Fast Send Protocol - minimizing sending time in high-speed bulk data transfers. - Christoph Koch 004; Tilmann Rabl; Günther Hölbling; Harald Kosch (ICDIM, 2007)

Intertainment. - Günther Hölbling; Tilmann Rabl; Harald Kosch (ACM Multimedia, 2007)

Dynamic allocation in a self-scaling cluster database. - Tilmann Rabl; Marc Pfeffer; Harald Kosch (Concurr. Comput. Pract. Exp., 2008)

Interactive TV Services on Mobile Devices. - Günther Hölbling; Tilmann Rabl; David Coquil; Harald Kosch (IEEE Multim., 2008)

Generating Shifting Workloads to Benchmark Adaptability in Relational Database Systems. - Tilmann Rabl; Andreas Lang; Thomas Hackl; Bernhard Sick; Harald Kosch (TPCTC, 2009)

Design and Implementation of the Fast Send Protocol. - Tilmann Rabl; Christoph Koch 004; Günther Hölbling; Harald Kosch (J. Digit. Inf. Manag., 2009)

Introducing Scalileo: a Java based scaling framework. - Tilmann Rabl; Christian Dellwo; Harald Kosch (e-Energy, 2010)

A Data Generator for Cloud-Scale Benchmarking. - Tilmann Rabl; Michael Frank 001; Hatem Mousselly Sergieh; Harald Kosch (TPCTC, 2010)

Demonstration des Parallel Data Generation Framework. - Tilmann Rabl; Hatem Mousselly Sergieh; Michael Frank 001; Harald Kosch (BTW, 2011)

A protocol for disaster data evacuation. - Tilmann Rabl; Florian Stegmaier; Mario Döller; The Thong Vang (SIGCOMM, 2011)

Parallel data generation for performance analysis of large, complex RDBMS. - Tilmann Rabl; Meikel Poess (DBTest, 2011)

A PDGF Implementation for TPC-H. - Meikel Poess; Tilmann Rabl; Michael Frank 001; Manuel Danisch (TPCTC, 2011)

Efficiency in Cluster Database Systems - Dynamic and Workload-Aware Scaling and Allocation. - Tilmann Rabl (2011)

Solving manufacturing equipment monitoring through efficient complex event processing: DEBS grand challenge. - Tilmann Rabl; Kaiwen Zhang 001; Mohammad Sadoghi; Navneet Kumar Pandey; Aakash Nigam; Chen Wang; Hans-Arno Jacobsen (DEBS, 2012)

Setting the Direction for Big Data Benchmark Standards. - Chaitanya K. Baru; Milind A. Bhandarkar; Raghunath Othayoth Nambiar; Meikel Poess; Tilmann Rabl (TPCTC, 2012)

Processing Big Events with Showers and Streams. - Christoph Doblander; Tilmann Rabl; Hans-Arno Jacobsen (WBDB, 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 (WBDB, 2012)

Big Data Generation. - Tilmann Rabl; Hans-Arno Jacobsen (WBDB, 2012)

Efficient update data generation for DBMS benchmarks. - Michael Frank 001; Meikel Poess; Tilmann Rabl (ICPE, 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)

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)

Grand challenge: the bluebay soccer monitoring engine. - Hans-Arno Jacobsen; Kianoosh Mokhtarian; Tilmann Rabl; Mohammad Sadoghi; Reza Sherafat Kazemzadeh; Young Yoon; Kaiwen Zhang 001 (DEBS, 2013)

Poster: MADES - a multi-layered, adaptive, distributed event store. - Tilmann Rabl; Mohammad Sadoghi; Kaiwen Zhang 001; Hans-Arno Jacobsen (DEBS, 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 (SIGMOD Conference, 2013)

Rapid development of data generators using meta generators in PDGF. - Tilmann Rabl; Meikel Poess; Manuel Danisch; Hans-Arno Jacobsen (DBTest, 2013)

A BigBench Implementation in the Hadoop Ecosystem. - Badrul Chowdhury; Tilmann Rabl; Pooya Saadatpanah; Jiang Du 001; Hans-Arno Jacobsen (WBDB, 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 (ICPE, 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)

