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

2024

  • Deco: Fast and Accurate D... - Download
    1.
    Wang, Y., Rafael, M., Manisha, L., Tilmann, R.: Deco: Fast and Accurate Decentralized Aggregation of Count-Based Windows in Large-Scale IoT Applications. 27th International Conference on Extending Database Technology (EDBT ’24). (2024).
     

2023

  • Evaluating SIMD Compiler-... - Download
    1.
    Benson, L., Ebeling, R., Rabl, T.: Evaluating SIMD Compiler-Intrinsics for Database Systems. 14th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processors and Storage Architectures. (2023).
     
  • TPCx-AI - An Industry Sta... - Download
    2.
    Brücke, C., Härtling, P., Escobar Palacios, R.D., Patel, H., Rabl, T.: TPCx-AI - An Industry Standard Benchmark for Artificial Intelligence and Machine Learning Systems. Proceedings of the VLDB Endowment. 16, 3649–3661 (2023).
     
  • Analyzing Vectorized Hash... - Download
    3.
    Böther, M., Benson, L., Klimovic, A., Rabl, T.: Analyzing Vectorized Hash Tables Across CPU Architectures. Proceedings of the VLDB Endowment. 16, 2755–2768 (2023).
     
  • Desis: Efficient Window A... - Download
    4.
    Yue, W., Benson, L., Rabl, T.: Desis: Efficient Window Aggregation in Decentralized Networks. 26th International Conference on Extending Database Technology (EDBT ’23) (2023).
     
  • Efficient Multi-Model Man... - Download
    5.
    Strassenburg, N., Kupfer, D., Kowal, J., Rabl, T.: Efficient Multi-Model Management. 26th International Conference on Extending Database Technology (EDBT ’23). (2023).
     
  • RMG Sort: Radix-Partition... - Download
    6.
    Ilic, I., Tolovski, I., Rabl, T.: RMG Sort: Radix-Partitioning-Based Multi-GPU Sorting. In: et al., B.K.-R. (ed.) Datenbanksysteme für Business, Technologie und Web (BTW 2023) (2023).
     
  • 7.
    Mahling, F., Rößler, P., Bodner, T., Rabl, T.: BabelMR: A Polyglot Framework for Serverless MapReduce. Workshop on Serverless Data Analytics. (2023).
     

2022

  • Rethinking Stateful Strea... - Download
    1.
    Del Monte, B., Zeuch, S., Rabl, T., Markl, V.: Rethinking Stateful Stream Processing with RDMA. ACM SIGMOD International Conference on Management of Data (SIGMOD ’22) (2022).
     
  • Darwin: Scale-In Stream P... - Download
    2.
    Benson, L., Rabl, T.: Darwin: Scale-In Stream Processing. 12th Annual Conference on Innovative Data Systems Research (CIDR ’22) (2022).
     
  • Evaluating Multi-GPU Sort... - Download
    3.
    Maltenberger, T., Ilic, I., Tolovski, I., Rabl, T.: Evaluating Multi-GPU Sorting with Modern Interconnects. 2022 ACM SIGMOD International Conference on Management of Data (SIGMOD ’22) (2022).
     
  • DAPHNE: An Open and Exten... - Download
    4.
    Damme, P., Birkenbach, M., Bitsakos, C., Boehm, M., Bonnet, P., Ciorba, F., Dokter, M., Dowgiallo, P., Eleliemy, A., Faerber, C., Goumas, G., Habich, D., Hedam, N., Hofer, M., Huang, W., Innerebner, K., Karakostas, V., Kern, R., Kosar, T., Krause, A., Krems, D., Laber, A., Lehner, W., Mier, E., Rabl, T., Ratuszniak, P., Silva, P., Skuppin, N., Starzacher, A., Steinwender, B., Tolovski, I., Tözün, P., Ulatowski, W., Wang, Y., Wrosz, I., Zamuda, A., Zhang, C., Xiang Zhu, X.: DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines. 12th Annual Conference on Innovative Data Systems Research (CIDR ’22) (2022).
     
  • Triton Join: Efficiently ... - Download
    5.
    Lutz, C., Breß, S., Zeuch, S., Rabl, T., Markl, V.: Triton Join: Efficiently Scaling the Operator State on GPUs with Fast Interconnects. ACM SIGMOD International Conference on Management of Data (SIGMOD ’22) (2022).
     
  • Efficiently Managing Deep... - Download
    6.
    Strassenburg, N., Tolovski, I., Rabl, T.: Efficiently Managing Deep Learning Models in a Distributed Environment. 25th International Conference on Extending Database Technology (EDBT ’22) (2022).
     
  • Imperative or Functional ... - Download
    7.
    Gévay, G.E., Rabl, T., Breß, S., Madai-Tahy, L., Quiané-Ruiz, J.-A., Markl, V.: Imperative or Functional Control Flow Handling: Why not the Best of Both Worlds?. ACM SIGMOD Record. 51, 1–8 (2022).
     
  • PerMA-Bench: Benchmarking... - Download
    8.
    Benson, L., Papke, L., Rabl, T.: PerMA-Bench: Benchmarking Persistent Memory Access. Proceedings of the VLDB Endowment. 15, 2463–2476 (2022).
     
  • Evaluating In-Memory Hash... - Download
    9.
    Maltenberger, T., Lehmann, T., Benson, L., Rabl, T.: Evaluating In-Memory Hash-Joins on Persistent Memory. 25th International Conference on Extending Database Technology (EDBT ’22) (2022).
     

