Tilmann Rabl
Tilmann Rabl
Hasso Plattner Institute, University of Potsdam
Verified email at hpi.de - Homepage
Title
Cited by
Cited by
Year
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
4042013
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
3222012
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
1232018
A data generator for cloud-scale benchmarking
T Rabl, M Frank, HM Sergieh, H Kosch
Technology Conference on Performance Evaluation and Benchmarking, 41-56, 2010
942010
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
632013
Setting the direction for big data benchmark standards
C Baru, M Bhandarkar, R Nambiar, M Poess, T Rabl
Technology Conference on Performance Evaluation and Benchmarking, 197-208, 2012
622012
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
612014
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
452019
Discussion of BigBench: a proposed industry standard performance benchmark for big data
C Baru, M Bhandarkar, C Curino, M Danisch, M Frank, B Gowda, ...
Technology Conference on Performance Evaluation and Benchmarking, 44-63, 2014
382014
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 (6), 797-822, 2018
342018
Efficient Window Aggregation with General Stream Slicing.
J Traub, PM Grulich, AR Cuéllar, S Breß, A Katsifodimos, T Rabl, V Markl
EDBT, 97-108, 2019
312019
Variations of the star schema benchmark to test the effects of data skew on query performance
T Rabl, M Poess, HA Jacobsen, P O'Neil, E O'Neil
Proceedings of the 4th ACM/SPEC International Conference on Performance …, 2013
312013
Big data benchmark compendium
T Ivanov, T Rabl, M Poess, A Queralt, J Poelman, N Poggi, J Buell
Technology Conference on Performance Evaluation and Benchmarking, 135-155, 2015
302015
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
292018
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
292017
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
292014
Big data generation
T Rabl, HA Jacobsen
Specifying Big Data Benchmarks, 20-27, 2012
292012
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
282017
Parallel data generation for performance analysis of large, complex RDBMS
T Rabl, M Poess
Proceedings of the Fourth International Workshop on Testing Database Systems …, 2011
272011
Just can't get enough: Synthesizing Big Data
T Rabl, M Danisch, M Frank, S Schindler, HA Jacobsen
Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015
262015
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