Optimizing key-value stores for hybrid storage architectures. - Prashanth Menon; Tilmann Rabl; Mohammad Sadoghi; Hans-Arno Jacobsen (CASCON, 2014)

Materialized views in Cassandra. - Tilmann Rabl; Hans-Arno Jacobsen (CASCON, 2014)

CaSSanDra: An SSD boosted key-value store. - Prashanth Menon; Tilmann Rabl; Mohammad Sadoghi; Hans-Arno Jacobsen (ICDE, 2014)

PSBench: a benchmark for content- and topic-based publish/subscribe systems. - Kaiwen Zhang 001; Tilmann Rabl; Yi Ping Sun; Rushab Kumar; Nayeem Zen; Hans-Arno Jacobsen (Middleware (Posters & Demos), 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 001; Bhaskar Gowda; Hans-Arno Jacobsen; Huang Jie; Dileep Kumar; Raghunath Othayoth Nambiar; Meikel Poess; Francois Raab; et al. (TPCTC, 2014)

Towards a Complete BigBench Implementation. - Tilmann Rabl; Michael Frank 001; Manuel Danisch; Bhaskar Gowda; Hans-Arno Jacobsen (WBDB, 2014)

DualTable: A Hybrid Storage Model for Update Optimization in Hive. - Songlin Hu 001; Wantao Liu; Tilmann Rabl; Shuo Huang; Ying Liang; Zheng Xiao; Hans-Arno Jacobsen; Xubin Pei (CoRR, 2014)

DGFIndex for Smart Grid: Enhancing Hive with a Cost-Effective Multidimensional Range Index. - Yue Liu 006; Songlin Hu 001; Tilmann Rabl; Wantao Liu; Hans-Arno Jacobsen; Kaifeng Wu; Jian Chen (CoRR, 2014)

DGFIndex for Smart Grid: Enhancing Hive with a Cost-Effective Multidimensional Range Index. - Yue Liu 006; Songlin Hu 001; Tilmann Rabl; Wantao Liu; Hans-Arno Jacobsen; Kaifeng Wu; Jian Chen; Jintao Li 001 (Proc. VLDB Endow., 2014)

TPC-DI: The First Industry Benchmark for Data Integration. - Meikel Poess; Tilmann Rabl; Hans-Arno Jacobsen; Brian Caufield (Proc. VLDB Endow., 2014)

High performance stream queries in scala. - Dantong Song; Kaiwen Zhang 001; Tilmann Rabl; Prashanth Menon; Hans-Arno Jacobsen (DEBS, 2015)

DualTable: A hybrid storage model for update optimization in Hive. - Songlin Hu 001; Wantao Liu; Tilmann Rabl; Shuo Huang; Ying Liang; Zheng Xiao; Hans-Arno Jacobsen; Xubin Pei; Jiye Wang (ICDE, 2015)

Die Apache Flink Plattform zur parallelen Analyse von Datenströmen und Stapeldaten. - Jonas Traub; Tilmann Rabl; Fabian Hueske; Till Rohrmann; Volker Markl (LWA, 2015)

Just can't get enough: Synthesizing Big Data. - Tilmann Rabl; Manuel Danisch; Michael Frank 001; Sebastian Schindler; Hans-Arno Jacobsen (SIGMOD Conference, 2015)

The Vision of BigBench 2.0. - Tilmann Rabl; Michael Frank 001; Manuel Danisch; Hans-Arno Jacobsen; Bhaskar Gowda (DanaC@SIGMOD, 2015)

Big Data Benchmark Compendium. - Todor Ivanov; Tilmann Rabl; Meikel Poess; Anna Queralt; John Poelman; Nicolás Poggi; Jeffrey Buell (TPCTC, 2015)

Enhancing Data Generation in TPCx-HS with a Non-uniform Random Distribution. - Raghunath Nambiar; Tilmann Rabl; Karthik Kulkarni; Michael Frank 001 (TPCTC, 2015)

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 (TPCTC, 2016)

Towards Streamlined Big Data Analytics. - András A. Benczúr; Róbert Pálovics; Márton Balassi; Volker Markl; Tilmann Rabl; Juan Soto 001; Björn Hovstadius; Jim Dowling; Seif Haridi (ERCIM News, 2016)