2021

  • LogStore: A Workload-awar... - Download
    1.
    Menon, P., M. Qadah, T., Rabl, T., Sadoghi, M., Jacobsen, H.-A.: LogStore: A Workload-aware, Adaptable Key-Value Store on Hybrid Storage Systems. 37th IEEE International Conference on Data Engineering. (2021).
     
  • A Survey of Big Data, Hig... - Download
    2.
    Ihde, N., Marten, P., Eleliemy, A., Poerwawinata, G., Silva, P., Tolovski, I., Ciorba, M.F., Rabl, T.: A Survey of Big Data, High Performance Computing, and Machine Learning Benchmarks. In: Nambiar, R. and Poess, M. (eds.) Lecture Notes in Computer Science. pp. 1–21 (2021).
     
  • Drop It In Like It's Hot:... - Download
    3.
    Böther, M., Kißig, O., Benson, L., Rabl, T.: Drop It In Like It’s Hot: An Analysis of Persistent Memory as a Drop-in Replacement for NVMe SSDs. International Workshop on Data Managment on New Hardware (DAMON’21), June 20–25, 2021, Virtual Event, China. ACM (2021).
     
  • Viper: An Efficient Hybri... - Download
    4.
    Benson, L., Makait, H., Rabl, T.: Viper: An Efficient Hybrid PMem-DRAM Key-Value Store. Proceedings of the VLDB Endowment. 14, 1544–1556 (2021).
     
  • Scale-Down Experiments on... - Download
    5.
    Böther, M., Rabl, T.: Scale-Down Experiments on TPCx-HS. Big Data in Emergent Distributed Environments (BiDEDE’21), June 20, 2021, Virtual Event, China. ACM (2021).
     
  • Scotty: General and Effic... - Download
    6.
    Traub, J., Grulich, P.M., Cuéllar, A.R., Breß, S., Katsifodimos, A., Rabl, T., Markl, V.: Scotty: General and Efficient Open-Source Window Aggregation for Stream Processing Systems. Transactions on Database Systems. 46, 46 (2021).
     
  • Efficient Control Flow in... - Download
    7.
    Gévay, G.E., Rabl, T., Breß, S., Madai-Tahy, L., Quiané-Ruiz, J.-A., Markl, V.: Efficient Control Flow in Dataflow Systems: When Ease-of-Use Meets High Performance. 37th IEEE International Conference on Data Engineering. (2021).
     
  • Maximizing Persistent Mem... - Download
    8.
    Daase, B., Bollmeier, L.J., Benson, L., Rabl, T.: Maximizing Persistent Memory Bandwidth Utilization for OLAP Workloads. Proceedings of the 2021 International Conference on Management of Data (SIGMOD ’21), June 20--25, 2021, Virtual Event, China. ACM (2021).
     

2020

  • Rhino: Efficient Manageme... - Download
    1.
    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).
     
  • AJoin: Ad-hoc Stream Join... - Download
    2.
    Karimov, J., Rabl, T., Markl, V.: AJoin: Ad-hoc Stream Joins at Scale. Proceedings of the VLDB Endowment (2020).
     
  • A Distributed Data Exchan... - Download
    3.
    Kaitoua, A., Rabl, T., Markl, V.: A Distributed Data Exchange Engine for Polystores. it-Information Technology. (2020).
     
  • Disco: Efficient Distribu... - Download
    4.
    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
    5.
    Makait, H.: Rethinking Message Brokers on RDMA and NVM. Proceedings of the 2020 International Conference on Management of Data. ACM, 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).
     
  • Optimizing Machine Learni... - Download
    7.
    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
    8.
    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).
     
  • Grand Challenge: Incremen... - Download
    9.
    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).
     
  • LogStore: A Workload-awar... - Download
    10.
    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).
     
  • Quantifying TPCH Choke Po... - Download
    11.
    Dreseler, M., Boissier, M., Rabl, T., Uflacker, M.: Quantifying TPCH Choke Points and Their Optimizations [Experiments and Analyses]. Proceedings of the VLDB Endowment (2020).
     

2019

  • Continuous Deployment of ... - Download
    1.
    Derakhshan, B., Mahdiraji, A.R., Rabl, T., Markl, V.: Continuous Deployment of Machine Learning Pipelines. Advances in Database Technology - 22nd International Conference on Extending Database Technology, EDBT 2019, Lisbon, Portugal, March 26-29, 2019. pp. 397–408 (2019).
     
  • Poster: Generating Reprod... - Download
    2.
    Grulich, P.M., Traub, J., Breß, S., Katsifodimos, A., Markl, V., Rabl, T.: Poster: Generating Reproducible Out-of-Order Data Streams. Presented at the (2019).
     
  • Performance Analysis and ... - Download
    3.
    Rosenfeld, V., Breß, S., Zeuch, S., Rabl, T., Markl, V.: Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs. International Workshop on Data Management on New Hardware (DaMoN). ACM (2019).
     
  • An Intermediate Represent... - Download
    4.
    Kunft, A., Katsifodimos, A., Schelter, S., Breß, S., Rabl, T., Markl, V.: An Intermediate Representation for Optimizing Machine Learning Pipelines. Proceedings of the VLDB Endowment. 12, 1553–1567 (2019).
     
