Tilmann Rabl

According to our database, Tilmann Rabl authored at least 136 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Deco: Fast and Accurate Decentralized Aggregation of Count-Based Windows in Large-Scale IoT Applications.

Wang Yue, Rafael Moczalla, Manisha Luthra, Tilmann Rabl

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023

Erratum to: Reviving the Workshop Series on Testing Database Systems - DBTest.

Alexander Böhm, Carsten Binnig, Tilmann Rabl, Theo Härder

Datenbank-Spektrum, March, 2023

TPCx-AI - An Industry Standard Benchmark for Artificial Intelligence and Machine Learning Systems.

Christoph Brücke, Philipp Härtling, Rodrigo Escobar Palacios, Hamesh Patel, Tilmann Rabl

Proc. VLDB Endow., 2023

Analyzing Vectorized Hash Tables Across CPU Architectures.

Maximilian Böther, Lawrence Benson, Ana Klimovic, Tilmann Rabl

Proc. VLDB Endow., 2023

BabelMR: A Polyglot Framework for Serverless MapReduce.

Fabian Mahling, Paul Rößler, Thomas Bodner, Tilmann Rabl

Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

Evaluating SIMD Compiler-Intrinsics for Database Systems.

Lawrence Benson, Richard Ebeling, Tilmann Rabl

Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

Desis: Efficient Window Aggregation in Decentralized Networks.

Wang Yue, Lawrence Benson, Tilmann Rabl

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

Efficient Multi-Model Management.

Nils Strassenburg, Dominic Kupfer, Julia Kowal, Tilmann Rabl

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

RMG Sort: Radix-Partitioning-Based Multi-GPU Sorting.

Ivan Ilic, Ilin Tolovski, Tilmann Rabl

Proceedings of the Datenbanksysteme für Business, 2023

What We Can Learn from Persistent Memory for CXL.

Lawrence Benson, Marcel Weisgut, Tilmann Rabl

Proceedings of the Datenbanksysteme für Business, 2023

2022

Reminiscences on Influential Papers.

Tilmann Rabl

SIGMOD Rec., December, 2022

Editorial.

Alexander Böhm, Carsten Binnig, Tilmann Rabl, Theo Härder

Datenbank-Spektrum, November, 2022

Reviving the Workshop Series on Testing Database Systems - DBTest.

Carsten Binnig, Alexander Böhm, Tilmann Rabl, Pinar Tözün

Datenbank-Spektrum, November, 2022

LogStore: A Workload-Aware, Adaptable Key-Value Store on Hybrid Storage Systems.

Prashanth Menon, Thamir M. Qadah, Tilmann Rabl, Mohammad Sadoghi, Hans-Arno Jacobsen

IEEE Trans. Knowl. Data Eng., 2022

Imperative or Functional Control Flow Handling: Why not the Best of Both Worlds?

Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Jorge-Arnulfo Quiané-Ruiz, Volker Markl

SIGMOD Rec., 2022

PerMA-Bench: Benchmarking Persistent Memory Access.

Lawrence Benson, Leon Papke, Tilmann Rabl

Proc. VLDB Endow., 2022

Rethinking Stateful Stream Processing with RDMA.

Bonaventura Del Monte, Steffen Zeuch, Tilmann Rabl, Volker Markl

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Evaluating Multi-GPU Sorting with Modern Interconnects.

Tobias Maltenberger, Ivan Ilic, Ilin Tolovski, Tilmann Rabl

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects.

Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Materialization and Reuse Optimizations for Production Data Science Pipelines.

Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Zoi Kaoudi, Tilmann Rabl, Volker Markl

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines [Abstract].

Bonaventura Del Monte, Steffen Zeuch, Tilmann Rabl, Volker Markl

Proceedings of the LWDA 2022 Workshops: FGWM, 2022

Efficiently Managing Deep Learning Models in a Distributed Environment.

Nils Strassenburg, Ilin Tolovski, Tilmann Rabl

Proceedings of the 25th International Conference on Extending Database Technology, 2022

Evaluating In-Memory Hash Joins on Persistent Memory.

