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 2024, 2023, 2022, 2021, 2020, 2019, 2018, 20172016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007

2024

  • Efficient Stream Processi... - Download
    [1]
    Wang, Y. Efficient Stream Processing in Decentralized NetworksPhD@ VLDB. 2024 (2024).
     
  • Addressing Data Managemen... - Download
    [2]
    Tolovski, I. and Rabl, T. Addressing Data Management Challenges for Interoperable Data Science1st International Workshop on Data-driven AI (DATAI) @ VLDB ’24 (2024).
     
  • Ghostwriter: a Distribute... - Download
    [3]
    Hendrik, M., Del Monte, B. and Rabl, T. Ghostwriter: a Distributed Message Broker on RDMA and NVM15th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures 15 (2024).
     
  • Surprise Benchmarking: Th... - Download
    [4]
    Benson, L., Binnig, C., Bodensohn, J.-M., Lorenzi, F., Luo, J., Porobic, D., Rabl, T., Sanghi, A., Sears, R., Tözün, P. and Ziegler, T. Surprise Benchmarking: The Why, What, and HowProceedings of the Tenth International Workshop on Testing Database Systems (DBTest) (2024), 1–8.
     
  • [5]
    Riekenbrauck, N., Weisgut, M., Lindner, D. and Rabl, T. A Three-Tier Buffer Manager Integrating CXL Device Memory for Database SystemsJoint International Workshop on Big Data Management on Emerging Hardware and Data Management on Virtualized Active Systems @ ICDE 2024 (2024).
     
  • InferDB: In-Database Mach... - Download
    [6]
    Salazar-Díaz, R., Glavic, B. and Rabl, T. InferDB: In-Database Machine Learning Inference Using IndexesProceedings of the VLDB Endowment 17 (8) (2024), 1830–1842.
     
  • Deco: Fast and Accurate D... - Download
    [7]
    Wang, Y., Moczalla, R., Luthra, M. and Rabl, T. Deco: Fast and Accurate Decentralized Aggregation of Count-Based Windows in Large-Scale IoT Applications27th International Conference on Extending Database Technology (EDBT ’24) (2024).
     
  • A Survey of Stream Proces... - Download
    [8]
    Wang, Y., Boissier, M. and Rabl, T. A Survey of Stream Processing System Benchmark16th TPC Technology Conference on Performance Evaluation & Benchmarking (TPCTC) @ VLDB ’24 (2024).
     

2023

  • Desis: Efficient Window A... - Download
    [1]
    Wang, Y., Benson, L. and Rabl, T. Desis: Efficient Window Aggregation in Decentralized Networks26th International Conference on Extending Database Technology (EDBT ’23) (2023).
     
  • RMG Sort: Radix-Partition... - Download
    [2]
    Ilic, I., Tolovski, I. and Rabl, T. RMG Sort: Radix-Partitioning-Based Multi-GPU SortingDatenbanksysteme für Business, Technologie und Web (BTW 2023) (2023).
     
  • Efficient Multi-Model Man... - Download
    [3]
    Strassenburg, N., Kupfer, D., Kowal, J. and Rabl, T. Efficient Multi-Model Management26th International Conference on Extending Database Technology (EDBT ’23) (2023).
     
  • Analyzing Vectorized Hash... - Download
    [4]
    Böther, M., Benson, L., Klimovic, A. and Rabl, T. Analyzing Vectorized Hash Tables Across CPU ArchitecturesProceedings of the VLDB Endowment 16 (11) (2023), 2755–2768.
     
  • TPCx-AI - An Industry Sta... - Download
    [5]
    Brücke, C., Härtling, P., Escobar Palacios, R.D., Patel, H. and Rabl, T. TPCx-AI - An Industry Standard Benchmark for Artificial Intelligence and Machine Learning SystemsProceedings of the VLDB Endowment 16 (12) (2023), 3649–3661.
     
  • Evaluating SIMD Compiler-... - Download
    [6]
    Benson, L., Ebeling, R. and Rabl, T. Evaluating SIMD Compiler-Intrinsics for Database Systems14th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processors and Storage Architectures (2023).
     
  • [7]
    Mahling, F., Rößler, P., Bodner, T. and Rabl, T. BabelMR: A Polyglot Framework for Serverless MapReduceWorkshop on Serverless Data Analytics (2023).
     

