Rollback-recovery without checkpoints in distributed event processing systems. - Boris Koldehofe; Ruben Mayer; Umakishore Ramachandran; Kurt Rothermel; Marco Völz (DEBS, 2013)

Meeting predictable buffer limits in the parallel execution of event processing operators. - Ruben Mayer; Boris Koldehofe; Kurt Rothermel (IEEE BigData, 2014)

Distributed complex event processing for mobile large-scale video applications. - Beate Ottenwälder; Ruben Mayer; Boris Koldehofe (Middleware (Posters & Demos), 2014)

Predictable Low-Latency Event Detection With Parallel Complex Event Processing. - Ruben Mayer; Boris Koldehofe; Kurt Rothermel (IEEE Internet Things J., 2015)

GraphCEP: real-time data analytics using parallel complex event and graph processing. - Ruben Mayer; Christian Mayer; Muhammad Adnan Tariq; Kurt Rothermel (DEBS, 2016)

The Fog Makes Sense: Enabling Social Sensing Services with Limited Internet Connectivity. - Ruben Mayer; Harshit Gupta; Enrique Saurez; Umakishore Ramachandran (SocialSens@CPSWeek, 2017)

StreamLearner: Distributed Incremental Machine Learning on Event Streams: Grand Challenge. - Christian Mayer; Ruben Mayer; Majd Abdo (DEBS, 2017)

Minimizing Communication Overhead in Window-Based Parallel Complex Event Processing. - Ruben Mayer; Muhammad Adnan Tariq; Kurt Rothermel (DEBS, 2017)

EmuFog: Extensible and scalable emulation of large-scale fog computing infrastructures. - Ruben Mayer; Leon Graser; Harshit Gupta; Enrique Saurez; Umakishore Ramachandran (FWC, 2017)

FogStore: Toward a distributed data store for Fog computing. - Ruben Mayer; Harshit Gupta; Enrique Saurez; Umakishore Ramachandran (FWC, 2017)

Fog Computing for Improving User Application Interaction and Context Awareness: Demo Abstract. - Enrique Saurez; Harshit Gupta; Umakishore Ramachandran; Ruben Mayer (IoTDI, 2017)

SPECTRE: supporting consumption policies in window-based parallel complex event processing. - Ruben Mayer; Ahmad Slo; Muhammad Adnan Tariq; Kurt Rothermel; Manuel Gräber; Umakishore Ramachandran (Middleware, 2017)

Knowledge Is at the Edge! How to Search in Distributed Machine Learning Models. - Thomas Bach 003; Muhammad Adnan Tariq; Ruben Mayer; Kurt Rothermel (OTM Conferences (1), 2017)

The TensorFlow Partitioning and Scheduling Problem: It's the Critical Path! - Ruben Mayer; Christian Mayer; Larissa Laich (CoRR, 2017)

HYPE: Massive Hypergraph Partitioning with Neighborhood Expansion. - Christian Mayer; Ruben Mayer; Sukanya Bhowmik; Lukas Epple; Kurt Rothermel (IEEE BigData, 2018)

Q-graph: preserving query locality in multi-query graph processing. - Christian Mayer; Ruben Mayer; Jonas Grunert; Kurt Rothermel; Muhammad Adnan Tariq (GRADES/NDA@SIGMOD/PODS, 2018)

ADWISE: Adaptive Window-Based Streaming Edge Partitioning for High-Speed Graph Processing. - Christian Mayer; Ruben Mayer; Muhammad Adnan Tariq; Heiko Geppert; Larissa Laich; Lukas Rieger; Kurt Rothermel (ICDCS, 2018)

P4CEP: Towards In-Network Complex Event Processing. - Thomas Kohler 001; Ruben Mayer; Frank Dürr; Marius Maaß; Sukanya Bhowmik; Kurt Rothermel (NetCompute@SIGCOMM, 2018)

GrapH: Traffic-Aware Graph Processing. - Christian Mayer; Muhammad Adnan Tariq; Ruben Mayer; Kurt Rothermel (IEEE Trans. Parallel Distributed Syst., 2018)

Window-based data parallelization in complex event processing. - Ruben Mayer (2018)

FabricCRDT: A Conflict-Free Replicated Datatypes Approach to Permissioned Blockchains. - Pezhman Nasirifard; Ruben Mayer; Hans-Arno Jacobsen (Middleware, 2019)