Tobias Maltenberger, Till Lehmann, Lawrence Benson, Tilmann Rabl

Proceedings of the 25th International Conference on Extending Database Technology, 2022

DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines.

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

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

Darwin: Scale-In Stream Processing.

Lawrence Benson, Tilmann Rabl

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2021

Scotty: General and Efficient Open-source Window Aggregation for Stream Processing Systems.

Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl

ACM Trans. Database Syst., 2021

Viper: An Efficient Hybrid PMem-DRAM Key-Value Store.

Lawrence Benson, Hendrik Makait, Tilmann Rabl

Proc. VLDB Endow., 2021

The Collaborative Research Center FONDA.

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

Datenbank-Spektrum, 2021

A Survey of Big Data, High Performance Computing, and Machine Learning Benchmarks.

Nina Ihde, Paula Marten, Ahmed Eleliemy, Gabrielle Poerwawinata, Pedro Silva, Ilin Tolovski, Florina M. Ciorba, Tilmann Rabl

Proceedings of the Performance Evaluation and Benchmarking, 2021

Maximizing Persistent Memory Bandwidth Utilization for OLAP Workloads.

Björn Daase, Lars Jonas Bollmeier, Lawrence Benson, Tilmann Rabl

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Scale-down experiments on TPCx-HS.

Maximilian Böther, Tilmann Rabl

Proceedings of the BiDEDE '21: Proceedings of the International Workshop on Big Data in Emergent Distributed Environments, 2021

LogStore: A Workload-aware, Adaptable Key-Value Store on Hybrid Storage Systems (Extended abstract).

Prashanth Menon, Thamir M. Qadah, Tilmann Rabl, Mohammad Sadoghi, Hans-Arno Jacobsen

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Efficient Control Flow in Dataflow Systems: When Ease-of-Use Meets High Performance.

Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Jorge-Arnulfo Quiané-Ruiz, Volker Markl

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Drop It In Like It's Hot: An Analysis of Persistent Memory as a Drop-in Replacement for NVMe SSDs.

Maximilian Böther, Otto Kißig, Lawrence Benson, Tilmann Rabl

Proceedings of the 17th International Workshop on Data Management on New Hardware, 2021

2020

Advice from SIGMOD/PODS 2020.

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

SIGMOD Rec., 2020

Quantifying TPC-H Choke Points and Their Optimizations.

Markus Dreseler, Martin Boissier, Tilmann Rabl, Matthias Uflacker

Proc. VLDB Endow., 2020

A distributed data exchange engine for polystores.

Abdulrahman Kaitoua, Tilmann Rabl, Volker Markl

it Inf. Technol., 2020

How Fast Can We Insert? A Performance Study of Apache Kafka.

Guenter Hesse, Christoph Matthies, Tilmann Rabl, Matthias Uflacker

CoRR, 2020

Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines.

Bonaventura Del Monte, Steffen Zeuch, Tilmann Rabl, Volker Markl

Proceedings of the 2020 International Conference on Management of Data, 2020

Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects.

Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl

Proceedings of the 2020 International Conference on Management of Data, 2020

Grizzly: Efficient Stream Processing Through Adaptive Query Compilation.

Philipp M. Grulich, Sebastian Breß, Steffen Zeuch, Jonas Traub, Janis von Bleichert, Zongxiong Chen, Tilmann Rabl, Volker Markl

Proceedings of the 2020 International Conference on Management of Data, 2020

Optimizing Machine Learning Workloads in Collaborative Environments.

Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Ziawasch Abedjan, Tilmann Rabl, Volker Markl

Proceedings of the 2020 International Conference on Management of Data, 2020

Disco: Efficient Distributed Window Aggregation.

Lawrence Benson, Philipp M. Grulich, Steffen Zeuch, Volker Markl, Tilmann Rabl

Proceedings of the 23rd International Conference on Extending Database Technology, 2020

Incremental stream query analytics.

Pedro Silva, Wang Yue, Tilmann Rabl

Proceedings of the 14th ACM International Conference on Distributed and Event-based Systems, 2020

2019

Definition of Data Streams.