2022

  • PerMA-Bench: Benchmarking... - Download
    [1]
    Benson, L., Papke, L. and Rabl, T. PerMA-Bench: Benchmarking Persistent Memory AccessProceedings of the VLDB Endowment 15 (11) (2022), 2463–2476.
     
  • Imperative or Functional ... - Download
    [2]
    Gévay, G.E., Rabl, T., Breß, S., Madai-Tahy, L., Quiané-Ruiz, J.-A. and Markl, V. Imperative or Functional Control Flow Handling: Why not the Best of Both Worlds?ACM SIGMOD Record 51 (1) (2022), 1–8.
     
  • Efficiently Managing Deep... - Download
    [3]
    Strassenburg, N., Tolovski, I. and Rabl, T. Efficiently Managing Deep Learning Models in a Distributed Environment25th International Conference on Extending Database Technology (EDBT ’22) (2022).
     
  • Evaluating In-Memory Hash... - Download
    [4]
    Maltenberger, T., Lehmann, T., Benson, L. and Rabl, T. Evaluating In-Memory Hash-Joins on Persistent Memory25th International Conference on Extending Database Technology (EDBT ’22) (2022).
     
  • Triton Join: Efficiently ... - Download
    [5]
    Lutz, C., Breß, S., Zeuch, S., Rabl, T. and Markl, V. Triton Join: Efficiently Scaling the Operator State on GPUs with Fast InterconnectsACM SIGMOD International Conference on Management of Data (SIGMOD ’22) (2022).
     
  • Rethinking Stateful Strea... - Download
    [6]
    Del Monte, B., Zeuch, S., Rabl, T. and Markl, V. Rethinking Stateful Stream Processing with RDMAACM SIGMOD International Conference on Management of Data (SIGMOD ’22) (2022).
     
  • Evaluating Multi-GPU Sort... - Download
    [7]
    Maltenberger, T., Ilic, I., Tolovski, I. and Rabl, T. Evaluating Multi-GPU Sorting with Modern Interconnects2022 ACM SIGMOD International Conference on Management of Data (SIGMOD ’22) (2022).
     
  • DAPHNE: An Open and Exten... - Download
    [8]
    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. and Xiang Zhu, X. DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines12th Annual Conference on Innovative Data Systems Research (CIDR ’22) (2022).
     
  • Darwin: Scale-In Stream P... - Download
    [9]
    Benson, L. and Rabl, T. Darwin: Scale-In Stream Processing12th Annual Conference on Innovative Data Systems Research (CIDR ’22) (2022).
     

2021

  • Efficient Control Flow in... - Download
    [1]
    Gévay, G.E., Rabl, T., Breß, S., Madai-Tahy, L., Quiané-Ruiz, J.-A. and Markl, V. Efficient Control Flow in Dataflow Systems: When Ease-of-Use Meets High Performance37th IEEE International Conference on Data Engineering (2021).
     
  • LogStore: A Workload-awar... - Download
    [2]
    Menon, P., M. Qadah, T., Rabl, T., Sadoghi, M. and Jacobsen, H.-A. LogStore: A Workload-aware, Adaptable Key-Value Store on Hybrid Storage Systems37th IEEE International Conference on Data Engineering (2021).
     
  • Maximizing Persistent Mem... - Download
    [3]
    Daase, B., Bollmeier, L.J., Benson, L. and Rabl, T. Maximizing Persistent Memory Bandwidth Utilization for OLAP WorkloadsProceedings of the 2021 International Conference on Management of Data (SIGMOD ’21), June 20--25, 2021, Virtual Event, China (2021).
     
  • Scotty: General and Effic... - Download
    [4]
    Traub, J., Grulich, P.M., Cuéllar, A.R., Breß, S., Katsifodimos, A., Rabl, T. and Markl, V. Scotty: General and Efficient Open-Source Window Aggregation for Stream Processing SystemsTransactions on Database Systems 46 (1) (2021), 46.
     
  • Scale-Down Experiments on... - Download
    [5]
    Böther, M. and Rabl, T. Scale-Down Experiments on TPCx-HSBig Data in Emergent Distributed Environments (BiDEDE’21), June 20, 2021, Virtual Event, China (2021).
     