  • AStream: Ad-hoc Shared St... - Download
    5.
    Karimov, J., Rabl, T., Markl, V.: AStream: Ad-hoc Shared Stream Processing. Proceedings of the 2019 International Conference on Management of Data. pp. 607–622. ACM (2019).
     
  • Definition of Data Stream... - Download
    6.
    Margara, A., Rabl, T.: Definition of Data Streams. Encyclopedia of Big Data Technologies (2019).
     
  • Muses: Distributed Data M... - Download
    7.
    Kaitoua, A., Rabl, T., Katsifodimos, A., Markl, V.: Muses: Distributed Data Migration System for Polystores. 35th IEEE International Conference on Data Engineering, ICDE 2019, Macao, Macao, April 8-11, 2019. pp. 1602–1605. IEEE (2019).
     
  • Efficient Window Aggregat... - Download
    8.
    Traub, J., Grulich, P.M., Cuellar, A.R., Breß, S., Katsifodimos, A., Rabl, T., Markl, V.: Efficient Window Aggregation with General Stream Slicing. Advances in Database Technology - 22nd International Conference on Extending Database Technology, EDBT 2019, Lisbon, Portugal, March 26-29, 2019. pp. 97–108 (2019).
     
  • On-the-fly Reconfiguratio... - Download
    9.
    Bartnik, A., Monte, B.D., Rabl, T., Markl, V.: On-the-fly Reconfiguration of Query Plans for Stateful Stream Processing Engines. Datenbanksysteme für Business, Technologie und Web (BTW 2019), 18. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS), 4.-8. März 2019, Rostock, Germany, Proceedings. pp. 127–146 (2019).
     
  • An Overview of Hawk: A Ha... - Download
    10.
    Breß, S., Funke, H., Zeuch, S., Rabl, T., Markl, V.: An Overview of Hawk: A Hardware-Tailored Code Generator for the Heterogeneous Many Core Age. Datenbanksysteme für Business, Technologie und Web (BTW 2019), 18. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS), 4.-8. März 2019, Rostock, Germany, Workshopband. pp. 87–90 (2019).
     
  • Analyzing Efficient Strea... - Download
    11.
    Zeuch, S., Breß, S., Rabl, T., Monte, B.D., Karimov, J., Lutz, C., Renz, M., Traub, J., Markl, V.: Analyzing Efficient Stream Processing on Modern Hardware. PVLDB. 12, 516–530 (2019).
     
  • Particulate Matter Matter... - Download
    12.
    Meyer, H.J., Grunert, H., Waizenegger, T., Woltmann, L., Hartmann, C., Wolfgang, L., Esmailoghli, M., Redyuk, S., Martinez, R., Abedjan, Z., Ziehn, A., Rabl, T., Markl, V., Schmitz, C., Devinder Serai, D., Escobar Gava, T.: Particulate Matter Matters - The Data Science Challenge @ BTW 2019. (2019).
     
  • ADABench - Towards an Ind... - Download
    13.
    Rabl, T., Brücke, C., Härtling, P., Stars, S., Palacios, R.E., Patel, H., Srivastava, S., Boden, C., Meiners, J., Schelter, S.: ADABench - Towards an Industry Standard Benchmark for Advanced Anayltics. (2019).
     
  • Explanation of Air Pollut... - Download
    14.
    Esmailoghli, M., Redyuk, S., Martinez, R., Abedjan, Z., Rabl, T., Markl, V.: Explanation of Air Pollution Using External Data Sources. Datenbanksysteme für Business, Technologie und Web (BTW 2019), 18. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS), 4.-8. März 2019, Rostock, Germany, Workshopband. pp. 297–300 (2019).
     

2018

  • Scalable Detection of Con... - Download
    1.
    Grulich, P.M., Saitenmacher, R., Traub, J., Breß, S., Rabl, T., Markl, V.: Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive Windowing. Proceedings of the 21th International Conference on Extending Database Technology, EDBT 2018, Vienna, Austria, March 26-29, 2018. pp. 477–480 (2018).
     
  • Dagstuhl Seminar on Big S... - Download
    2.
    Sakr, S., Rabl, T., Hirzel, M., Carbone, P., Strohbach, M.: Dagstuhl Seminar on Big Stream Processing. SIGMOD Record. 47, 36–39 (2018).
     
  • 3.
    Karimov, J., Rabl, T., Markl, V.: PolyBench: The First Benchmark for Polystores. Performance Evaluation and Benchmarking for the Era of Artificial Intelligence. pp. 24–41. Springer (2018).
     
  • Analysis of TPCx-IoT: The... - Download
    4.
    Poess, M., Nambiar, R., Kulkarni, K., Narasimhadevara, C., Rabl, T., Jacobsen, H.-A.: Analysis of TPCx-IoT: The First Industry Standard Benchmark for IoT Gateway Systems. 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018. pp. 1519–1530. IEEE (2018).
     
  • Benchmarking Distributed ... - Download
    5.
    Boden, C., Rabl, T., Schelter, S., Markl, V.: Benchmarking Distributed Data Processing Systems for Machine Learning Workloads. Performance Evaluation and Benchmarking for the Era of Artificial Intelligence - 10th TPC Technology Conference, TPCTC 2018, Rio de Janeiro, Brazil, August 27-31, 2018, Revised Selected Papers. pp. 42–57 (2018).
     
  • 6.
    Gévay, G.E., Rabl, T., Breß, S., Madai-Tahy, L., Markl, V.: Labyrinth: Compiling Imperative Control Flow to Parallel Dataflows. CoRR. abs/1809.06845, (2018).
     
