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Tilmann Rabl
Tilmann Rabl
Hasso Plattner Institute, University of Potsdam
Geverifieerd e-mailadres voor hpi.de - Homepage
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Bigbench: Towards an industry standard benchmark for big data analytics
A Ghazal, T Rabl, M Hu, F Raab, M Poess, A Crolotte, HA Jacobsen
Proceedings of the 2013 ACM SIGMOD international conference on Management of …, 2013
4632013
Solving big data challenges for enterprise application performance management
T Rabl, M Sadoghi, HA Jacobsen, S Gómez-Villamor, V Muntés-Mulero, ...
arXiv preprint arXiv:1208.4167, 2012
3572012
Benchmarking distributed stream data processing systems
J Karimov, T Rabl, A Katsifodimos, R Samarev, H Heiskanen, V Markl
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1507-1518, 2018
2232018
A data generator for cloud-scale benchmarking
T Rabl, M Frank, HM Sergieh, H Kosch
Performance Evaluation, Measurement and Characterization of Complex Systems …, 2011
1002011
Analyzing efficient stream processing on modern hardware
S Zeuch, BD Monte, J Karimov, C Lutz, M Renz, J Traub, S Breß, T Rabl, ...
Proceedings of the VLDB Endowment 12 (5), 516-530, 2019
912019
TPC-DI: The First Industry Benchmark for Data Integration
M Poess, T Rabl, HA Jacobsen, B Caufield
Proceedings of the VLDB Endowment 7 (13), 2014
742014
Benchmarking big data systems and the bigdata top100 list
C Baru, M Bhandarkar, R Nambiar, M Poess, T Rabl
Big Data 1 (1), 60-64, 2013
682013
Setting the direction for big data benchmark standards
C Baru, M Bhandarkar, R Nambiar, M Poess, T Rabl
Selected Topics in Performance Evaluation and Benchmarking: 4th TPC …, 2013
662013
Efficient Window Aggregation with General Stream Slicing.
J Traub, PM Grulich, AR Cuéllar, S Breß, A Katsifodimos, T Rabl, V Markl
EDBT 19, 97-108, 2019
602019
Generating custom code for efficient query execution on heterogeneous processors
S Breß, B Köcher, H Funke, S Zeuch, T Rabl, V Markl
The VLDB Journal 27, 797-822, 2018
552018
Pump up the volume: Processing large data on GPUs with fast interconnects
C Lutz, S Breß, S Zeuch, T Rabl, V Markl
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
472020
An intermediate representation for optimizing machine learning pipelines
A Kunft, A Katsifodimos, S Schelter, S Breß, T Rabl, V Markl
Proceedings of the VLDB Endowment 12 (11), 1553-1567, 2019
472019
Scotty: Efficient window aggregation for out-of-order stream processing
J Traub, PM Grulich, AR Cuellar, S Breß, A Katsifodimos, T Rabl, V Markl
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1300-1303, 2018
472018
Rhino: Efficient management of very large distributed state for stream processing engines
B Del Monte, S Zeuch, T Rabl, V Markl
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
402020
Query centric partitioning and allocation for partially replicated database systems
T Rabl, HA Jacobsen
Proceedings of the 2017 ACM International Conference on Management of Data …, 2017
402017
Discussion of BigBench: a proposed industry standard performance benchmark for big data
C Baru, M Bhandarkar, C Curino, M Danisch, M Frank, B Gowda, ...
Performance Characterization and Benchmarking. Traditional to Big Data: 6th …, 2015
392015
CaSSanDra: An SSD boosted key-value store
P Menon, T Rabl, M Sadoghi, HA Jacobsen
2014 IEEE 30th International Conference on Data Engineering, 1162-1167, 2014
382014
Big data benchmark compendium
T Ivanov, T Rabl, M Poess, A Queralt, J Poelman, N Poggi, J Buell
Performance Evaluation and Benchmarking: Traditional to Big Data to Internet …, 2016
362016
Optimized on-demand data streaming from sensor nodes
J Traub, S Breß, T Rabl, A Katsifodimos, V Markl
Proceedings of the 2017 Symposium on Cloud Computing, 586-597, 2017
342017
Analysis of TPC-DS: the first standard benchmark for SQL-based big data systems
M Poess, T Rabl, HA Jacobsen
Proceedings of the 2017 Symposium on Cloud Computing, 573-585, 2017
332017
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Artikelen 1–20