  • Viper: An Efficient Hybri... - Download
    [6]
    Benson, L., Makait, H. and Rabl, T. Viper: An Efficient Hybrid PMem-DRAM Key-Value StoreProceedings of the VLDB Endowment 14 (9) (2021), 1544–1556.
     
  • Drop It In Like It's Hot:... - Download
    [7]
    Böther, M., Kißig, O., Benson, L. and Rabl, T. Drop It In Like It’s Hot: An Analysis of Persistent Memory as a Drop-in Replacement for NVMe SSDsInternational Workshop on Data Managment on New Hardware (DAMON’21), June 20–25, 2021, Virtual Event, China. (2021).
     
  • A Survey of Big Data, Hig... - Download
    [8]
    Ihde, N., Marten, P., Eleliemy, A., Poerwawinata, G., Silva, P., Tolovski, I., Ciorba, M.F. and Rabl, T. A Survey of Big Data, High Performance Computing, and Machine Learning BenchmarksLecture Notes in Computer Science 13169 (2021), 1–21.
     

2020

  • Grizzly: Efficient Stream... - Download
    [1]
    Grulich, P.M., Breß, S., Zeuch, S., Traub, J., von Bleichert, J., Chen, Z., Rabl, T. and Markl, V. Grizzly: Efficient Stream Processing Through Adaptive Query CompilationACM SIGMOD/PODS International Conference on Management of Data, Portland, OR, USA (2020).
     
  • Pump Up the Volume: Proce... - Download
    [2]
    Lutz, C., Breß, S., Zeuch, S., Rabl, T. and Markl, V. Pump Up the Volume: Processing Large Data on GPUs with Fast InterconnectsACM SIGMOD/PODS International Conference on Management of Data, Portland, OR, USA (2020).
     
  • A Distributed Data Exchan... - Download
    [3]
    Kaitoua, A., Rabl, T. and Markl, V. A Distributed Data Exchange Engine for Polystoresit-Information Technology (2020).
     
  • AJoin: Ad-hoc Stream Join... - Download
    [4]
    Karimov, J., Rabl, T. and Markl, V. AJoin: Ad-hoc Stream Joins at ScaleProceedings of the VLDB Endowment 13 (4) (2020).
     
  • Rhino: Efficient Manageme... - Download
    [5]
    Del Monte, B., Zeuch, S., Rabl, T. and Markl, V. Rhino: Efficient Management of Very Large Distributed State for Stream Processing EnginesACM SIGMOD/PODS International Conference on Management of Data, Portland, OR, USA (2020).
     
  • Grand Challenge: Incremen... - Download
    [6]
    Silva, P., Wang, Y. and Rabl, T. Grand Challenge: Incremental Stream Query AnalyticsProceedings of the 14th ACM International Conference on Distributed and Event-based Systems (DEBS ’20) (2020), 6.
     
  • Optimizing Machine Learni... - Download
    [7]
    Derakhshan, B., Mahdiraji, A.R., Abedjan, Z., Rabl, T. and Markl, V. Optimizing Machine Learning Workloads in Collaborative EnvironmentsACM SIGMOD/PODS International Conference on Management of Data, Portland, OR, USA (2020).
     
  • Quantifying TPC-H Choke P... - Download
    [8]
    Dreseler, M., Boissier, M., Rabl, T. and Uflacker, M. Quantifying TPC-H Choke Points and Their Optimizations [Experiments and Analyses]Proceedings of the VLDB Endowment 13 (8) (2020), 1206–1220.
     
  • Rethinking Message Broker... - Download
    [9]
    Makait, H. Rethinking Message Brokers on RDMA and NVMProceedings of the 2020 International Conference on Management of Data (2020).
     
  • LogStore: A Workload-awar... - Download
    [10]
    Menon, P., Qadah, T.M., Rabl, T., Sadoghi, M. and Jacobsen, H.-A. LogStore: A Workload-aware, Adaptable Key-Value Store on Hybrid Storage SystemsTransactions on Knowledge and Data Engineering (2020).
     
  • Disco: Efficient Distribu... - Download
    [11]
    Benson, L., Grulich, P.M., Zeuch, S., Markl, V. and Rabl, T. Disco: Efficient Distributed Window AggregationProceedings of the 23rd International Conference on Extending Database Technology (EDBT) (2020).
     