A Comprehensive Survey on Parallelization and Elasticity in Stream Processing. - Henriette Röger; Ruben Mayer (ACM Comput. Surv., 2019)

The DEBS 2020 grand challenge. - Vincenzo Gulisano; Daniel Jorde; Ruben Mayer; Hannaneh Najdataei; Dimitris Palyvos-Giannas (DEBS, 2020)

2PS: High-Quality Edge Partitioning with Two-Phase Streaming. - Ruben Mayer; Kamil Orujzade; Hans-Arno Jacobsen (CoRR, 2020)

The DEBS 2021 grand challenge: analyzing environmental impact of worldwide lockdowns. - Jawad Tahir; Christoph Doblander; Ruben Mayer; Sebastian Frischbier; Hans-Arno Jacobsen (DEBS, 2021)

Benchmarking Apache Kafka under network faults. - Murtaza Raza; Jawad Tahir; Christoph Doblander; Ruben Mayer; Hans-Arno Jacobsen (Middleware Demos/Posters, 2021)

MDMS: Music Data Matching System for Query Variant Retrieval. - Rinita Roy; Ruben Mayer; Hans-Arno Jacobsen (ACM Multimedia, 2021)

Why Do My Blockchain Transactions Fail?: A Study of Hyperledger Fabric. - Jeeta Ann Chacko; Ruben Mayer; Hans-Arno Jacobsen (SIGMOD Conference, 2021)

Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints. - Ruben Mayer; Hans-Arno Jacobsen (SIGMOD Conference, 2021)

Why Do My Blockchain Transactions Fail? A Study of Hyperledger Fabric (Extended version). - Jeeta Ann Chacko; Ruben Mayer; Hans-Arno Jacobsen (CoRR, 2021)

Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques, and Tools. - Ruben Mayer; Hans-Arno Jacobsen (ACM Comput. Surv., 2021)

Detecting trading trends in financial tick data: the DEBS 2022 grand challenge. - Sebastian Frischbier; Jawad Tahir; Christoph Doblander; Arne Hormann; Ruben Mayer; Hans-Arno Jacobsen (DEBS, 2022)

Federated office plug-load identification for building management systems. - René Schwermer; Jonas Buchberger; Ruben Mayer; Hans-Arno Jacobsen (e-Energy, 2022)

Out-of-Core Edge Partitioning at Linear Run-Time. - Ruben Mayer; Kamil Orujzade; Hans-Arno Jacobsen (ICDE, 2022)

OrderlessChain: a CRDT-enabled blockchain without total global order of transactions: poster abstract. - Pezhman Nasirifard; Ruben Mayer; Hans-Arno Jacobsen (Middleware Demos/Posters, 2022)

OrderlessFL: a CRDT-enabled permissioned blockchain for federated learning: poster abstract. - Pezhman Nasirifard; Ruben Mayer; Hans-Arno Jacobsen (Middleware Demos/Posters, 2022)

OrderlessFile: a CRDT-enabled permissioned blockchain for file storage: poster abstract. - Pezhman Nasirifard; Ruben Mayer; Hans-Arno Jacobsen (Middleware Demos/Posters, 2022)

Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines. - Alexander Isenko; Ruben Mayer; Jeffrey Jedele; Hans-Arno Jacobsen (SIGMOD Conference, 2022)

The DEBS 2022 Grand Challenge: Detecting Trading Trends in Financial Tick Data. - Sebastian Frischbier; Jawad Tahir; Christoph Doblander; Arne Hormann; Ruben Mayer; Hans-Arno Jacobsen (CoRR, 2022)

OrderlessChain: Do Permissioned Blockchains Need Total Global Order of Transactions? - Pezhman Nasirifard; Ruben Mayer; Hans-Arno Jacobsen (CoRR, 2022)

DEBS 2022 Grand Challenge Data Set: Trading Data. - Sebastian Frischbier; Jawad Tahir; Christoph Doblander; Arne Hormann; Ruben Mayer; Hans-Arno Jacobsen (Zenodo, 2022)

COCONUT - a fully automated blockchain benchmarking system. - Frank Christian Geyer; Hans-Arno Jacobsen; Ruben Mayer; Peter Mandl 001 (Zenodo, 2022)

pTA: A Programmable Teaching Assistant for Lab Courses. - Jawad Tahir; Raj Mandal; Olha Stefanova; Hans-Arno Jacobsen; Christoph Doblander; Ruben Mayer (DataEd@SIGMOD, 2023)