Alessandro Margara, Tilmann Rabl

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Analyzing Efficient Stream Processing on Modern Hardware.

Steffen Zeuch, Sebastian Breß, Tilmann Rabl, Bonaventura Del Monte, Jeyhun Karimov, Clemens Lutz, Manuel Renz, Jonas Traub, Volker Markl

Proc. VLDB Endow., 2019

An Intermediate Representation for Optimizing Machine Learning Pipelines.

Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Sebastian Breß, Tilmann Rabl, Volker Markl

Proc. VLDB Endow., 2019

AJoin: Ad-hoc Stream Joins at Scale.

Jeyhun Karimov, Tilmann Rabl, Volker Markl

Proc. VLDB Endow., 2019

Particulate Matter Matters - The Data Science Challenge @ BTW 2019.

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

Datenbank-Spektrum, 2019

SENSE: Scalable Data Acquisition from Distributed Sensors with Guaranteed Time Coherence.

Jonas Traub, Julius Hülsmann, Sebastian Breß, Tilmann Rabl, Volker Markl

CoRR, 2019

ADABench - Towards an Industry Standard Benchmark for Advanced Analytics.

Tilmann Rabl, Christoph Brücke, Philipp Härtling, Stella Stars, Rodrigo Escobar Palacios, Hamesh Patel, Satyam Srivastava, Christoph Boden, Jens Meiners, Sebastian Schelter

Proceedings of the Performance Evaluation and Benchmarking for the Era of Cloud(s), 2019

AStream: Ad-hoc Shared Stream Processing.

Jeyhun Karimov, Tilmann Rabl, Volker Markl

Proceedings of the 2019 International Conference on Management of Data, 2019

Muses: Distributed Data Migration System for Polystores.

Abdulrahman Kaitoua, Tilmann Rabl, Asterios Katsifodimos, Volker Markl

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Efficient Window Aggregation with General Stream Slicing.

Jonas Traub, Philipp M. Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl

Proceedings of the Advances in Database Technology, 2019

Continuous Deployment of Machine Learning Pipelines.

Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl

Proceedings of the Advances in Database Technology, 2019

Generating Reproducible Out-of-Order Data Streams.

Philipp M. Grulich, Jonas Traub, Sebastian Breß, Asterios Katsifodimos, Volker Markl, Tilmann Rabl

Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems, 2019

Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs.

Viktor Rosenfeld, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl

Proceedings of the 15th International Workshop on Data Management on New Hardware, 2019

Explanation of Air Pollution Using External Data Sources.

Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ziawasch Abedjan, Tilmann Rabl, Volker Markl

Proceedings of the Datenbanksysteme für Business, 2019

An Overview of Hawk: A Hardware-Tailored Code Generator for the Heterogeneous Many Core Age.

Sebastian Breß, Henning Funke, Steffen Zeuch, Tilmann Rabl, Volker Markl

Proceedings of the Datenbanksysteme für Business, 2019

On-the-fly Reconfiguration of Query Plans for Stateful Stream Processing Engines.

Adrian Bartnik, Bonaventura Del Monte, Tilmann Rabl, Volker Markl

Proceedings of the Datenbanksysteme für Business, 2019

2018

Generating custom code for efficient query execution on heterogeneous processors.

Sebastian Breß, Bastian Köcher, Henning Funke, Steffen Zeuch, Tilmann Rabl, Volker Markl

VLDB J., 2018

Performance Evaluation and Optimization of Multi-Dimensional Indexes in Hive.

Yue Liu, Shuai Guo, Songlin Hu, Tilmann Rabl, Hans-Arno Jacobsen, Jintao Li, Jiye Wang

IEEE Trans. Serv. Comput., 2018

Dagstuhl Seminar on Big Stream Processing.

Sherif Sakr, Tilmann Rabl, Martin Hirzel, Paris Carbone, Martin Strohbach

SIGMOD Rec., 2018

Data Management Systems Research at TU Berlin.

