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ORCIDTilmann Rabl
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- affiliation: Hasso Plattner Institute, Potsdam, Germany
- affiliation: University of Potsdam, Germany
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2020 – today
- 2024
[j35]Ricardo Salazar-Díaz, Boris Glavic, Tilmann Rabl:
InferDB: In-Database Machine Learning Inference Using Indexes. Proc. VLDB Endow. 17(8): 1830-1842 (2024)- [c93]Lawrence Benson
, Carsten Binnig, Jan-Micha Bodensohn, Federico Lorenzi, Jigao Luo, Danica Porobic, Tilmann Rabl, Anupam Sanghi, Russell Sears, Pinar Tözün, Tobias Ziegler:
Surprise Benchmarking: The Why, What, and How. DBTest@SIGMOD 2024: 1-8 - [c92]Wang Yue, Rafael Moczalla, Manisha Luthra, Tilmann Rabl:
Deco: Fast and Accurate Decentralized Aggregation of Count-Based Windows in Large-Scale IoT Applications. EDBT 2024: 412-425 - [c91]Niklas Riekenbrauck, Marcel Weisgut, Daniel Lindner, Tilmann Rabl:
A Three-Tier Buffer Manager Integrating CXL Device Memory for Database Systems. ICDEW 2024: 395-401 - 2023
- [j34]Alexander Böhm, Carsten Binnig, Tilmann Rabl, Theo Härder:
Erratum to: Reviving the Workshop Series on Testing Database Systems - DBTest. Datenbank-Spektrum 23(1): 83 (2023) - [j33]Maximilian Böther, Lawrence Benson, Ana Klimovic, Tilmann Rabl:
Analyzing Vectorized Hash Tables Across CPU Architectures. Proc. VLDB Endow. 16(11): 2755-2768 (2023) - [j32]Christoph Brücke, Philipp Härtling, Rodrigo Escobar Palacios, Hamesh Patel, Tilmann Rabl:
TPCx-AI - An Industry Standard Benchmark for Artificial Intelligence and Machine Learning Systems. Proc. VLDB Endow. 16(12): 3649-3661 (2023) - [c90]Ivan Ilic, Ilin Tolovski, Tilmann Rabl:
RMG Sort: Radix-Partitioning-Based Multi-GPU Sorting. BTW 2023: 305-328 - [c89]Lawrence Benson, Marcel Weisgut, Tilmann Rabl:
What We Can Learn from Persistent Memory for CXL. BTW 2023: 757-761 - [c88]Nils Strassenburg, Dominic Kupfer, Julia Kowal, Tilmann Rabl:
Efficient Multi-Model Management. EDBT 2023: 457-463 - [c87]Wang Yue, Lawrence Benson, Tilmann Rabl:
Desis: Efficient Window Aggregation in Decentralized Networks. EDBT 2023: 618-631 - [c86]Lawrence Benson, Richard Ebeling, Tilmann Rabl:
Evaluating SIMD Compiler-Intrinsics for Database Systems. VLDB Workshops 2023 - [c85]Fabian Mahling, Paul Rößler, Thomas Bodner, Tilmann Rabl:
BabelMR: A Polyglot Framework for Serverless MapReduce. VLDB Workshops 2023 - 2022
- [j31]Alexander Böhm, Carsten Binnig, Tilmann Rabl, Theo Härder:
Editorial. Datenbank-Spektrum 22(3): 191-193 (2022) - [j30]Carsten Binnig, Alexander Böhm, Tilmann Rabl, Pinar Tözün:
Reviving the Workshop Series on Testing Database Systems - DBTest. Datenbank-Spektrum 22(3): 257-260 (2022) - [j29]Lawrence Benson, Leon Papke, Tilmann Rabl:
PerMA-Bench: Benchmarking Persistent Memory Access. Proc. VLDB Endow. 15(11): 2463-2476 (2022) - [j28]Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Imperative or Functional Control Flow Handling: Why not the Best of Both Worlds? SIGMOD Rec. 51(1): 60-67 (2022) - [j27]Tilmann Rabl:
Reminiscences on Influential Papers. SIGMOD Rec. 51(4): 42-44 (2022) - [j26]Prashanth Menon, Thamir M. Qadah, Tilmann Rabl, Mohammad Sadoghi, Hans-Arno Jacobsen:
LogStore: A Workload-Aware, Adaptable Key-Value Store on Hybrid Storage Systems. IEEE Trans. Knowl. Data Eng. 34(8): 3867-3882 (2022) - [c84]Lawrence Benson, Tilmann Rabl:
Darwin: Scale-In Stream Processing. CIDR 2022 - [c83]Patrick Damme, Marius Birkenbach, Constantinos Bitsakos, Matthias Boehm, Philippe Bonnet, Florina M. Ciorba, Mark Dokter, Pawel Dowgiallo, Ahmed Eleliemy, Christian Faerber, Georgios I. Goumas, Dirk Habich, Niclas Hedam, Marlies Hofer, Wenjun Huang, Kevin Innerebner, Vasileios Karakostas, Roman Kern, Tomaz Kosar, Alexander Krause, Daniel Krems, Andreas Laber, Wolfgang Lehner, Eric Mier, Marcus Paradies, Bernhard Peischl, Gabrielle Poerwawinata, Stratos Psomadakis, Tilmann Rabl, Piotr Ratuszniak, Pedro Silva, Nikolai Skuppin, Andreas Starzacher, Benjamin Steinwender, Ilin Tolovski, Pinar Tözün, Wojciech Ulatowski, Yuanyuan Wang, Izajasz P. Wrosz, Ales Zamuda, Ce Zhang, Xiaoxiang Zhu:
DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines. CIDR 2022 - [c82]Tobias Maltenberger, Till Lehmann, Lawrence Benson, Tilmann Rabl:
Evaluating In-Memory Hash Joins on Persistent Memory. EDBT 2022: 2:368-2:372 - [c81]Nils Strassenburg, Ilin Tolovski, Tilmann Rabl:
Efficiently Managing Deep Learning Models in a Distributed Environment. EDBT 2022: 2:234-2:246 - [c80]Bonaventura Del Monte, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines [Abstract]. LWDA 2022: 6-7 - [c79]Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects. SIGMOD Conference 2022: 1017-1032 - [c78]Bonaventura Del Monte, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Rethinking Stateful Stream Processing with RDMA. SIGMOD Conference 2022: 1078-1092 - [c77]Tobias Maltenberger, Ivan Ilic, Ilin Tolovski, Tilmann Rabl:
Evaluating Multi-GPU Sorting with Modern Interconnects. SIGMOD Conference 2022: 1795-1809 - [c76]Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Zoi Kaoudi, Tilmann Rabl, Volker Markl:
Materialization and Reuse Optimizations for Production Data Science Pipelines. SIGMOD Conference 2022: 1962-1976 - 2021
- [j25]Ulf Leser, Marcus Hilbrich, Claudia Draxl, Peter Eisert, Lars Grunske, Patrick Hostert, Dagmar Kainmüller, Odej Kao, Birte Kehr, Timo Kehrer, Christoph Koch, Volker Markl, Henning Meyerhenke, Tilmann Rabl, Alexander Reinefeld, Knut Reinert, Kerstin Ritter, Björn Scheuermann, Florian Schintke, Nicole Schweikardt, Matthias Weidlich:
The Collaborative Research Center FONDA. Datenbank-Spektrum 21(3): 255-260 (2021) - [j24]Lawrence Benson, Hendrik Makait, Tilmann Rabl:
Viper: An Efficient Hybrid PMem-DRAM Key-Value Store. Proc. VLDB Endow. 14(9): 1544-1556 (2021) - [j23]Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl:
Scotty: General and Efficient Open-source Window Aggregation for Stream Processing Systems. ACM Trans. Database Syst. 46(1): 1:1-1:46 (2021) - [c75]Maximilian Böther, Otto Kißig, Lawrence Benson, Tilmann Rabl:
Drop It In Like It's Hot: An Analysis of Persistent Memory as a Drop-in Replacement for NVMe SSDs. DaMoN 2021: 7:1-7:8 - [c74]Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Jorge-Arnulfo Quiané-Ruiz, Volker Markl:
Efficient Control Flow in Dataflow Systems: When Ease-of-Use Meets High Performance. ICDE 2021: 1428-1439 - [c73]Prashanth Menon, Thamir M. Qadah, Tilmann Rabl, Mohammad Sadoghi, Hans-Arno Jacobsen:
LogStore: A Workload-aware, Adaptable Key-Value Store on Hybrid Storage Systems (Extended abstract). ICDE 2021: 2321-2322 - [c72]Maximilian Böther, Tilmann Rabl:
Scale-down experiments on TPCx-HS. BiDEDE@SIGMOD 2021: 3:1-3:6 - [c71]Björn Daase, Lars Jonas Bollmeier, Lawrence Benson, Tilmann Rabl:
Maximizing Persistent Memory Bandwidth Utilization for OLAP Workloads. SIGMOD Conference 2021: 339-351 - [c70]Nina Ihde, Paula Marten, Ahmed Eleliemy, Gabrielle Poerwawinata, Pedro Silva, Ilin Tolovski, Florina M. Ciorba, Tilmann Rabl:
A Survey of Big Data, High Performance Computing, and Machine Learning Benchmarks. TPCTC 2021: 98-118 - [e6]Philip A. Bernstein, Tilmann Rabl:
Proceedings of the VLDB 2021 PhD Workshop co-located with the 47th International Conference on Very Large Databases (VLDB 2021), Copenhagen, Denmark, August 16, 2021. CEUR Workshop Proceedings 2971, CEUR-WS.org 2021 [contents] - 2020
- [j22]Abdulrahman Kaitoua, Tilmann Rabl, Volker Markl:
A distributed data exchange engine for polystores. it Inf. Technol. 62(3-4): 145-156 (2020) - [j21]Markus Dreseler, Martin Boissier, Tilmann Rabl, Matthias Uflacker:
Quantifying TPC-H Choke Points and Their Optimizations. Proc. VLDB Endow. 13(8): 1206-1220 (2020) - [j20]David Maier, Rachel Pottinger, AnHai Doan, Eduard C. Dragut, Bill Howe, Joanne Lateulere, John Lateulere, Mostafa Milani, Tilmann Rabl, Dan Suciu, Yufei Tao, Wang-Chiew Tan, Kristin Tufte:
Advice from SIGMOD/PODS 2020. SIGMOD Rec. 49(3): 43-54 (2020) - [c69]Pedro Silva, Wang Yue, Tilmann Rabl:
Incremental stream query analytics. DEBS 2020: 187-192 - [c68]Lawrence Benson, Philipp M. Grulich, Steffen Zeuch, Volker Markl, Tilmann Rabl:
Disco: Efficient Distributed Window Aggregation. EDBT 2020: 423-426 - [c67]Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects. SIGMOD Conference 2020: 1633-1649 - [c66]Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Ziawasch Abedjan, Tilmann Rabl, Volker Markl:
Optimizing Machine Learning Workloads in Collaborative Environments. SIGMOD Conference 2020: 1701-1716 - [c65]Bonaventura Del Monte, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines. SIGMOD Conference 2020: 2471-2486 - [c64]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. SIGMOD Conference 2020: 2487-2503 - [i10]Guenter Hesse, Christoph Matthies, Tilmann Rabl, Matthias Uflacker:
How Fast Can We Insert? A Performance Study of Apache Kafka. CoRR abs/2003.06452 (2020)
2010 – 2019
- 2019
- [j19]Holger J. Meyer, Hannes Grunert, Tim Waizenegger, Lucas Woltmann, Claudio Hartmann, Wolfgang Lehner, Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ziawasch Abedjan, Ariane Ziehn, Tilmann Rabl, Volker Markl, Christian Schmitz, Dhiren Devinder Serai, Tatiane Escobar Gava:
Particulate Matter Matters - The Data Science Challenge @ BTW 2019. Datenbank-Spektrum 19(3): 165-182 (2019) - [j18]Steffen Zeuch, Sebastian Breß, Tilmann Rabl, Bonaventura Del Monte, Jeyhun Karimov, Clemens Lutz, Manuel Renz, Jonas Traub, Volker Markl:
Analyzing Efficient Stream Processing on Modern Hardware. Proc. VLDB Endow. 12(5): 516-530 (2019) - [j17]Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Sebastian Breß, Tilmann Rabl, Volker Markl:
An Intermediate Representation for Optimizing Machine Learning Pipelines. Proc. VLDB Endow. 12(11): 1553-1567 (2019) - [j16]Jeyhun Karimov, Tilmann Rabl, Volker Markl:
AJoin: Ad-hoc Stream Joins at Scale. Proc. VLDB Endow. 13(4): 435-448 (2019) - [c63]Sebastian Breß, Henning Funke, Steffen Zeuch, Tilmann Rabl, Volker Markl:
An Overview of Hawk: A Hardware-Tailored Code Generator for the Heterogeneous Many Core Age. BTW (Workshops) 2019: 87-90 - [c62]Adrian Bartnik, Bonaventura Del Monte, Tilmann Rabl, Volker Markl:
On-the-fly Reconfiguration of Query Plans for Stateful Stream Processing Engines. BTW 2019: 127-146 - [c61]Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ziawasch Abedjan, Tilmann Rabl, Volker Markl:
Explanation of Air Pollution Using External Data Sources. BTW (Workshops) 2019: 297-300 - [c60]Viktor Rosenfeld, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs. DaMoN 2019: 8:1-8:11 - [c59]Philipp M. Grulich, Jonas Traub, Sebastian Breß, Asterios Katsifodimos, Volker Markl, Tilmann Rabl:
Generating Reproducible Out-of-Order Data Streams. DEBS 2019: 256-257 - [c58]Jonas Traub, Philipp M. Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl:
Efficient Window Aggregation with General Stream Slicing. EDBT 2019: 97-108 - [c57]Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl:
Continuous Deployment of Machine Learning Pipelines. EDBT 2019: 397-408 - [c56]Abdulrahman Kaitoua, Tilmann Rabl, Asterios Katsifodimos, Volker Markl:
Muses: Distributed Data Migration System for Polystores. ICDE 2019: 1602-1605 - [c55]Jeyhun Karimov, Tilmann Rabl, Volker Markl:
AStream: Ad-hoc Shared Stream Processing. SIGMOD Conference 2019: 607-622 - [c54]Tilmann Rabl, Christoph Brücke, Philipp Härtling, Stella Stars, Rodrigo Escobar Palacios, Hamesh Patel, Satyam Srivastava, Christoph Boden, Jens Meiners, Sebastian Schelter:
ADABench - Towards an Industry Standard Benchmark for Advanced Analytics. TPCTC 2019: 47-63 - [r1]Alessandro Margara, Tilmann Rabl:
Definition of Data Streams. Encyclopedia of Big Data Technologies 2019 - [i9]Jonas Traub, Julius Hülsmann, Sebastian Breß, Tilmann Rabl, Volker Markl:
SENSE: Scalable Data Acquisition from Distributed Sensors with Guaranteed Time Coherence. CoRR abs/1912.04648 (2019) - 2018
- [j15]Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl:
Efficient and Scalable k‑Means on GPUs. Datenbank-Spektrum 18(3): 157-169 (2018) - [j14]Sherif Sakr, Tilmann Rabl, Martin Hirzel, Paris Carbone, Martin Strohbach:
Dagstuhl Seminar on Big Stream Processing. SIGMOD Rec. 47(3): 36-39 (2018) - [j13]Ziawasch Abedjan, Sebastian B. Simonsen, Volker Markl, Tilmann Rabl, Juan Soto:
Data Management Systems Research at TU Berlin. SIGMOD Rec. 47(4): 23-28 (2018) - [j12]Yue Liu, Shuai Guo, Songlin Hu, Tilmann Rabl, Hans-Arno Jacobsen, Jintao Li, Jiye Wang:
Performance Evaluation and Optimization of Multi-Dimensional Indexes in Hive. IEEE Trans. Serv. Comput. 11(5): 835-849 (2018) - [j11]Sebastian Breß, Bastian Köcher, Henning Funke, Steffen Zeuch, Tilmann Rabl, Volker Markl:
Generating custom code for efficient query execution on heterogeneous processors. VLDB J. 27(6): 797-822 (2018) - [c53]Andreas Kunft, Lukas Stadler, Daniele Bonetta, Cosmin Basca, Jens Meiners, Sebastian Breß, Tilmann Rabl, Juan José Fumero, Volker Markl:
ScootR: Scaling R Dataframes on Dataflow Systems. SoCC 2018: 288-300 - [c52]Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl:
Efficient k-means on GPUs. DaMoN 2018: 3:1-3:3 - [c51]Philipp M. Grulich, René Saitenmacher, Jonas Traub, Sebastian Breß, Tilmann Rabl, Volker Markl:
Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive Windowing. EDBT 2018: 477-480 - [c50]Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl:
Scotty: Efficient Window Aggregation for Out-of-Order Stream Processing. ICDE 2018: 1300-1303 - [c49]Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl:
Benchmarking Distributed Stream Data Processing Systems. ICDE 2018: 1507-1518 - [c48]Meikel Poess, Raghunath Nambiar, Karthik Kulkarni, Chinmayi Narasimhadevara, Tilmann Rabl, Hans-Arno Jacobsen:
Analysis of TPCx-IoT: The First Industry Standard Benchmark for IoT Gateway Systems. ICDE 2018: 1519-1530 - [c47]Jeyhun Karimov, Tilmann Rabl, Volker Markl:
PolyBench: The First Benchmark for Polystores. TPCTC 2018: 24-41 - [c46]Christoph Boden, Tilmann Rabl, Sebastian Schelter, Volker Markl:
Benchmarking Distributed Data Processing Systems for Machine Learning Workloads. TPCTC 2018: 42-57 - [c45]Meikel Poess, Da Qi Ren, Tilmann Rabl, Hans-Arno Jacobsen:
Methods for Quantifying Energy Consumption in TPC-H. ICPE 2018: 293-304 - [e5]Alexander Böhm, Tilmann Rabl:
Proceedings of the 7th International Workshop on Testing Database Systems, DBTest@SIGMOD 2018, Houston, TX, USA, June 15, 2018. ACM 2018 [contents] - [i8]Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl:
Benchmarking Distributed Stream Processing Engines. CoRR abs/1802.08496 (2018) - [i7]Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Volker Markl:
Labyrinth: Compiling Imperative Control Flow to Parallel Dataflows. CoRR abs/1809.06845 (2018) - 2017
- [j10]Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Tilmann Rabl, Volker Markl:
BlockJoin: Efficient Matrix Partitioning Through Joins. Proc. VLDB Endow. 10(13): 2061-2072 (2017) - [c44]Till Rohrmann, Sebastian Schelter, Tilmann Rabl, Volker Markl:
Gilbert: Declarative Sparse Linear Algebra on Massively Parallel Dataflow Systems. BTW 2017: 269-288 - [c43]Meikel Poess, Tilmann Rabl, Hans-Arno Jacobsen:
Analysis of TPC-DS: the first standard benchmark for SQL-based big data systems. SoCC 2017: 573-585 - [c42]Jonas Traub, Sebastian Breß, Tilmann Rabl, Asterios Katsifodimos, Volker Markl:
Optimized on-demand data streaming from sensor nodes. SoCC 2017: 586-597 - [c41]Philipp M. Grulich, Tilmann Rabl, Volker Markl, Csaba István Sidló, András A. Benczúr:
STREAMLINE - Streamlined Analysis of Data at Rest and Data in Motion. EDBT/ICDT Workshops 2017 - [c40]Bonaventura Del Monte, Jeyhun Karimov, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl:
PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization. EDBT/ICDT Workshops 2017 - [c39]Jonas Traub, Nikolaas Steenbergen, Philipp M. Grulich, Tilmann Rabl, Volker Markl:
I2: Interactive Real-Time Visualization for Streaming Data. EDBT 2017: 526-529 - [c38]Christoph Boden, Andrea Spina, Tilmann Rabl, Volker Markl:
Benchmarking Data Flow Systems for Scalable Machine Learning. BeyondMR@SIGMOD 2017: 5:1-5:10 - [c37]Tilmann Rabl, Hans-Arno Jacobsen:
Query Centric Partitioning and Allocation for Partially Replicated Database Systems. SIGMOD Conference 2017: 315-330 - [c36]Christoph Boden, Alexander Alexandrov, Andreas Kunft, Tilmann Rabl, Volker Markl:
PEEL: A Framework for Benchmarking Distributed Systems and Algorithms. TPCTC 2017: 9-24 - [i6]Sebastian Breß, Bastian Köcher, Henning Funke, Tilmann Rabl, Volker Markl:
Generating Custom Code for Efficient Query Execution on Heterogeneous Processors. CoRR abs/1709.00700 (2017) - [i5]Tilmann Rabl, Sherif Sakr, Martin Hirzel:
Big Stream Processing Systems (Dagstuhl Seminar 17441). Dagstuhl Reports 7(10): 111-138 (2017) - 2016
- [j9]Tilmann Rabl, Jonas Traub, Asterios Katsifodimos, Volker Markl:
Apache Flink in current research. it Inf. Technol. 58(4): 157-165 (2016) - [c35]Paul Cao, Bhaskar Gowda, Seetha Lakshmi, Chinmayi Narasimhadevara, Patrick Nguyen, John Poelman, Meikel Poess, Tilmann Rabl:
From BigBench to TPCx-BB: Standardization of a Big Data Benchmark. TPCTC 2016: 24-44 - [e4]Tilmann Rabl, Raghunath Nambiar, Chaitanya K. Baru, Milind A. Bhandarkar, Meikel Poess, Saumyadipta Pyne:
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. Lecture Notes in Computer Science 10044, Springer 2016, ISBN 978-3-319-49747-1 [contents] - [i4]András A. Benczúr, Róbert Pálovics, Márton Balassi, Volker Markl, Tilmann Rabl, Juan Soto, Björn Hovstadius, Jim Dowling, Seif Haridi:
Towards Streamlined Big Data Analytics. ERCIM News 2016(107) (2016) - 2015
- [c34]Dantong Song, Kaiwen Zhang, Tilmann Rabl, Prashanth Menon, Hans-Arno Jacobsen:
High performance stream queries in scala. DEBS 2015: 322-323 - [c33]Songlin Hu, Wantao Liu, Tilmann Rabl, Shuo Huang, Ying Liang, Zheng Xiao, Hans-Arno Jacobsen, Xubin Pei, Jiye Wang:
DualTable: A hybrid storage model for update optimization in Hive. ICDE 2015: 1340-1351 - [c32]Jonas Traub, Tilmann Rabl, Fabian Hueske, Till Rohrmann, Volker Markl:
Die Apache Flink Plattform zur parallelen Analyse von Datenströmen und Stapeldaten. LWA 2015: 403-408 - [c31]Tilmann Rabl, Michael Frank, Manuel Danisch, Hans-Arno Jacobsen, Bhaskar Gowda:
The Vision of BigBench 2.0. DanaC@SIGMOD 2015: 3:1-3:4 - [c30]Tilmann Rabl, Manuel Danisch, Michael Frank, Sebastian Schindler, Hans-Arno Jacobsen:
Just can't get enough: Synthesizing Big Data. SIGMOD Conference 2015: 1457-1462 - [c29]Raghunath Nambiar, Tilmann Rabl, Karthik Kulkarni, Michael Frank:
Enhancing Data Generation in TPCx-HS with a Non-uniform Random Distribution. TPCTC 2015: 94-129 - [c28]Todor Ivanov, Tilmann Rabl, Meikel Poess, Anna Queralt, John Poelman, Nicolás Poggi, Jeffrey Buell:
Big Data Benchmark Compendium. TPCTC 2015: 135-155 - [e3]Tilmann Rabl, Kai Sachs, Meikel Poess, Chaitanya K. Baru, Hans-Arno Jacobsen:
Big Data Benchmarking - 5th International Workshop, WBDB 2014, Potsdam, Germany, August 5-6, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8991, Springer 2015, ISBN 978-3-319-20232-7 [contents] - 2014
- [j8]Meikel Poess, Tilmann Rabl, Hans-Arno Jacobsen, Brian Caufield:
TPC-DI: The First Industry Benchmark for Data Integration. Proc. VLDB Endow. 7(13): 1367-1378 (2014) - [j7]Yue Liu, Songlin Hu, Tilmann Rabl, Wantao Liu, Hans-Arno Jacobsen, Kaifeng Wu, Jian Chen, Jintao Li:
DGFIndex for Smart Grid: Enhancing Hive with a Cost-Effective Multidimensional Range Index. Proc. VLDB Endow. 7(13): 1496-1507 (2014) - [c27]Tilmann Rabl, Hans-Arno Jacobsen:
Materialized views in Cassandra. CASCON 2014: 351-354 - [c26]Prashanth Menon, Tilmann Rabl, Mohammad Sadoghi, Hans-Arno Jacobsen:
Optimizing key-value stores for hybrid storage architectures. CASCON 2014: 355-358 - [c25]Prashanth Menon, Tilmann Rabl, Mohammad Sadoghi, Hans-Arno Jacobsen:
CaSSanDra: An SSD boosted key-value store. ICDE 2014: 1162-1167 - [c24]Kaiwen Zhang, Tilmann Rabl, Yi Ping Sun, Rushab Kumar, Nayeem Zen, Hans-Arno Jacobsen:
PSBench: a benchmark for content- and topic-based publish/subscribe systems. Middleware (Posters & Demos) 2014: 17-18 - [c23]Chaitanya K. Baru, Milind A. Bhandarkar, Carlo Curino, Manuel Danisch, Michael Frank, Bhaskar Gowda, Hans-Arno Jacobsen, Huang Jie, Dileep Kumar, Raghunath Othayoth Nambiar, Meikel Poess, Francois Raab, Tilmann Rabl, Nishkam Ravi, Kai Sachs, Saptak Sen, Lan Yi, Choonhan Youn:
Discussion of BigBench: A Proposed Industry Standard Performance Benchmark for Big Data. TPCTC 2014: 44-63 - [c22]Tilmann Rabl, Michael Frank, Manuel Danisch, Bhaskar Gowda, Hans-Arno Jacobsen:
Towards a Complete BigBench Implementation. WBDB 2014: 3-11 - [e2]Tilmann Rabl, Meikel Poess, Chaitanya K. Baru, Hans-Arno Jacobsen:
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. Lecture Notes in Computer Science 8163, Springer 2014, ISBN 978-3-642-53973-2 [contents] - [e1]Tilmann Rabl, Hans-Arno Jacobsen, Raghunath Nambiar, Meikel Poess, Milind A. Bhandarkar, Chaitanya K. Baru:
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. Lecture Notes in Computer Science 8585, Springer 2014, ISBN 978-3-319-10595-6 [contents] - [i3]Yue Liu, Songlin Hu, Tilmann Rabl, Wantao Liu, Hans-Arno Jacobsen, Kaifeng Wu, Jian Chen:
DGFIndex for Smart Grid: Enhancing Hive with a Cost-Effective Multidimensional Range Index. CoRR abs/1404.5686 (2014) - [i2]