2019

  • An Intermediate Represent... - Download
    [1]
    Kunft, A., Katsifodimos, A., Schelter, S., Breß, S., Rabl, T. and Markl, V. An Intermediate Representation for Optimizing Machine Learning PipelinesProceedings of the VLDB Endowment 12 (11) (2019), 1553–1567.
     
  • AStream: Ad-hoc Shared St... - Download
    [2]
    Karimov, J., Rabl, T. and Markl, V. AStream: Ad-hoc Shared Stream ProcessingProceedings of the 2019 International Conference on Management of Data (2019), 607–622.
     
  • Analyzing Efficient Strea... - Download
    [3]
    Zeuch, S., Breß, S., Rabl, T., Monte, B.D., Karimov, J., Lutz, C., Renz, M., Traub, J. and Markl, V. Analyzing Efficient Stream Processing on Modern HardwarePVLDB 12 (5) (2019), 516–530.
     
  • Performance Analysis and ... - Download
    [4]
    Rosenfeld, V., Breß, S., Zeuch, S., Rabl, T. and Markl, V. Performance Analysis and Automatic Tuning of Hash Aggregation on GPUsInternational Workshop on Data Management on New Hardware (DaMoN) (2019).
     
  • Definition of Data Stream... - Download
    [5]
    Margara, A. and Rabl, T. Definition of Data Streams. Encyclopedia of Big Data Technologies.
     
  • Poster: Generating Reprod... - Download
    [6]
    Grulich, P.M., Traub, J., Breß, S., Katsifodimos, A., Markl, V. and Rabl, T. Poster: Generating Reproducible Out-of-Order Data Streams (2019), 256–257.
     
  • Muses: Distributed Data M... - Download
    [7]
    Kaitoua, A., Rabl, T., Katsifodimos, A. and Markl, V. Muses: Distributed Data Migration System for Polystores35th IEEE International Conference on Data Engineering, ICDE 2019, Macao, Macao, April 8-11, 2019 (2019), 1602–1605.
     
  • Explanation of Air Pollut... - Download
    [8]
    Esmailoghli, M., Redyuk, S., Martinez, R., Abedjan, Z., Rabl, T. and Markl, V. Explanation of Air Pollution Using External Data SourcesDatenbanksysteme für Business, Technologie und Web (BTW 2019), 18. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS), 4.-8. März 2019, Rostock, Germany, Workshopband (2019), 297–300.
     
  • Continuous Deployment of ... - Download
    [9]
    Derakhshan, B., Mahdiraji, A.R., Rabl, T. and Markl, V. Continuous Deployment of Machine Learning PipelinesAdvances in Database Technology - 22nd International Conference on Extending Database Technology, EDBT 2019, Lisbon, Portugal, March 26-29, 2019 (2019), 397–408.
     
  • On-the-fly Reconfiguratio... - Download
    [10]
    Bartnik, A., Monte, B.D., Rabl, T. and Markl, V. On-the-fly Reconfiguration of Query Plans for Stateful Stream Processing EnginesDatenbanksysteme für Business, Technologie und Web (BTW 2019), 18. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS), 4.-8. März 2019, Rostock, Germany, Proceedings (2019), 127–146.
     
  • An Overview of Hawk: A Ha... - Download
    [11]
    Breß, S., Funke, H., Zeuch, S., Rabl, T. and Markl, V. An Overview of Hawk: A Hardware-Tailored Code Generator for the Heterogeneous Many Core AgeDatenbanksysteme für Business, Technologie und Web (BTW 2019), 18. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS), 4.-8. März 2019, Rostock, Germany, Workshopband (2019), 87–90.
     
  • ADABench - Towards an Ind... - Download
    [12]
    Rabl, T., Brücke, C., Härtling, P., Stars, S., Palacios, R.E., Patel, H., Srivastava, S., Boden, C., Meiners, J. and Schelter, S. ADABench - Towards an Industry Standard Benchmark for Advanced Anayltics (2019).
     
  • Particulate Matter Matter... - Download
    [13]
    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. and Escobar Gava, T. Particulate Matter Matters - The Data Science Challenge @ BTW 2019 (2019).
     
  • Efficient Window Aggregat... - Download
    [14]
    Traub, J., Grulich, P.M., Cuellar, A.R., Breß, S., Katsifodimos, A., Rabl, T. and Markl, V. Efficient Window Aggregation with General Stream SlicingAdvances in Database Technology - 22nd International Conference on Extending Database Technology, EDBT 2019, Lisbon, Portugal, March 26-29, 2019 (2019), 97–108.
     