  • Efficient and Scalable k-... - Download
    7.
    Lutz, C., Breß, S., Rabl, T., Zeuch, S., Markl, V.: Efficient and Scalable k-Means on GPUs. Datenbank-Spektrum. 18, 157–169 (2018).
     
  • Data Management Systems R... - Download
    8.
    Abedjan, Z., Breß, S., Markl, V., Rabl, T., Soto, J.: Data Management Systems Research at TU Berlin. SIGMOD Record. 47, 23–28 (2018).
     
  • Generating Custom Code fo... - Download
    9.
    Breß, S., Köcher, B., Funke, H., Zeuch, S., Rabl, T., Markl, V.: Generating Custom Code for Efficient Query Execution on Heterogeneous Processors. VLDB J. 27, 797–822 (2018).
     
  • Benchmarking Distributed ... - Download
    10.
    Karimov, J., Rabl, T., Katsifodimos, A., Samarev, R., Heiskanen, H., Markl, V.: Benchmarking Distributed Stream Data Processing Engines. 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018. 1507–1518 (2018).
     
  • ScootR: Scaling R Datafra... - Download
    11.
    Kunft, A., Stadler, L., Bonetta, D., Basca, C., Meiners, J., Breß, S., Rabl, T., Fumero, J.J., Markl, V.: ScootR: Scaling R Dataframes on Dataflow Systems. Proceedings of the ACM Symposium on Cloud Computing, SoCC 2018, Carlsbad, CA, USA, October 11-13, 2018. pp. 288–300 (2018).
     
  • Efficient k-Means on GPUs - Download
    12.
    Lutz, C., Breß, S., Rabl, T., Zeuch, S., Markl, V.: Efficient k-Means on GPUs. Proceedings of the 14th International Workshop on Data Management on New Hardware, Houston, TX, USA, June 11, 2018. pp. 1–3 (2018).
     
  • Performance Evaluation an... - Download
    13.
    Liu, Y., Guo, S., Hu, S., Rabl, T., Jacobsen, H.-A., Li, J., Wang, J.: Performance Evaluation and Optimization of Multi-Dimensional Indexes in Hive. IEEE Trans. Services Computing. 11, 835–849 (2018).
     
  • Scotty: Efficient Window ... - Download
    14.
    Traub, J., Grulich, P.M., Cuellar, A.R., Breß, S., Katsifodimos, A., Rabl, T., Markl, V.: Scotty: Efficient Window Aggregation for Out-of-Order Stream Processing. 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018. pp. 1300–1303 (2018).
     
  • Methods for Quantifying E... - Download
    15.
    Poess, M., Ren, D.Q., Rabl, T., Jacobsen, H.-A.: Methods for Quantifying Energy Consumption in TPC-H. Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, ICPE 2018, Berlin, Germany, April 09-13, 2018. pp. 293–304 (2018).
     
  • 16.
    Böhm, A., Rabl, T. eds.: Proceedings of the 7th International Workshop on Testing Database Systems, DBTest@SIGMOD 2018, Houston, TX, USA, June 15, 2018. ACM (2018).
     
  • The Berlin Big Data Cente... - Download
    17.
    Boden, C., Rabl, T., Markl, V.: The Berlin Big Data Center (BBDC). it-Information Technology. 60, 321–326 (2018).
     

2017

  • Analysis of TPC-DS: the F... - Download
    1.
    Poess, M., Rabl, T., Jacobsen, H.-A.: Analysis of TPC-DS: the First Standard Benchmark for SQL-Based Big Data Systems. Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, September 24-27, 2017. pp. 573–585 (2017).
     
  • Benchmarking Data Flow Sy... - Download
    2.
    Boden, C., Spina, A., Rabl, T., Markl, V.: Benchmarking Data Flow Systems for Scalable Machine Learning. Proceedings of the 4th ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond, BeyondMR@SIGMOD 2017, Chicago, IL, USA, May 19, 2017. pp. 1–10 (2017).
     
  • BlockJoin: Efficient Matr... - Download
    3.
    Kunft, A., Katsifodimos, A., Schelter, S., Rabl, T., Markl, V.: BlockJoin: Efficient Matrix Partitioning Through Joins. Proceedings of the VLDB Endowment. 10, 2061–2072 (2017).
     
  • 4.
    Rabl, T., Sakr, S., Hirzel, M.: Big Stream Processing Systems (Dagstuhl Seminar 17441). Dagstuhl Reports. 7, 111–138 (2017).
     
  • PEEL: A Framework for Ben... - Download
    5.
    Boden, C., Alexandrov, A., Kunft, A., Rabl, T., Markl, V.: PEEL: A Framework for Benchmarking Distributed Systems and Algorithms. Performance Evaluation and Benchmarking for the Analytics Era - 9th TPC Technology Conference, TPCTC 2017, Munich, Germany, August 28, 2017, Revised Selected Papers. pp. 9–24 (2017).
     
  • Query Centric Partitionin... - Download
    6.
    Rabl, T., Jacobsen, H.-A.: Query Centric Partitioning and Allocation for Partially Replicated Database Systems. Proceedings of the 2017 ACM International Conference on Management of Data, SIGMOD Conference 2017, Chicago, IL, USA, May 14-19, 2017. pp. 315–330 (2017).
     