Apache Flink in current research. - Tilmann Rabl; Jonas Traub; Asterios Katsifodimos; Volker Markl (it Inf. Technol., 2016)

Gilbert: Declarative Sparse Linear Algebra on Massively Parallel Dataflow Systems. - Till Rohrmann; Sebastian Schelter; Tilmann Rabl; Volker Markl (BTW, 2017)

Analysis of TPC-DS: the first standard benchmark for SQL-based big data systems. - Meikel Poess; Tilmann Rabl; Hans-Arno Jacobsen (SoCC, 2017)

Optimized on-demand data streaming from sensor nodes. - Jonas Traub; Sebastian Breß; Tilmann Rabl; Asterios Katsifodimos; Volker Markl (SoCC, 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 (EDBT/ICDT Workshops, 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 (EDBT/ICDT Workshops, 2017)

I2: Interactive Real-Time Visualization for Streaming Data. - Jonas Traub; Nikolaas Steenbergen; Philipp M. Grulich; Tilmann Rabl; Volker Markl (EDBT, 2017)

Benchmarking Data Flow Systems for Scalable Machine Learning. - Christoph Boden; Andrea Spina; Tilmann Rabl; Volker Markl (BeyondMR@SIGMOD, 2017)

Query Centric Partitioning and Allocation for Partially Replicated Database Systems. - Tilmann Rabl; Hans-Arno Jacobsen (SIGMOD Conference, 2017)

PEEL: A Framework for Benchmarking Distributed Systems and Algorithms. - Christoph Boden; Alexander Alexandrov 001; Andreas Kunft; Tilmann Rabl; Volker Markl (TPCTC, 2017)

Generating Custom Code for Efficient Query Execution on Heterogeneous Processors. - Sebastian Breß; Bastian Köcher; Henning Funke; Tilmann Rabl; Volker Markl (CoRR, 2017)

Big Stream Processing Systems (Dagstuhl Seminar 17441). - Tilmann Rabl; Sherif Sakr; Martin Hirzel (Dagstuhl Reports, 2017)

BlockJoin: Efficient Matrix Partitioning Through Joins. - Andreas Kunft; Asterios Katsifodimos; Sebastian Schelter; Tilmann Rabl; Volker Markl (Proc. VLDB Endow., 2017)

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 (SoCC, 2018)

Efficient k-means on GPUs. - Clemens Lutz; Sebastian Breß; Tilmann Rabl; Steffen Zeuch; Volker Markl (DaMoN, 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 (EDBT, 2018)

Benchmarking Distributed Stream Data Processing Systems. - Jeyhun Karimov; Tilmann Rabl; Asterios Katsifodimos; Roman Samarev; Henri Heiskanen; Volker Markl (ICDE, 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 (ICDE, 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 (ICDE, 2018)

Benchmarking Distributed Data Processing Systems for Machine Learning Workloads. - Christoph Boden; Tilmann Rabl; Sebastian Schelter; Volker Markl (TPCTC, 2018)

PolyBench: The First Benchmark for Polystores. - Jeyhun Karimov; Tilmann Rabl; Volker Markl (TPCTC, 2018)

Methods for Quantifying Energy Consumption in TPC-H. - Meikel Poess; Da Qi Ren; Tilmann Rabl; Hans-Arno Jacobsen (ICPE, 2018)

Benchmarking Distributed Stream Processing Engines. - Jeyhun Karimov; Tilmann Rabl; Asterios Katsifodimos; Roman Samarev; Henri Heiskanen; Volker Markl (CoRR, 2018)

Labyrinth: Compiling Imperative Control Flow to Parallel Dataflows. - Gábor E. Gévay; Tilmann Rabl; Sebastian Breß; Lorand Madai-Tahy; Volker Markl (CoRR, 2018)

Efficient and Scalable k‑Means on GPUs. - Clemens Lutz; Sebastian Breß; Tilmann Rabl; Steffen Zeuch; Volker Markl (Datenbank-Spektrum, 2018)

Data Management Systems Research at TU Berlin. - Ziawasch Abedjan; Sebastian B. Simonsen; Volker Markl; Tilmann Rabl; Juan Soto 001 (SIGMOD Rec., 2018)