Ziawasch Abedjan, Sebastian B. Simonsen, Volker Markl, Tilmann Rabl, Juan Soto

SIGMOD Rec., 2018

Efficient and Scalable k‑Means on GPUs.

Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl

Datenbank-Spektrum, 2018

Labyrinth: Compiling Imperative Control Flow to Parallel Dataflows.

Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Volker Markl

CoRR, 2018

Benchmarking Distributed Stream Processing Engines.

Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl

CoRR, 2018

Methods for Quantifying Energy Consumption in TPC-H.

Meikel Poess, Da Qi Ren, Tilmann Rabl, Hans-Arno Jacobsen

Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

PolyBench: The First Benchmark for Polystores.

Jeyhun Karimov, Tilmann Rabl, Volker Markl

Proceedings of the Performance Evaluation and Benchmarking for the Era of Artificial Intelligence, 2018

Benchmarking Distributed Data Processing Systems for Machine Learning Workloads.

Christoph Boden, Tilmann Rabl, Sebastian Schelter, Volker Markl

Proceedings of the Performance Evaluation and Benchmarking for the Era of Artificial Intelligence, 2018

Scotty: Efficient Window Aggregation for Out-of-Order Stream Processing.

Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Analysis of TPCx-IoT: The First Industry Standard Benchmark for IoT Gateway Systems.

Meikel Poess, Raghunath Nambiar, Karthik Kulkarni, Chinmayi Narasimhadevara, Tilmann Rabl, Hans-Arno Jacobsen

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Benchmarking Distributed Stream Data Processing Systems.

Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive Windowing.

Philipp M. Grulich, René Saitenmacher, Jonas Traub, Sebastian Breß, Tilmann Rabl, Volker Markl

Proceedings of the 21st International Conference on Extending Database Technology, 2018

Efficient k-means on GPUs.

Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl

Proceedings of the 14th International Workshop on Data Management on New Hardware, 2018

ScootR: Scaling R Dataframes on Dataflow Systems.

Andreas Kunft, Lukas Stadler, Daniele Bonetta, Cosmin Basca, Jens Meiners, Sebastian Breß, Tilmann Rabl, Juan José Fumero, Volker Markl

Proceedings of the ACM Symposium on Cloud Computing, 2018

2017

BlockJoin: Efficient Matrix Partitioning Through Joins.

Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Tilmann Rabl, Volker Markl

Proc. VLDB Endow., 2017

Big Stream Processing Systems (Dagstuhl Seminar 17441).

Tilmann Rabl, Sherif Sakr, Martin Hirzel

Dagstuhl Reports, 2017

Generating Custom Code for Efficient Query Execution on Heterogeneous Processors.

Sebastian Breß, Bastian Köcher, Henning Funke, Tilmann Rabl, Volker Markl

CoRR, 2017

PEEL: A Framework for Benchmarking Distributed Systems and Algorithms.

Christoph Boden, Alexander Alexandrov, Andreas Kunft, Tilmann Rabl, Volker Markl

Proceedings of the Performance Evaluation and Benchmarking for the Analytics Era, 2017

Query Centric Partitioning and Allocation for Partially Replicated Database Systems.

Tilmann Rabl, Hans-Arno Jacobsen

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Benchmarking Data Flow Systems for Scalable Machine Learning.

Christoph Boden, Andrea Spina, Tilmann Rabl, Volker Markl

Proceedings of the 4th ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond, 2017

I²: Interactive Real-Time Visualization for Streaming Data.

Jonas Traub, Nikolaas Steenbergen, Philipp M. Grulich, Tilmann Rabl, Volker Markl

Proceedings of the 20th International Conference on Extending Database Technology, 2017

PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization.

Bonaventura Del Monte, Jeyhun Karimov, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl

Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017), 2017

STREAMLINE - Streamlined Analysis of Data at Rest and Data in Motion.

Philipp M. Grulich, Tilmann Rabl, Volker Markl, Csaba István Sidló, András A. Benczúr

Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017), 2017

Optimized on-demand data streaming from sensor nodes.

