Interest Group on Management of Data, 2022.

4. Clemens Lutz; Sebastian Breß; Steffen Zeuch; Tilmann Rabl; Volker Markl

   Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects

   In: SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2022), June 12-17, Philadelphia, PA, USA, Pages 1017-1032, ISBN 978-1-4503-9249-5, ACM, 2022.

5. Bonaventura Del Monte; Steffen Zeuch; Tilmann Rabl; Volker Markl

   Rethinking Stateful Stream Processing with RDMA

   In: SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2022), June 12-17, Philadelphia, PA, USA, Pages 1078-1092, ISBN 978-1-4503-9249-5, ACM, 2022.

6. Clemens Lutz; Sebastian Breß; Steffen Zeuch; Tilmann Rabl; Volker Markl

   Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects

   In: David Maier; Rachel Pottinger (Hrsg.). Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2020), June 14-19, Portland, OR, USA, Pages 1633-1649, ISBN 978-1-4503-6735-6, The Association for Computing Machinery, 2020.

7. Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Ziawasch Abedjan; Tilmann Rabl; Volker Markl

   Optimizing Machine Learning Workloads in Collaborative Environments

   In: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD), New York, NY, USA, SIGMOD ’20, ISBN 9781450367356, Association for Computing Machinery, 2020.

8. 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

   In: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2020), Pages 2487-2503, ACM, 2020.

9. Tilmann Rabl Jeyhun Karimov; Tilmann Rabl; Volker Markl

   AStream: Ad-hoc Shared Stream Processing

   In: SIGMOD '19: Proceedings of the 2019 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2019), June 30 - July 5, Amsterdam, Netherlands, Pages 607-622, ISBN 978-1-4503-5643-5, ACM, New York, NY, 6/2019.

10. Adrian Bartnik; Bonaventura Del Monte; Tilmann Rabl; Volker Markl

    On-the-fly Reconfiguration of Query Plans for Stateful Stream Processing Engines

    In: Datenbanksysteme für Business, Technologie und Web (BTW 2019). GI-Fachtagungen (BTW), Fachtagung für Datenbanksysteme für Business, Technologie und Web (BTW), March 4-8, Rostock, Germany, Gesellschaft für Informatik, Bonn, 2019.

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