Dagstuhl Seminar on Big Stream Processing. - Sherif Sakr; Tilmann Rabl; Martin Hirzel; Paris Carbone; Martin Strohbach (SIGMOD Rec., 2018)

Performance Evaluation and Optimization of Multi-Dimensional Indexes in Hive. - Yue Liu 006; Shuai Guo; Songlin Hu 001; Tilmann Rabl; Hans-Arno Jacobsen; Jintao Li 001; Jiye Wang (IEEE Trans. Serv. Comput., 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)

On-the-fly Reconfiguration of Query Plans for Stateful Stream Processing Engines. - Adrian Bartnik; Bonaventura Del Monte; Tilmann Rabl; Volker Markl (BTW, 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 (BTW (Workshops), 2019)

Explanation of Air Pollution Using External Data Sources. - Mahdi Esmailoghli; Sergey Redyuk; Ricardo Martinez; Ziawasch Abedjan; Tilmann Rabl; Volker Markl (BTW (Workshops), 2019)

Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs. - Viktor Rosenfeld; Sebastian Breß; Steffen Zeuch; Tilmann Rabl; Volker Markl (DaMoN, 2019)

Generating Reproducible Out-of-Order Data Streams. - Philipp M. Grulich; Jonas Traub; Sebastian Breß; Asterios Katsifodimos; Volker Markl; Tilmann Rabl (DEBS, 2019)

Continuous Deployment of Machine Learning Pipelines. - Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Tilmann Rabl; Volker Markl (EDBT, 2019)

Efficient Window Aggregation with General Stream Slicing. - Jonas Traub; Philipp M. Grulich; Alejandro Rodriguez Cuellar; Sebastian Breß; Asterios Katsifodimos; Tilmann Rabl; Volker Markl (EDBT, 2019)

Muses: Distributed Data Migration System for Polystores. - Abdulrahman Kaitoua; Tilmann Rabl; Asterios Katsifodimos; Volker Markl (ICDE, 2019)

AStream: Ad-hoc Shared Stream Processing. - Jeyhun Karimov; Tilmann Rabl; Volker Markl (SIGMOD Conference, 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 (TPCTC, 2019)

SENSE: Scalable Data Acquisition from Distributed Sensors with Guaranteed Time Coherence. - Jonas Traub; Julius Hülsmann; Sebastian Breß; Tilmann Rabl; Volker Markl (CoRR, 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; et al. (Datenbank-Spektrum, 2019)

AJoin: Ad-hoc Stream Joins at Scale. - Jeyhun Karimov; Tilmann Rabl; 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)

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)

Definition of Data Streams. - Alessandro Margara; Tilmann Rabl (Encyclopedia of Big Data Technologies, 2019)

Incremental stream query analytics. - Pedro Silva 011; Wang Yue; Tilmann Rabl (DEBS, 2020)

Disco: Efficient Distributed Window Aggregation. - Lawrence Benson; Philipp M. Grulich; Steffen Zeuch; Volker Markl; Tilmann Rabl (EDBT, 2020)

Optimizing Machine Learning Workloads in Collaborative Environments. - Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Ziawasch Abedjan; Tilmann Rabl; Volker Markl (SIGMOD Conference, 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 (SIGMOD Conference, 2020)

Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects. - Clemens Lutz; Sebastian Breß; Steffen Zeuch; Tilmann Rabl; Volker Markl (SIGMOD Conference, 2020)

Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines. - Bonaventura Del Monte; Steffen Zeuch; Tilmann Rabl; Volker Markl (SIGMOD Conference, 2020)

How Fast Can We Insert? A Performance Study of Apache Kafka. - Guenter Hesse; Christoph Matthies; Tilmann Rabl; Matthias Uflacker (CoRR, 2020)

A distributed data exchange engine for polystores. - Abdulrahman Kaitoua; Tilmann Rabl; Volker Markl (it Inf. Technol., 2020)

Quantifying TPC-H Choke Points and Their Optimizations. - Markus Dreseler; Martin Boissier 001; Tilmann Rabl; Matthias Uflacker (Proc. VLDB Endow., 2020)

Advice from SIGMOD/PODS 2020. - David Maier 001; Rachel Pottinger; AnHai Doan; Eduard C. Dragut; Bill Howe; Joanne Lateulere; John Lateulere; Mostafa Milani; Tilmann Rabl; Dan Suciu; Yufei Tao 001; Wang-Chiew Tan; et al. (SIGMOD Rec., 2020)