2018

  • Scalable Detection of Con... - Download
    [1]
    Grulich, P.M., Saitenmacher, R., Traub, J., Breß, S., Rabl, T. and Markl, V. Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive WindowingProceedings of the 21th International Conference on Extending Database Technology, EDBT 2018, Vienna, Austria, March 26-29, 2018. (2018), 477–480.
     
  • Dagstuhl Seminar on Big S... - Download
    [2]
    Sakr, S., Rabl, T., Hirzel, M., Carbone, P. and Strohbach, M. Dagstuhl Seminar on Big Stream ProcessingSIGMOD Record 47 (3) (2018), 36–39.
     
  • The Berlin Big Data Cente... - Download
    [3]
    Boden, C., Rabl, T. and Markl, V. The Berlin Big Data Center (BBDC)it-Information Technology 60 (5-6) (2018), 321–326.
     
  • [4]
    Karimov, J., Rabl, T. and Markl, V. PolyBench: The First Benchmark for PolystoresPerformance Evaluation and Benchmarking for the Era of Artificial Intelligence (2018), 24–41.
     
  • Benchmarking Distributed ... - Download
    [5]
    Boden, C., Rabl, T., Schelter, S. and Markl, V. Benchmarking Distributed Data Processing Systems for Machine Learning WorkloadsPerformance 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 (2018), 42–57.
     
  • [6]
    Gévay, G.E., Rabl, T., Breß, S., Madai-Tahy, L. and Markl, V. Labyrinth: Compiling Imperative Control Flow to Parallel DataflowsCoRR abs/1809.06845 (2018).
     
  • Efficient and Scalable k-... - Download
    [7]
    Lutz, C., Breß, S., Rabl, T., Zeuch, S. and Markl, V. Efficient and Scalable k-Means on GPUsDatenbank-Spektrum 18 (3) (2018), 157–169.
     
  • Data Management Systems R... - Download
    [8]
    Abedjan, Z., Breß, S., Markl, V., Rabl, T. and Soto, J. Data Management Systems Research at TU BerlinSIGMOD Record 47 (4) (2018), 23–28.
     
  • Generating Custom Code fo... - Download
    [9]
    Breß, S., Köcher, B., Funke, H., Zeuch, S., Rabl, T. and Markl, V. Generating Custom Code for Efficient Query Execution on Heterogeneous ProcessorsVLDB J. 27 (6) (2018), 797–822.
     
  • Benchmarking Distributed ... - Download
    [10]
    Karimov, J., Rabl, T., Katsifodimos, A., Samarev, R., Heiskanen, H. and Markl, V. Benchmarking Distributed Stream Data Processing Engines34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018 (2018), 1507–1518.
     
  • ScootR: Scaling R Datafra... - Download
    [11]
    Kunft, A., Stadler, L., Bonetta, D., Basca, C., Meiners, J., Breß, S., Rabl, T., Fumero, J.J. and Markl, V. ScootR: Scaling R Dataframes on Dataflow SystemsProceedings of the ACM Symposium on Cloud Computing, SoCC 2018, Carlsbad, CA, USA, October 11-13, 2018 (2018), 288–300.
     
  • Efficient k-Means on GPUs - Download
    [12]
    Lutz, C., Breß, S., Rabl, T., Zeuch, S. and Markl, V. Efficient k-Means on GPUsProceedings of the 14th International Workshop on Data Management on New Hardware, Houston, TX, USA, June 11, 2018 (2018), 1–3.
     
  • Performance Evaluation an... - Download
    [13]
    Liu, Y., Guo, S., Hu, S., Rabl, T., Jacobsen, H.-A., Li, J. and Wang, J. Performance Evaluation and Optimization of Multi-Dimensional Indexes in HiveIEEE Trans. Services Computing 11 (5) (2018), 835–849.
     
  • Scotty: Efficient Window ... - Download
    [14]
    Traub, J., Grulich, P.M., Cuellar, A.R., Breß, S., Katsifodimos, A., Rabl, T. and Markl, V. Scotty: Efficient Window Aggregation for Out-of-Order Stream Processing34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018 (2018), 1300–1303.
     