Jonas Traub, Sebastian Breß, Tilmann Rabl, Asterios Katsifodimos, Volker Markl

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

Analysis of TPC-DS: the first standard benchmark for SQL-based big data systems.

Meikel Poess, Tilmann Rabl, Hans-Arno Jacobsen

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

Gilbert: Declarative Sparse Linear Algebra on Massively Parallel Dataflow Systems.

Till Rohrmann, Sebastian Schelter, Tilmann Rabl, Volker Markl

Proceedings of the Datenbanksysteme für Business, 2017

2016

Apache Flink in current research.

Tilmann Rabl, Jonas Traub, Asterios Katsifodimos, Volker Markl

it Inf. Technol., 2016

Towards Streamlined Big Data Analytics.

András A. Benczúr, Róbert Pálovics, Márton Balassi, Volker Markl, Tilmann Rabl, Juan Soto, Björn Hovstadius, Jim Dowling, Seif Haridi

ERCIM News, 2016

From BigBench to TPCx-BB: Standardization of a Big Data Benchmark.

Paul Cao, Bhaskar Gowda, Seetha Lakshmi, Chinmayi Narasimhadevara, Patrick Nguyen, John Poelman, Meikel Poess, Tilmann Rabl

Proceedings of the Performance Evaluation and Benchmarking. Traditional - Big Data - Interest of Things, 2016

2015

Enhancing Data Generation in TPCx-HS with a Non-uniform Random Distribution.

Raghunath Nambiar, Tilmann Rabl, Karthik Kulkarni, Michael Frank

Proceedings of the Performance Evaluation and Benchmarking: Traditional to Big Data to Internet of Things, 2015

Big Data Benchmark Compendium.

Todor Ivanov, Tilmann Rabl, Meikel Poess, Anna Queralt, John Poelman, Nicolás Poggi, Jeffrey Buell

Proceedings of the Performance Evaluation and Benchmarking: Traditional to Big Data to Internet of Things, 2015

The Vision of BigBench 2.0.

Tilmann Rabl, Michael Frank, Manuel Danisch, Hans-Arno Jacobsen, Bhaskar Gowda

Proceedings of the Fourth Workshop on Data analytics in the Cloud, 2015

Just can't get enough: Synthesizing Big Data.

Tilmann Rabl, Manuel Danisch, Michael Frank, Sebastian Schindler, Hans-Arno Jacobsen

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Die Apache Flink Plattform zur parallelen Analyse von Datenströmen und Stapeldaten.

Jonas Traub, Tilmann Rabl, Fabian Hueske, Till Rohrmann, Volker Markl

Proceedings of the LWA 2015 Workshops: KDML, 2015

DualTable: A hybrid storage model for update optimization in Hive.

Songlin Hu, Wantao Liu, Tilmann Rabl, Shuo Huang, Ying Liang, Zheng Xiao, Hans-Arno Jacobsen, Xubin Pei, Jiye Wang

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

High performance stream queries in scala.

Dantong Song, Kaiwen Zhang, Tilmann Rabl, Prashanth Menon, Hans-Arno Jacobsen

Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems, 2015

2014

TPC-DI: The First Industry Benchmark for Data Integration.

Meikel Poess, Tilmann Rabl, Hans-Arno Jacobsen, Brian Caufield

Proc. VLDB Endow., 2014

DGFIndex for Smart Grid: Enhancing Hive with a Cost-Effective Multidimensional Range Index.

Yue Liu, Songlin Hu, Tilmann Rabl, Wantao Liu, Hans-Arno Jacobsen, Kaifeng Wu, Jian Chen, Jintao Li

Proc. VLDB Endow., 2014

DGFIndex for Smart Grid: Enhancing Hive with a Cost-Effective Multidimensional Range Index.

Yue Liu, Songlin Hu, Tilmann Rabl, Wantao Liu, Hans-Arno Jacobsen, Kaifeng Wu, Jian Chen

CoRR, 2014

DualTable: A Hybrid Storage Model for Update Optimization in Hive.