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 (DaMoN, 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 (ICDE, 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 (ICDE, 2021)

Scale-down experiments on TPCx-HS. - Maximilian Böther; Tilmann Rabl (BiDEDE@SIGMOD, 2021)

Maximizing Persistent Memory Bandwidth Utilization for OLAP Workloads. - Björn Daase; Lars Jonas Bollmeier; Lawrence Benson; Tilmann Rabl (SIGMOD Conference, 2021)

A Survey of Big Data, High Performance Computing, and Machine Learning Benchmarks. - Nina Ihde; Paula Marten; Ahmed Eleliemy; Gabrielle Poerwawinata; Pedro Silva 011; Ilin Tolovski; Florina M. Ciorba; Tilmann Rabl (TPCTC, 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 001; Volker Markl; et al. (Datenbank-Spektrum, 2021)

Viper: An Efficient Hybrid PMem-DRAM Key-Value Store. - Lawrence Benson; Hendrik Makait; Tilmann Rabl (Proc. VLDB Endow., 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)

Darwin: Scale-In Stream Processing. - Lawrence Benson; Tilmann Rabl (CIDR, 2022)

DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines. - Patrick Damme; Marius Birkenbach; Constantinos Bitsakos; Matthias Boehm 001; Philippe Bonnet; Florina M. Ciorba; Mark Dokter; Pawel Dowgiallo; Ahmed Eleliemy; Christian Faerber; Georgios I. Goumas; Dirk Habich; et al. (CIDR, 2022)

Evaluating In-Memory Hash Joins on Persistent Memory. - Tobias Maltenberger; Till Lehmann; Lawrence Benson; Tilmann Rabl (EDBT, 2022)

Efficiently Managing Deep Learning Models in a Distributed Environment. - Nils Strassenburg; Ilin Tolovski; Tilmann Rabl (EDBT, 2022)

Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines [Abstract]. - Bonaventura Del Monte; Steffen Zeuch; Tilmann Rabl; Volker Markl (LWDA, 2022)

Materialization and Reuse Optimizations for Production Data Science Pipelines. - Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Zoi Kaoudi; Tilmann Rabl; Volker Markl (SIGMOD Conference, 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 (SIGMOD Conference, 2022)

Evaluating Multi-GPU Sorting with Modern Interconnects. - Tobias Maltenberger; Ivan Ilic; Ilin Tolovski; Tilmann Rabl (SIGMOD Conference, 2022)

Rethinking Stateful Stream Processing with RDMA. - Bonaventura Del Monte; Steffen Zeuch; Tilmann Rabl; Volker Markl (SIGMOD Conference, 2022)

PerMA-Bench: Benchmarking Persistent Memory Access. - Lawrence Benson; Leon Papke; Tilmann Rabl (Proc. VLDB Endow., 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)

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)

Reviving the Workshop Series on Testing Database Systems - DBTest. - Carsten Binnig; Alexander Böhm 002; Tilmann Rabl; Pinar Tözün (Datenbank-Spektrum, 2022)

Editorial. - Alexander Böhm 002; Carsten Binnig; Tilmann Rabl; Theo Härder (Datenbank-Spektrum, 2022)

Reminiscences on Influential Papers. - Tilmann Rabl (SIGMOD Rec., 2022)

What We Can Learn from Persistent Memory for CXL. - Lawrence Benson; Marcel Weisgut; Tilmann Rabl (BTW, 2023)

RMG Sort: Radix-Partitioning-Based Multi-GPU Sorting. - Ivan Ilic; Ilin Tolovski; Tilmann Rabl (BTW, 2023)

Efficient Multi-Model Management. - Nils Strassenburg; Dominic Kupfer; Julia Kowal; Tilmann Rabl (EDBT, 2023)

Desis: Efficient Window Aggregation in Decentralized Networks. - Wang Yue; Lawrence Benson; Tilmann Rabl (EDBT, 2023)

Evaluating SIMD Compiler-Intrinsics for Database Systems. - Lawrence Benson; Richard Ebeling; Tilmann Rabl (VLDB Workshops, 2023)