  • Methods for Quantifying E... - Download
    [15]
    Poess, M., Ren, D.Q., Rabl, T. and Jacobsen, H.-A. Methods for Quantifying Energy Consumption in TPC-HProceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, ICPE 2018, Berlin, Germany, April 09-13, 2018 (2018), 293–304.
     
  • [16]
    Böhm, A. and Rabl, T. eds. Proceedings of the 7th International Workshop on Testing Database Systems, DBTest@SIGMOD 2018, Houston, TX, USA, June 15, 2018. ACM.
     
  • Analysis of TPCx-IoT: The... - Download
    [17]
    Poess, M., Nambiar, R., Kulkarni, K., Narasimhadevara, C., Rabl, T. and Jacobsen, H.-A. Analysis of TPCx-IoT: The First Industry Standard Benchmark for IoT Gateway Systems34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018 (2018), 1519–1530.
     

2017

  • [1]
    Rabl, T., Sakr, S. and Hirzel, M. Big Stream Processing Systems (Dagstuhl Seminar 17441)Dagstuhl Reports 7 (10) (2017), 111–138.
     
  • PEEL: A Framework for Ben... - Download
    [2]
    Boden, C., Alexandrov, A., Kunft, A., Rabl, T. and Markl, V. PEEL: A Framework for Benchmarking Distributed Systems and AlgorithmsPerformance Evaluation and Benchmarking for the Analytics Era - 9th TPC Technology Conference, TPCTC 2017, Munich, Germany, August 28, 2017, Revised Selected Papers (2017), 9–24.
     
  • Query Centric Partitionin... - Download
    [3]
    Rabl, T. and Jacobsen, H.-A. Query Centric Partitioning and Allocation for Partially Replicated Database SystemsProceedings of the 2017 ACM International Conference on Management of Data, SIGMOD Conference 2017, Chicago, IL, USA, May 14-19, 2017 (2017), 315–330.
     
  • Benchmarking Data Flow Sy... - Download
    [4]
    Boden, C., Spina, A., Rabl, T. and Markl, V. Benchmarking Data Flow Systems for Scalable Machine LearningProceedings of the 4th ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond, BeyondMR@SIGMOD 2017, Chicago, IL, USA, May 19, 2017 (2017), 1–10.
     
  • I²: Interactive Real-Tim... - Download
    [5]
    Traub, J., Steenbergen, N., Grulich, P., Rabl, T. and Markl, V. I²: Interactive Real-Time Visualization for Streaming DataProceedings of the 20th International Conference on Extending Database Technology, EDBT 2017, Venice, Italy, March 21-24, 2017. (2017), 526–529.
     
  • PROTEUS: Scalable Online ... - Download
    [6]
    Monte, B.D., Karimov, J., Mahdiraji, A.R., Rabl, T. and Markl, V. PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive VisualizationProceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017), Venice, Italy, March 21-24, 2017. (2017).
     
  • STREAMLINE - Streamlined ... - Download
    [7]
    Grulich, P., Rabl, T., Markl, V., Sidló, C.I. and Benczúr, A.A. STREAMLINE - Streamlined Analysis of Data at Rest and Data in MotionProceedings 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
    [8]
    Traub, J., Breß, S., Rabl, T., Katsifodimos, A. and Markl, V. Optimized On-Demand Data Streaming from Sensor NodesProceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, September 24-27, 2017 (2017), 586–597.
     
  • Analysis of TPC-DS: the F... - Download
    [9]
    Poess, M., Rabl, T. and Jacobsen, H.-A. Analysis of TPC-DS: the First Standard Benchmark for SQL-Based Big Data SystemsProceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, September 24-27, 2017 (2017), 573–585.
     
  • Gilbert: Declarative Spar... - Download
    [10]
    Rohrmann, T., Schelter, S., Rabl, T. and Markl, V. Gilbert: Declarative Sparse Linear Algebra on Massively Parallel Dataflow SystemsDatenbanksysteme für Business, Technologie und Web (BTW 2017), 17. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS), 6.-10. März 2017, Stuttgart, Germany, Proceedings (2017), 269–288.
     
  • BlockJoin: Efficient Matr... - Download
    [11]
    Kunft, A., Katsifodimos, A., Schelter, S., Rabl, T. and Markl, V. BlockJoin: Efficient Matrix Partitioning Through JoinsProceedings of the VLDB Endowment 10 (13) (2017), 2061–2072.
     
