Hasso-Plattner-Institut
Prof. Dr. Tilmann Rabl
 

Publications

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

2020

  • LogStore: A Workload-awar... - Download
    1.
    Menon, P., Qadah, T.M., Rabl, T., Sadoghi, M., Jacobsen, H.-A.: LogStore: A Workload-aware, Adaptable Key-Value Store on Hybrid Storage Systems. Transactions on Knowledge and Data Engineering. (2020).
     
  • Grand Challenge: Incremen... - Download
    2.
    Silva, P., Yue, W., Rabl, T.: Grand Challenge: Incremental Stream Query Analytics. Proceedings of the 14th ACM International Conference on Distributed and Event-based Systems (DEBS ’20). p. 6 (2020).
     
  • Quantifying TPCH Choke Po... - Download
    3.
    Dreseler, M., Boissier, M., Rabl, T., Uflacker, M.: Quantifying TPCH Choke Points and Their Optimizations [Experiments and Analyses]. Proceedings of the VLDB Endowment (2020).
     
  • Optimizing Machine Learni... - Download
    4.
    Derakhshan, B., Mahdiraji, A.R., Abedjan, Z., Rabl, T., Markl, V.: Optimizing Machine Learning Workloads in Collaborative Environments. ACM SIGMOD/PODS International Conference on Management of Data, Portland, OR, USA (2020).
     
  • Grizzly: Efficient Stream... - Download
    5.
    Grulich, P.M., Breß, S., Zeuch, S., Traub, J., von Bleichert, J., Chen, Z., Rabl, T., Markl, V.: Grizzly: Efficient Stream Processing Through Adaptive Query Compilation. ACM SIGMOD/PODS International Conference on Management of Data, Portland, OR, USA (2020).
     
  • Pump Up the Volume: Proce... - Download
    6.
    Lutz, C., Breß, S., Zeuch, S., Rabl, T., Markl, V.: Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects. ACM SIGMOD/PODS International Conference on Management of Data, Portland, OR, USA (2020).
     
  • Rhino: Efficient Manageme... - Download
    7.
    Del Monte, B., Zeuch, S., Rabl, T., Markl, V.: Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines. ACM SIGMOD/PODS International Conference on Management of Data, Portland, OR, USA (2020).
     
  • A Distributed Data Exchan... - Download
    8.
    Kaitoua, A., Rabl, T., Markl, V.: A Distributed Data Exchange Engine for Polystores. it-Information Technology. (2020).
     
  • Disco: Efficient Distribu... - Download
    9.
    Benson, L., Grulich, P.M., Zeuch, S., Markl, V., Rabl, T.: Disco: Efficient Distributed Window Aggregation. Proceedings of the 23rd International Conference on Extending Database Technology (EDBT). OpenProceedings.org (2020).
     
  • Rethinking Message Broker... - Download
    10.
    Makait, H.: Rethinking Message Brokers on RDMA and NVM. Proceedings of the 2020 International Conference on Management of Data. ACM, Portland, OR, USA (2020).
     
  • AJoin: Ad-hoc Stream Join... - Download
    11.
    Karimov, J., Rabl, T., Markl, V.: AJoin: Ad-hoc Stream Joins at Scale. Proceedings of the VLDB Endowment (2020).