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Publikationen

Seite 2 von 6.

  1. 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.

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

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

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1910.07867, Pages 1-11, arXiv, 2020.

  3. Julius Hülsmann; Jonas Traub; Volker Markl

    Demand-based sensor data gathering with multi-query optimization

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 13, No. 12, Pages 2801-2804, VLDB Endowment, 2020.

  4. Dimitrios Giouroukis; Alexander Dadiani; Jonas Traub; Steffen Zeuch; Volker Markl

    A Survey of Adaptive Sampling and Filtering Algorithms for the Internet of Things

    In: DEBS'20: 14th ACM International Conference on Distributed and Event-Based Systems. ACM International Conference on Distributed and Event-Based Systems (DEBS-2020), ACM, 2020.

  5. 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.

  6. 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.

  7. A Comparison of Distributed Stream Processing Systems forTime Series Analysis

    In: 18th Symposium of Database systems for Business, Technology and Web. GI-Fachtagungen (BTW-2019), Student program, located at 18th, March 4-8, Rostock, Germany, University of Rostock, 3/2019.

  8. 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.

  9. Dimitrios Giouroukis; Julius Hülsmann; Janis von Bleichert; Morgan Geldenhuys; Tim Stullich; Felipe Oliveira Gutierrez; Jonas Traub; Kaustubh Beedkar; Volker Markl

    Resense: Transparent Record and Replay of Sensor Data in the Internet of Things

    In: 21st International Conference on Extending Database Technology (EDBT). International Conference on Extending Database Technology (EDBT-2018), 21st, March 26-29, Vienna, Austria, OpenProceedings, 2019.

  10. Jonas Traub; Philipp Grulich; Alejandro Rodríguez Cuéllar; Sebastian Breß; Asterios Katsifodimos; Tilmann Rabl; Volker Markl

    Efficient Window Aggregation with General Stream Slicing

    In: 22th International Conference on Extending Database Technology (EDBT). International Conference on Extending Database Technology (EDBT-2019), 22th, March 26-29, Lisbon, Portugal, OpenProceedings, 2019.