Songlin Hu, Wantao Liu, Tilmann Rabl, Shuo Huang, Ying Liang, Zheng Xiao, Hans-Arno Jacobsen, Xubin Pei

CoRR, 2014

Towards a Complete BigBench Implementation.

Tilmann Rabl, Michael Frank, Manuel Danisch, Bhaskar Gowda, Hans-Arno Jacobsen

Proceedings of the Big Data Benchmarking - 5th International Workshop, 2014

Discussion of BigBench: A Proposed Industry Standard Performance Benchmark for Big Data.

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

Proceedings of the Performance Characterization and Benchmarking. Traditional to Big Data, 2014

PSBench: a benchmark for content- and topic-based publish/subscribe systems.

Kaiwen Zhang, Tilmann Rabl, Yi Ping Sun, Rushab Kumar, Nayeem Zen, Hans-Arno Jacobsen

Proceedings of the Middleware '14 Posters & Demos Session, 2014

CaSSanDra: An SSD boosted key-value store.

Prashanth Menon, Tilmann Rabl, Mohammad Sadoghi, Hans-Arno Jacobsen

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Materialized views in Cassandra.

Tilmann Rabl, Hans-Arno Jacobsen

Proceedings of 24th Annual International Conference on Computer Science and Software Engineering, 2014

Optimizing key-value stores for hybrid storage architectures.

Prashanth Menon, Tilmann Rabl, Mohammad Sadoghi, Hans-Arno Jacobsen

Proceedings of 24th Annual International Conference on Computer Science and Software Engineering, 2014

2013

Benchmarking Big Data Systems and the BigData Top100 List.

Chaitanya K. Baru, Milind A. Bhandarkar, Raghunath Nambiar, Meikel Poess, Tilmann Rabl

Big Data, 2013

Variations of the star schema benchmark to test the effects of data skew on query performance.

Tilmann Rabl, Meikel Poess, Hans-Arno Jacobsen, Patrick E. O'Neil, Elizabeth J. O'Neil

Proceedings of the ACM/SPEC International Conference on Performance Engineering, 2013

A BigBench Implementation in the Hadoop Ecosystem.

Badrul Chowdhury, Tilmann Rabl, Pooya Saadatpanah, Jiang Du, Hans-Arno Jacobsen

Proceedings of the Advancing Big Data Benchmarks, 2013

Rapid development of data generators using meta generators in PDGF.

Tilmann Rabl, Meikel Poess, Manuel Danisch, Hans-Arno Jacobsen

Proceedings of the Sixth International Workshop on Testing Database Systems, 2013

BigBench: towards an industry standard benchmark for big data analytics.

Ahmad Ghazal, Tilmann Rabl, Minqing Hu, Francois Raab, Meikel Poess, Alain Crolotte, Hans-Arno Jacobsen

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Poster: MADES - a multi-layered, adaptive, distributed event store.

Tilmann Rabl, Mohammad Sadoghi, Kaiwen Zhang, Hans-Arno Jacobsen

Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems, 2013

Grand challenge: the bluebay soccer monitoring engine.

Hans-Arno Jacobsen, Kianoosh Mokhtarian, Tilmann Rabl, Mohammad Sadoghi, Reza Sherafat Kazemzadeh, Young Yoon, Kaiwen Zhang

Proceedings of the 7th ACM International Conference on Distributed Event-Based Systems, 2013

2012

Solving Big Data Challenges for Enterprise Application Performance Management.

Tilmann Rabl, Mohammad Sadoghi, Hans-Arno Jacobsen, Sergio Gómez-Villamor, Victor Muntés-Mulero, Serge Mankowskii

Proc. VLDB Endow., 2012

Landmark-assisted location and tracking in outdoor mobile network.

Marco Anisetti, Claudio A. Ardagna, Valerio Bellandi, Ernesto Damiani, Mario Döller, Florian Stegmaier, Tilmann Rabl, Harald Kosch, Lionel Brunie

Multim. Tools Appl., 2012

Efficient update data generation for DBMS benchmarks.