  • I²: Interactive Real-Tim... - Download
    7.
    Traub, J., Steenbergen, N., Grulich, P., Rabl, T., Markl, V.: I²: Interactive Real-Time Visualization for Streaming Data. Proceedings of the 20th International Conference on Extending Database Technology, EDBT 2017, Venice, Italy, March 21-24, 2017. pp. 526–529 (2017).
     
  • Gilbert: Declarative Spar... - Download
    8.
    Rohrmann, T., Schelter, S., Rabl, T., Markl, V.: Gilbert: Declarative Sparse Linear Algebra on Massively Parallel Dataflow Systems. Datenbanksysteme für Business, Technologie und Web (BTW 2017), 17. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS), 6.-10. März 2017, Stuttgart, Germany, Proceedings. pp. 269–288 (2017).
     
  • 9.
    Boden, C., Rabl, T., Markl, V.: Distributed Machine Learning-but at what COST?. Machine Learning Systems Workshop at the 2017 Conference on Neural Information Processing Systems. (2017).
     
  • PROTEUS: Scalable Online ... - Download
    10.
    Monte, B.D., Karimov, J., Mahdiraji, A.R., Rabl, T., Markl, V.: PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization. Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017), Venice, Italy, March 21-24, 2017 (2017).
     
  • STREAMLINE - Streamlined ... - Download
    11.
    Grulich, P., Rabl, T., Markl, V., Sidló, C.I., Benczúr, A.A.: STREAMLINE - Streamlined Analysis of Data at Rest and Data in Motion. Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017), Venice, Italy, March 21-24, 2017 (2017).
     
  • Optimized On-Demand Data ... - Download
    12.
    Traub, J., Breß, S., Rabl, T., Katsifodimos, A., Markl, V.: Optimized On-Demand Data Streaming from Sensor Nodes. Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, September 24-27, 2017. pp. 586–597 (2017).
     

2016

  • Apache Flink in Current R... - Download
    1.
    Rabl, T., Traub, J., Katsifodimos, A., Markl, V.: Apache Flink in Current Research. it - Information Technology. 58, 157–165 (2016).
     
  • From BigBench to TPCx-BB:... - Download
    2.
    Cao, P., Gowda, B., Lakshmi, S., Narasimhadevara, C., Nguyen, P., Poelman, J., Poess, M., Rabl, T.: From BigBench to TPCx-BB: Standardization of a Big Data Benchmark. Performance Evaluation and Benchmarking. Traditional - Big Data - Interest of Things - 8th TPC Technology Conference, TPCTC 2016, New Delhi, India, September 5-9, 2016, Revised Selected Papers. pp. 24–44 (2016).
     
  • 3.
    Benczúr, A.A., Pálovics, R., Balassi, M., Markl, V., Rabl, T., Soto, J., Hovstadius, B., Dowling, J., Haridi, S.: Towards Streamlined Big Data Analytics. ERCIM News. 2016, (2016).
     
  • 4.
    Rabl, T., Nambiar, R., Baru, C.K., Bhandarkar, M.A., Poess, M., Pyne, S. eds.: Big Data Benchmarking - 6th International Workshop, WBDB 2015, Toronto, ON, Canada, June 16-17, 2015 and 7th International Workshop, WBDB 2015, New Delhi, India, December 14-15, 2015, Revised Selected Papers. Springer (2016).
     
  • 5.
    Visengeriyeva, L., Akbik, A., Kaul, M., Rabl, T., Markl, V.: Improving Data Quality by Leveraging Statistical Relational Learning. Proceedings of the 21st International Conference on Information Quality, Ciudad Real, Spain, 22-23 June, 2016. (2016).
     
  • Application-Level Benchma... - Download
    6.
    Baru, C., Rabl, T.: Application-Level Benchmarking of Big Data Systems. Big Data Analytics: Methods and Applications. pp. 189–199. Springer (2016).
     

2015

  • High Performance Stream Q... - Download
    1.
    Song, D., Zhang, K., Rabl, T., Menon, P., Jacobsen, H.-A.: High Performance Stream Queries in Scala. Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems, DEBS ’15, Oslo, Norway, June 29 - July 3, 2015. pp. 322–323 (2015).
     
  • 2.
    Rabl, T., Sachs, K., Poess, M., Baru, C.K., Jacobsen, H.-A. eds.: Big Data Benchmarking - 5th International Workshop, WBDB 2014, Potsdam, Germany, August 5-6, 2014, Revised Selected Papers. Springer (2015).
     
  • Big Data Benchmark Compen... - Download
    3.
    Ivanov, T., Rabl, T., Poess, M., Queralt, A., Poelman, J., Poggi, N., Buell, J.: Big Data Benchmark Compendium. Performance Evaluation and Benchmarking: Traditional to Big Data to Internet of Things - 7th TPC Technology Conference, TPCTC 2015, Kohala Coast, HI, USA, August 31 - September 4, 2015. Revised Selected Papers. pp. 135–155 (2015).
     
  • Enhancing Data Generation... - Download
    4.
    Nambiar, R., Rabl, T., Kulkarni, K., Frank, M.: Enhancing Data Generation in TPCx-HS with a Non-Uniform Random Distribution. Performance Evaluation and Benchmarking: Traditional to Big Data to Internet of Things - 7th TPC Technology Conference, TPCTC 2015, Kohala Coast, HI, USA, August 31 - September 4, 2015. Revised Selected Papers. pp. 94–129 (2015).
     