  • [12]
    Boden, C., Rabl, T. and Markl, V. Distributed Machine Learning-but at what COST?Machine Learning Systems Workshop at the 2017 Conference on Neural Information Processing Systems (2017).
     

2016

  • [1]
    Visengeriyeva, L., Akbik, A., Kaul, M., Rabl, T. and Markl, V. Improving Data Quality by Leveraging Statistical Relational LearningProceedings of the 21st International Conference on Information Quality, Ciudad Real, Spain, 22-23 June, 2016 (2016).
     
  • Application-Level Benchma... - Download
    [2]
    Baru, C. and Rabl, T. Application-Level Benchmarking of Big Data Systems. Big Data Analytics: Methods and Applications. Springer. 189–199.
     
  • Apache Flink in Current R... - Download
    [3]
    Rabl, T., Traub, J., Katsifodimos, A. and Markl, V. Apache Flink in Current Researchit - Information Technology 58 (4) (2016), 157–165.
     
  • From BigBench to TPCx-BB:... - Download
    [4]
    Cao, P., Gowda, B., Lakshmi, S., Narasimhadevara, C., Nguyen, P., Poelman, J., Poess, M. and Rabl, T. From BigBench to TPCx-BB: Standardization of a Big Data BenchmarkPerformance 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 (2016), 24–44.
     
  • [5]
    Benczúr, A.A., Pálovics, R., Balassi, M., Markl, V., Rabl, T., Soto, J., Hovstadius, B., Dowling, J. and Haridi, S. Towards Streamlined Big Data AnalyticsERCIM News 2016 (107) (2016).
     
  • [6]
    Rabl, T., Nambiar, R., Baru, C.K., Bhandarkar, M.A., Poess, M. and 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.
     

2015

  • Enhancing Data Generation... - Download
    [1]
    Nambiar, R., Rabl, T., Kulkarni, K. and Frank, M. Enhancing Data Generation in TPCx-HS with a Non-Uniform Random DistributionPerformance 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 (2015), 94–129.
     
  • [2]
    Rabl, T., Sachs, K., Poess, M., Baru, C.K. and Jacobsen, H.-A. eds. Big Data Benchmarking - 5th International Workshop, WBDB 2014, Potsdam, Germany, August 5-6, 2014, Revised Selected Papers. Springer.
     
  • Big Data Benchmark Compen... - Download
    [3]
    Ivanov, T., Rabl, T., Poess, M., Queralt, A., Poelman, J., Poggi, N. and Buell, J. Big Data Benchmark CompendiumPerformance 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 (2015), 135–155.
     
  • Just can't get enough: Sy... - Download
    [4]
    Rabl, T., Danisch, M., Frank, M., Schindler, S. and Jacobsen, H.-A. Just can’t get enough: Synthesizing Big DataProceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31 - June 4, 2015 (2015), 1457–1462.
     
  • The Vision of BigBench 2.... - Download
    [5]
    Rabl, T., Frank, M., Danisch, M., Jacobsen, H.-A. and Gowda, B. The Vision of BigBench 2.0Proceedings of the Fourth Workshop on Data analytics in the Cloud, DanaC 2015, Melbourne, VIC, Australia, May 31 - June 4, 2015 (2015), 1–4.
     
  • Die Apache Flink Plattfor... - Download
    [6]
    Traub, J., Rabl, T., Hueske, F., Rohrmann, T. and Markl, V. Die Apache Flink Plattform zur parallelen Analyse von Datenströmen und StapeldatenProceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB, Trier, Germany, October 7-9, 2015. (2015), 403–408.
     
  • DualTable: A Hybrid Stora... - Download
    [7]
    Hu, S., Liu, W., Rabl, T., Huang, S., Liang, Y., Xiao, Z., Jacobsen, H.-A., Pei, X. and Wang, J. DualTable: A Hybrid Storage Model for Update Optimization in Hive31st IEEE International Conference on Data Engineering, ICDE 2015, Seoul, South Korea, April 13-17, 2015 (2015), 1340–1351.
     
