Prof. Dr. Tilmann Rabl


We try to keep an up to date list of all our publications. If you are interested in a PDF that we have not uploaded yet, feel free to send us an email to get a copy. All recent publications you will find below. For older, please click appropriate year.

Publications of the years 202320222021, 2020, 2019, 2018, 20172016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007


  • Distributed Machine Learning-but at what COST?. Boden, Christoph; Rabl, Tilmann; Markl, Volker in Machine Learning Systems Workshop at the 2017 Conference on Neural Information Processing Systems (2017).
  • Big Stream Processing Systems (Dagstuhl Seminar 17441). Rabl, Tilmann; Sakr, Sherif; Hirzel, Martin in Dagstuhl Reports (2017). 7(10) 111–138.
  • PEEL: A Framework for Ben... - Download
    PEEL: A Framework for Benchmarking Distributed Systems and Algorithms. Boden, Christoph; Alexandrov, Alexander; Kunft, Andreas; Rabl, Tilmann; Markl, Volker (2017). 9–24.
  • Query Centric Partitionin... - Download
    Query Centric Partitioning and Allocation for Partially Replicated Database Systems. Rabl, Tilmann; Jacobsen, Hans-Arno (2017). 315–330.
  • Benchmarking Data Flow Sy... - Download
    Benchmarking Data Flow Systems for Scalable Machine Learning. Boden, Christoph; Spina, Andrea; Rabl, Tilmann; Markl, Volker (2017). 1–10.
  • I²: Interactive Real-Tim... - Download
    I²: Interactive Real-Time Visualization for Streaming Data. Traub, Jonas; Steenbergen, Nikolaas; Grulich, Philipp; Rabl, Tilmann; Markl, Volker (2017). 526–529.
  • PROTEUS: Scalable Online ... - Download
    PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization. Monte, Bonaventura Del; Karimov, Jeyhun; Mahdiraji, Alireza Rezaei; Rabl, Tilmann; Markl, Volker (2017).