  • Just can't get enough: Sy... - Download
    5.
    Rabl, T., Danisch, M., Frank, M., Schindler, S., Jacobsen, H.-A.: Just can’t get enough: Synthesizing Big Data. Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31 - June 4, 2015. pp. 1457–1462 (2015).
     
  • The Vision of BigBench 2.... - Download
    6.
    Rabl, T., Frank, M., Danisch, M., Jacobsen, H.-A., Gowda, B.: The Vision of BigBench 2.0. Proceedings of the Fourth Workshop on Data analytics in the Cloud, DanaC 2015, Melbourne, VIC, Australia, May 31 - June 4, 2015. pp. 1–4 (2015).
     
  • Die Apache Flink Plattfor... - Download
    7.
    Traub, J., Rabl, T., Hueske, F., Rohrmann, T., Markl, V.: Die Apache Flink Plattform zur parallelen Analyse von Datenströmen und Stapeldaten. Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB, Trier, Germany, October 7-9, 2015. pp. 403–408 (2015).
     
  • DualTable: A Hybrid Stora... - Download
    8.
    Hu, S., Liu, W., Rabl, T., Huang, S., Liang, Y., Xiao, Z., Jacobsen, H.-A., Pei, X., Wang, J.: DualTable: A Hybrid Storage Model for Update Optimization in Hive. 31st IEEE International Conference on Data Engineering, ICDE 2015, Seoul, South Korea, April 13-17, 2015. pp. 1340–1351 (2015).
     

2014

  • Towards a Complete BigBen... - Download
    1.
    Rabl, T., Frank, M., Danisch, M., Gowda, B., Jacobsen, H.-A.: Towards a Complete BigBench Implementation. Big Data Benchmarking - 5th International Workshop, WBDB 2014, Potsdam, Germany, August 5-6, 2014, Revised Selected Papers. pp. 3–11 (2014).
     
  • 2.
    Rabl, T., Jacobsen, H.-A., Nambiar, R., Poess, M., Bhandarkar, M.A., Baru, C.K. eds.: Advancing Big Data Benchmarks - Proceedings of the 2013 Workshop Series on Big Data Benchmarking, WBDB.cn, Xi’an, China, July 16-17, 2013 and WBDB.us, San José, CA, USA, October 9-10, 2013 Revised Selected Papers. Springer (2014).
     
  • 3.
    Rabl, T., Poess, M., Baru, C.K., Jacobsen, H.-A. eds.: Specifying Big Data Benchmarks - First Workshop, WBDB 2012, San Jose, CA, USA, May 8-9, 2012, and Second Workshop, WBDB 2012, Pune, India, December 17-18, 2012, Revised Selected Papers. Springer (2014).
     
  • 4.
    Zhang, K., Rabl, T., Sun, Y.P., Kumar, R., Zen, N., Jacobsen, H.-A.: PSBench: A Benchmark for Content- and Topic-Based Publish/Subscribe Systems. Proceedings of the Middleware ’14 Posters & Demos Session, Bordeaux, France, December 8-12, 2014. pp. 17–18 (2014).
     
  • CaSSanDra: An SSD Boosted... - Download
    5.
    Menon, P., Rabl, T., Sadoghi, M., Jacobsen, H.-A.: CaSSanDra: An SSD Boosted Key-Value Store. IEEE 30th International Conference on Data Engineering, Chicago, ICDE 2014, IL, USA, March 31 - April 4, 2014. pp. 1162–1167 (2014).
     
  • TPC-DI: The First Industr... - Download
    6.
    Poess, M., Rabl, T., Jacobsen, H.-A., Caufield, B.: TPC-DI: The First Industry Benchmark for Data Integration. PVLDB. 7, 1367–1378 (2014).
     
  • 7.
    Baru, C.K., Bhandarkar, M.A., Curino, C., Danisch, M., Frank, M., Gowda, B., Jacobsen, H.-A., Jie, H., Kumar, D., Nambiar, R.O., Poess, M., Raab, F., Rabl, T., Ravi, N., Sachs, K., Sen, S., Yi, L., Youn, C.: Discussion of BigBench: A Proposed Industry Standard Performance Benchmark for Big Data. Performance Characterization and Benchmarking. Traditional to Big Data - 6th TPC Technology Conference, TPCTC 2014, Hangzhou, China, September 1-5, 2014. Revised Selected Papers. pp. 44–63 (2014).
     
  • Materialized Views in Cas... - Download
    8.
    Rabl, T., Jacobsen, H.-A.: Materialized Views in Cassandra. Proceedings of 24th Annual International Conference on Computer Science and Software Engineering, CASCON 2014, Markham, Ontario, Canada, 3-5 November, 2014. pp. 351–354 (2014).
     
  • 9.
    Menon, P., Rabl, T., Sadoghi, M., Jacobsen, H.-A.: Optimizing Key-Value Stores for Hybrid Storage Architectures. Proceedings of 24th Annual International Conference on Computer Science and Software Engineering, CASCON 2014, Markham, Ontario, Canada, 3-5 November, 2014. pp. 355–358 (2014).
     
  • DGFIndex for Smart Grid: ... - Download
    10.
    Liu, Y., Hu, S., Rabl, T., Liu, W., Jacobsen, H.-A., Wu, K., Chen, J., Li, J.: DGFIndex for Smart Grid: Enhancing Hive with a Cost-Effective Multidimensional Range Index. PVLDB. 7, 1496–1507 (2014).
     