  • High Performance Stream Q... - Download
    [8]
    Song, D., Zhang, K., Rabl, T., Menon, P. and Jacobsen, H.-A. High Performance Stream Queries in ScalaProceedings of the 9th ACM International Conference on Distributed Event-Based Systems, DEBS ’15, Oslo, Norway, June 29 - July 3, 2015 (2015), 322–323.
     

2014

  • [1]
    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. and Youn, C. Discussion of BigBench: A Proposed Industry Standard Performance Benchmark for Big DataPerformance Characterization and Benchmarking. Traditional to Big Data - 6th TPC Technology Conference, TPCTC 2014, Hangzhou, China, September 1-5, 2014. Revised Selected Papers (2014), 44–63.
     
  • [2]
    Rabl, T., Jacobsen, H.-A., Nambiar, R., Poess, M., Bhandarkar, M.A. and 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.
     
  • Materialized Views in Cas... - Download
    [3]
    Rabl, T. and Jacobsen, H.-A. Materialized Views in CassandraProceedings of 24th Annual International Conference on Computer Science and Software Engineering, CASCON 2014, Markham, Ontario, Canada, 3-5 November, 2014 (2014), 351–354.
     
  • Towards a Complete BigBen... - Download
    [4]
    Rabl, T., Frank, M., Danisch, M., Gowda, B. and Jacobsen, H.-A. Towards a Complete BigBench ImplementationBig Data Benchmarking - 5th International Workshop, WBDB 2014, Potsdam, Germany, August 5-6, 2014, Revised Selected Papers (2014), 3–11.
     
  • [5]
    Menon, P., Rabl, T., Sadoghi, M. and Jacobsen, H.-A. Optimizing Key-Value Stores for Hybrid Storage ArchitecturesProceedings of 24th Annual International Conference on Computer Science and Software Engineering, CASCON 2014, Markham, Ontario, Canada, 3-5 November, 2014 (2014), 355–358.
     
  • [6]
    Rabl, T., Poess, M., Baru, C.K. and 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.
     
  • CaSSanDra: An SSD Boosted... - Download
    [7]
    Menon, P., Rabl, T., Sadoghi, M. and Jacobsen, H.-A. CaSSanDra: An SSD Boosted Key-Value StoreIEEE 30th International Conference on Data Engineering, Chicago, ICDE 2014, IL, USA, March 31 - April 4, 2014 (2014), 1162–1167.
     
  • TPC-DI: The First Industr... - Download
    [8]
    Poess, M., Rabl, T., Jacobsen, H.-A. and Caufield, B. TPC-DI: The First Industry Benchmark for Data IntegrationPVLDB 7 (13) (2014), 1367–1378.
     
  • DGFIndex for Smart Grid: ... - Download
    [9]
    Liu, Y., Hu, S., Rabl, T., Liu, W., Jacobsen, H.-A., Wu, K., Chen, J. and Li, J. DGFIndex for Smart Grid: Enhancing Hive with a Cost-Effective Multidimensional Range IndexPVLDB 7 (13) (2014), 1496–1507.
     
  • [10]
    Zhang, K., Rabl, T., Sun, Y.P., Kumar, R., Zen, N. and Jacobsen, H.-A. PSBench: A Benchmark for Content- and Topic-Based Publish/Subscribe SystemsProceedings of the Middleware ’14 Posters & Demos Session, Bordeaux, France, December 8-12, 2014 (2014), 17–18.
     

2013

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

2012

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

2011

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

2010

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

2009

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

2008

  • Dynamic Allocation in a S... - Download
    [1]
    Rabl, T., Pfeffer, M. and Kosch, H. Dynamic Allocation in a Self-Scaling Cluster DatabaseConcurrency and Computation: Practice and Experience 20 (17) (2008), 2025–2038.
     
  • Interactive TV Services o... - Download
    [2]
    Hölbling, G., Rabl, T., Coquil, D. and Kosch, H. Interactive TV Services on Mobile DevicesIEEE MultiMedia 15 (2) (2008), 72–76.
     
  • Overview of Open Standard... - Download
    [3]
    Hölbling, G., Rabl, T. and Kosch, H. Overview of Open Standards for Interactive TV (iTV) (2008).
     
  • Autorentool für interakt... - Download
    [4]
    Stephan, A., Hölbling, G., Rabl, T., Lehner, F. and Kosch, H. Autorentool für interaktive Videos im E-Learning (2008).
     

2007

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