BabelMR: A Polyglot Framework for Serverless MapReduce. - Fabian Mahling; Paul Rößler; Thomas Bodner 001; Tilmann Rabl (VLDB Workshops, 2023)

Analyzing Vectorized Hash Tables Across CPU Architectures. - Maximilian Böther; Lawrence Benson; Ana Klimovic; Tilmann Rabl (Proc. VLDB Endow., 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)

Erratum to: Reviving the Workshop Series on Testing Database Systems - DBTest. - Alexander Böhm 002; Carsten Binnig; Tilmann Rabl; Theo Härder (Datenbank-Spektrum, 2023)

Surprise Benchmarking: The Why, What, and How. - Lawrence Benson; Carsten Binnig; Jan-Micha Bodensohn; Federico Lorenzi; Jigao Luo; Danica Porobic; Tilmann Rabl; Anupam Sanghi; Russell Sears; Pinar Tözün; Tobias Ziegler 001 (DBTest@SIGMOD, 2024)

Deco: Fast and Accurate Decentralized Aggregation of Count-Based Windows in Large-Scale IoT Applications. - Wang Yue; Rafael Moczalla; Manisha Luthra; Tilmann Rabl (EDBT, 2024)

A Three-Tier Buffer Manager Integrating CXL Device Memory for Database Systems. - Niklas Riekenbrauck; Marcel Weisgut; Daniel Lindner; Tilmann Rabl (ICDEW, 2024)

A Survey of Stream Processing System Benchmarks. - Wang Yue; Martin Boissier 001; Tilmann Rabl (TPCTC, 2024)

Ghostwriter: a Distributed Message Broker on RDMA and NVM. - Hendrik Makait; Bonaventura Del Monte; Tilmann Rabl (VLDB Workshops, 2024)

Addressing Data Management Challenges for Interoperable Data Science. - Ilin Tolovski; Tilmann Rabl (VLDB Workshops, 2024)

InferDB: In-Database Machine Learning Inference Using Indexes. - Ricardo Salazar-Díaz; Boris Glavic; Tilmann Rabl (Proc. VLDB Endow., 2024)

A Demonstration of Skyrise: A Serverless Query Processor. - Thomas Bodner 001; Tilmann Rabl (BTW, 2025)

Compression in Main Memory Database Systems: Cost and Performance Trade-Offs of Workload-Driven Data Encoding. - Martin Boissier 001; Marcel Weisgut; Tilmann Rabl (BTW, 2025)

Poster: Offset-Value Coding using SIMD Intrinsics. - Florian Schmeller; Tilmann Rabl; Goetz Graefe (BTW Workshops, 2025)

Fetch Me If You Can: Evaluating CPU Cache Prefetching and Its Reliability on High Latency Memory. - Fabian Mahling; Marcel Weisgut; Tilmann Rabl (DaMoN, 2025)

PQ Bench: Benchmarking Pruning and Quantization Techniques. - Jonas Schulze; Nils Strassenburg; Tilmann Rabl (DEEM@SIGMOD, 2025)

An Interactive Analysis of Serverless Cloud Infrastructure. - Thomas Bodner 001; Tilmann Rabl (EDBT, 2025)

An Empirical Evaluation of Serverless Cloud Infrastructure for Large-Scale Data Processing. - Thomas Bodner 001; Theo Radig; David Justen; Daniel Ritter 001; Tilmann Rabl (EDBT, 2025)

Dema: Efficient Decentralized Aggregation for Non-Decomposable Quantile Functions. - Wang Yue; Martin Boissier 001; Manisha Luthra; Tilmann Rabl (EDBT, 2025)

Towards Memory Disaggregation via NVLink C2C: Benchmarking CPU-Requested GPU Memory Access. - Felix Werner; Marcel Weisgut; Tilmann Rabl (HCDS, 2025)

Skyrise: Exploiting Serverless Cloud Infrastructure for Elastic Data Processing. - Thomas Bodner 001; Daniel Ritter 001; Martin Boissier 001; Tilmann Rabl (Datenbank-Spektrum, 2025)

Alsatian: Optimizing Model Search for Deep Transfer Learning. - Nils Strassenburg; Boris Glavic; Tilmann Rabl (Proc. ACM Manag. Data, 2025)