2013

  • Grand Challenge: The Blue... - Download
    1.
    Jacobsen, H.-A., Mokhtarian, K., Rabl, T., Sadoghi, M., Kazemzadeh, R.S., Yoon, Y., Zhang, K.: Grand Challenge: The Bluebay Soccer Monitoring Engine. The 7th ACM International Conference on Distributed Event-Based Systems, DEBS ’13, Arlington, TX, USA - June 29 - July 03, 2013. pp. 295–300 (2013).
     
  • 2.
    Rabl, T., Sadoghi, M., Zhang, K., Jacobsen, H.-A.: Poster: MADES - A Multi-Layered, Adaptive, Distributed Event Store. The 7th ACM International Conference on Distributed Event-Based Systems, DEBS ’13, Arlington, TX, USA - June 29 - July 03, 2013. pp. 343–344 (2013).
     
  • Rapid Development of Data... - Download
    3.
    Rabl, T., Poess, M., Danisch, M., Jacobsen, H.-A.: Rapid Development of Data Generators Using Meta Generators in PDGF. Proceedings of the Sixth International Workshop on Testing Database Systems, DBTest 2013, New York, NY, USA, June 24, 2013. pp. 1–6 (2013).
     
  • BigBench: Towards an Indu... - Download
    4.
    Ghazal, A., Rabl, T., Hu, M., Raab, F., Poess, M., Crolotte, A., Jacobsen, H.-A.: BigBench: Towards an Industry Standard Benchmark for Big Data Analytics. Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2013, New York, NY, USA, June 22-27, 2013. pp. 1197–1208 (2013).
     
  • A BigBench Implementation... - Download
    5.
    Chowdhury, B., Rabl, T., Saadatpanah, P., Du, J., Jacobsen, H.-A.: A BigBench Implementation in the Hadoop Ecosystem. Advancing Big Data Benchmarks - Proceedings of the 2013 Workshop Series on Big Data Benchmarking, WBDB.cn, Xi’an, China, July 16-17, 2013 and WBDB.us, San José, CA, USA, October 9-10, 2013 Revised Selected Papers. pp. 3–18 (2013).
     
  • Variations of the Star Sc... - Download
    6.
    Rabl, T., Poess, M., Jacobsen, H.-A., O’Neil, P.E., O’Neil, E.J.: Variations of the Star Schema Benchmark to Test the Effects of Data Skew on Query Performance. ACM/SPEC International Conference on Performance Engineering, ICPE’13, Prague, Czech Republic - April 21 - 24, 2013. pp. 361–372 (2013).
     
  • Benchmarking Big Data Sys... - Download
    7.
    Baru, C., Bhandarkar, M., Nambiar, R., Poess, M., Rabl, T.: Benchmarking Big Data Systems and the BigData Top100 List. Big Data. 1, 60–64 (2013).
     

2012

  • BigBench Specification V0... - Download
    1.
    Rabl, T., Ghazal, A., Hu, M., Crolotte, A., Raab, F., Poess, M., Jacobsen, H.-A.: BigBench Specification V0.1 - BigBench: An Industry Standard Benchmark for Big Data Analytics. Specifying Big Data Benchmarks - First Workshop, WBDB 2012, San Jose, CA, USA, May 8-9, 2012, and Second Workshop, WBDB 2012, Pune, India, December 17-18, 2012, Revised Selected Papers. pp. 164–201 (2012).
     
  • Efficient Update Data Gen... - Download
    2.
    Frank, M., Poess, M., Rabl, T.: Efficient Update Data Generation for DBMS Benchmarks. Third Joint WOSP/SIPEW International Conference on Performance Engineering, ICPE’12, Boston, MA, USA - April 22 - 25, 2012. pp. 169–180 (2012).
     
  • Processing Big Events wit... - Download
    3.
    Doblander, C., Rabl, T., Jacobsen, H.-A.: Processing Big Events with Showers and Streams. Specifying Big Data Benchmarks - First Workshop, WBDB 2012, San Jose, CA, USA, May 8-9, 2012, and Second Workshop, WBDB 2012, Pune, India, December 17-18, 2012, Revised Selected Papers. pp. 60–71 (2012).
     
  • Big Data Generation - Download
    4.
    Rabl, T., Jacobsen, H.-A.: Big Data Generation. Specifying Big Data Benchmarks - First Workshop, WBDB 2012, San Jose, CA, USA, May 8-9, 2012, and Second Workshop, WBDB 2012, Pune, India, December 17-18, 2012, Revised Selected Papers. pp. 20–27 (2012).
     
  • 5.
    Baru, C.K., Bhandarkar, M.A., Nambiar, R.O., Poess, M., Rabl, T.: Setting the Direction for Big Data Benchmark Standards. Selected Topics in Performance Evaluation and Benchmarking - 4th TPC Technology Conference, TPCTC 2012, Istanbul, Turkey, August 27, 2012, Revised Selected Papers. pp. 197–208 (2012).
     
  • 6.
    Rabl, T., Zhang, K., Sadoghi, M., Pandey, N.K., Nigam, A., Wang, C., Jacobsen, H.-A.: Solving manufacturing equipment monitoring through efficient complex event processing: DEBS grand challenge. Proceedings of the Sixth ACM International Conference on Distributed Event-Based Systems, DEBS 2012, Berlin, Germany, July 16-20, 2012. pp. 335–340 (2012).
     