Michael Frank, Meikel Poess, Tilmann Rabl

Proceedings of the Third Joint WOSP/SIPEW International Conference on Performance Engineering, 2012

Big Data Generation.

Tilmann Rabl, Hans-Arno Jacobsen

Proceedings of the Specifying Big Data Benchmarks, 2012

BigBench Specification V0.1 - BigBench: An Industry Standard Benchmark for Big Data Analytics.

Tilmann Rabl, Ahmad Ghazal, Minqing Hu, Alain Crolotte, Francois Raab, Meikel Poess, Hans-Arno Jacobsen

Proceedings of the Specifying Big Data Benchmarks, 2012

Processing Big Events with Showers and Streams.

Christoph Doblander, Tilmann Rabl, Hans-Arno Jacobsen

Proceedings of the Specifying Big Data Benchmarks, 2012

Setting the Direction for Big Data Benchmark Standards.

Chaitanya K. Baru, Milind A. Bhandarkar, Raghunath Othayoth Nambiar, Meikel Poess, Tilmann Rabl

Proceedings of the Selected Topics in Performance Evaluation and Benchmarking, 2012

Solving manufacturing equipment monitoring through efficient complex event processing: DEBS grand challenge.

Tilmann Rabl, Kaiwen Zhang, Mohammad Sadoghi, Navneet Kumar Pandey, Aakash Nigam, Chen Wang, Hans-Arno Jacobsen

Proceedings of the Sixth ACM International Conference on Distributed Event-Based Systems, 2012

2011

Efficiency in Cluster Database Systems - Dynamic and Workload-Aware Scaling and Allocation.

Tilmann Rabl

PhD thesis, 2011

A PDGF Implementation for TPC-H.

Meikel Poess, Tilmann Rabl, Michael Frank, Manuel Danisch

Proceedings of the Topics in Performance Evaluation, Measurement and Characterization, 2011

Parallel data generation for performance analysis of large, complex RDBMS.

Tilmann Rabl, Meikel Poess

Proceedings of the Fourth International Workshop on Testing Database Systems, 2011

A protocol for disaster data evacuation.

Tilmann Rabl, Florian Stegmaier, Mario Döller, The Thong Vang

Proceedings of the ACM SIGCOMM 2011 Conference on Applications, 2011

Demonstration des Parallel Data Generation Framework.

Tilmann Rabl, Hatem Mousselly Sergieh, Michael Frank, Harald Kosch

Proceedings of the Datenbanksysteme für Business, 2011

2010

A Data Generator for Cloud-Scale Benchmarking.

Tilmann Rabl, Michael Frank, Hatem Mousselly Sergieh, Harald Kosch

Proceedings of the Performance Evaluation, Measurement and Characterization of Complex Systems, 2010

Introducing Scalileo: a Java based scaling framework.

Tilmann Rabl, Christian Dellwo, Harald Kosch

Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking, 2010

2009

Design and Implementation of the Fast Send Protocol.

Tilmann Rabl, Christoph Koch, Günther Hölbling, Harald Kosch

J. Digit. Inf. Manag., 2009

Generating Shifting Workloads to Benchmark Adaptability in Relational Database Systems.

Tilmann Rabl, Andreas Lang, Thomas Hackl, Bernhard Sick, Harald Kosch

Proceedings of the Performance Evaluation and Benchmarking, 2009

2008

Interactive TV Services on Mobile Devices.

Günther Hölbling, Tilmann Rabl, David Coquil, Harald Kosch

IEEE Multim., 2008

Dynamic allocation in a self-scaling cluster database.

Tilmann Rabl, Marc Pfeffer, Harald Kosch

Concurr. Comput. Pract. Exp., 2008

2007

Intertainment.

Günther Hölbling, Tilmann Rabl, Harald Kosch

Proceedings of the 15th International Conference on Multimedia 2007, 2007

Fast Send Protocol - minimizing sending time in high-speed bulk data transfers.

Christoph Koch, Tilmann Rabl, Günther Hölbling, Harald Kosch

Proceedings of the Second IEEE International Conference on Digital Information Management (ICDIM), 2007