  • Solving Big Data Challeng... - Download
    7.
    Rabl, T., Sadoghi, M., Jacobsen, H.-A., Gómez-Villamor, S., Muntés-Mulero, V., Mankowskii, S.: Solving Big Data Challenges for Enterprise Application Performance Management. PVLDB. 5, 1724–1735 (2012).
     
  • Landmark-Assisted Locatio... - Download
    8.
    Anisetti, M., Ardagna, C.A., Bellandi, V., Damiani, E., Döller, M., Stegmaier, F., Rabl, T., Kosch, H., Brunie, L.: Landmark-Assisted Location and Tracking in Outdoor Mobile Network. Multimedia Tools Appl. 59, 89–111 (2012).
     

2011

  • A Protocol for Disaster D... - Download
    1.
    Rabl, T., Stegmaier, F., Döller, M., Vang, T.T.: A Protocol for Disaster Data Evacuation. Proceedings of the ACM SIGCOMM 2011 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications, Toronto, ON, Canada, August 15-19, 2011. pp. 448–449 (2011).
     
  • Demonstration des Paralle... - Download
    2.
    Rabl, T., Sergieh, H.M., Frank, M., Kosch, H.: Demonstration des Parallel Data Generation Framework. Datenbanksysteme für Business, Technologie und Web (BTW), 14. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), 2.-4.3.2011 in Kaiserslautern, Germany. pp. 730–733 (2011).
     
  • Efficiency in Cluster Dat... - Download
    3.
    Rabl, T.: Efficiency in Cluster Database Systems - Dynamic and Workload-Aware Scaling and Allocation, https://hpi.de/fileadmin/user_upload/fachgebiete/rabl/publications/2011/Dissertation-Rabl.pdf, (2011).
     
  • Parallel Data Generation ... - Download
    4.
    Rabl, T., Poess, M.: Parallel Data Generation for Performance Analysis of Large, Complex RDBMS. Proceedings of the Fourth International Workshop on Testing Database Systems, DBTest 2011, Athens, Greece, June 13, 2011. p. 5 (2011).
     
  • A PDGF Implementation for... - Download
    5.
    Poess, M., Rabl, T., Frank, M., Danisch, M.: A PDGF Implementation for TPC-H. Topics in Performance Evaluation, Measurement and Characterization - Third TPC Technology Conference, TPCTC 2011, Seattle, WA, USA, August 29-September 3, 2011, Revised Selected Papers. pp. 196–212 (2011).
     

2010

  • Introducing Scalileo: A J... - Download
    1.
    Rabl, T., Dellwo, C., Kosch, H.: Introducing Scalileo: A Java Based Scaling Framework. Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking, e-Energy 2010, Passau, Germany, April 13-15, 2010. pp. 205–214 (2010).
     
  • A Data Generator for Clou... - Download
    2.
    Rabl, T., Frank, M., Sergieh, H.M., Kosch, H.: A Data Generator for Cloud-Scale Benchmarking. Performance Evaluation, Measurement and Characterization of Complex Systems - Second TPC Technology Conference, TPCTC 2010, Singapore, September 13-17, 2010. Revised Selected Papers. pp. 41–56 (2010).
     

2009

  • Generating Shifting Workl... - Download
    1.
    Rabl, T., Lang, A., Hackl, T., Sick, B., Kosch, H.: Generating Shifting Workloads to Benchmark Adaptability in Relational Database Systems. Performance Evaluation and Benchmarking, First TPC Technology Conference, TPCTC 2009, Lyon, France, August 24-28, 2009, Revised Selected Papers. pp. 116–131 (2009).
     
  • Design and Implementation... - Download
    2.
    Rabl, T., Koch, C., Hölbling, G., Kosch, H.: Design and Implementation of the Fast Send Protocol. JDIM. 7, 120–127 (2009).
     

2008

  • Interactive TV Services o... - Download
    1.
    Hölbling, G., Rabl, T., Coquil, D., Kosch, H.: Interactive TV Services on Mobile Devices. IEEE MultiMedia. 15, 72–76 (2008).
     
  • Dynamic Allocation in a S... - Download
    2.
    Rabl, T., Pfeffer, M., Kosch, H.: Dynamic Allocation in a Self-Scaling Cluster Database. Concurrency and Computation: Practice and Experience. 20, 2025–2038 (2008).
     
  • Overview of Open Standard... - Download
    3.
    Hölbling, G., Rabl, T., Kosch, H.: Overview of Open Standards for Interactive TV (iTV). (2008).
     
  • Autorentool für interakt... - Download
    4.
    Stephan, A., Hölbling, G., Rabl, T., Lehner, F., Kosch, H.: Autorentool für interaktive Videos im E-Learning. (2008).
     

2007

  • Fast Send Protocol - Mini... - Download
    1.
    Koch, C., Rabl, T., Hölbling, G., Kosch, H.: Fast Send Protocol - Minimizing Sending Time in High-Speed Bulk Data Transfers. Second IEEE International Conference on Digital Information Management (ICDIM), December 11-13, 2007, Lyon, France, Proceedings. pp. 173–179 (2007).
     
  • Intertainment - Download
    2.
    Hölbling, G., Rabl, T., Kosch, H.: Intertainment. Proceedings of the 15th International Conference on Multimedia 2007, Augsburg, Germany, September 24-29, 2007. pp. 475–476 (2007).