Energy vs Privacy: Estimating the Ecological Impact of Federated Learning. - René Schwermer; Ruben Mayer; Hans-Arno Jacobsen (e-Energy, 2023)

Partitioner Selection with EASE to Optimize Distributed Graph Processing. - Nikolai Merkel; Ruben Mayer; Tawkir Ahmed Fakir; Hans-Arno Jacobsen (ICDE, 2023)

A Survey on Dataset Distillation: Approaches, Applications and Future Directions. - Jiahui Geng; Zongxiong Chen; Yuandou Wang; Herbert Woisetschlaeger; Sonja Schimmler; Ruben Mayer; Zhiming Zhao; Chunming Rong (IJCAI, 2023)

Fabric-Visualizer: A Transaction Dependency Visualizer for Hyperledger Fabric. - Jeeta Ann Chacko; Nino Richter; Ruben Mayer; Hans-Arno Jacobsen (Middleware Demos/Posters/Doctoral Symposium, 2023)

An End-to-End Performance Comparison of Seven Permissioned Blockchain Systems. - Frank Christian Geyer; Hans-Arno Jacobsen; Ruben Mayer; Peter Mandl 001 (Middleware, 2023)

OrderlessChain: A CRDT-based BFT Coordination-free Blockchain Without Global Order of Transactions. - Pezhman Nasirifard; Ruben Mayer; Hans-Arno Jacobsen (Middleware, 2023)

Federated Computing in Electric Vehicles to Predict Coolant Temperature. - René Schwermer; Ekin-Alp Bicer; Pascal A. Schirmer; Ruben Mayer; Hans-Arno Jacobsen (Middleware Industry, 2023)

Overcoming Data Scarcity through Transfer Learning in CO2-Based Building Occupancy Detection. - Manuel Weber; Farzan Banihashemi; Peter Mandl 001; Hans-Arno Jacobsen; Ruben Mayer (BuildSys, 2023)

A Comprehensive Study on Benchmarking Permissioned Blockchains. - Jeeta Ann Chacko; Ruben Mayer; Alan D. Fekete; Vincent Gramoli; Hans-Arno Jacobsen (TPCTC, 2023)

A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness. - Zongxiong Chen; Jiahui Geng; Derui Zhu; Herbert Woisetschlaeger; Qing Li 038; Sonja Schimmler; Ruben Mayer; Chunming Rong (CoRR, 2023)

FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems. - Herbert Woisetschläger; Alexander Isenko; Ruben Mayer; Hans-Arno Jacobsen (CoRR, 2023)

Open Problems in (Hyper)Graph Decomposition. - Deepak Ajwani; Rob H. Bisseling; Katrin Casel; Ümit V. Çatalyürek; Cédric Chevalier; Florian Chudigiewitsch; Marcelo Fonseca Faraj; Michael R. Fellows; Lars Gottesbüren; Tobias Heuer; George Karypis; Kamer Kaya; et al. (CoRR, 2023)

Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331). - George Karypis; Christian Schulz 003; Darren Strash; Deepak Ajwani; Rob H. Bisseling; Katrin Casel; Ümit V. Çatalyürek; Cédric Chevalier; Florian Chudigiewitsch; Marcelo Fonseca Faraj; Michael R. Fellows; Lars Gottesbüren; et al. (Dagstuhl Reports, 2023)

How To Optimize My Blockchain? A Multi-Level Recommendation Approach. - Jeeta Ann Chacko; Ruben Mayer; Hans-Arno Jacobsen (Proc. ACM Manag. Data, 2023)

Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly. - Herbert Woisetschläger; Alexander Erben; Shiqiang Wang 001; Ruben Mayer; Hans-Arno Jacobsen (DEEM@SIGMOD, 2024)

A Survey on Efficient Federated Learning Methods for Foundation Model Training. - Herbert Woisetschläger; Alexander Erben; Shiqiang Wang 001; Ruben Mayer; Hans-Arno Jacobsen (IJCAI, 2024)

Coddora: CO2-Based Occupancy Detection Model Trained via Domain Randomization. - Manuel Weber; Farzan Banihashemi; Davor Stjelja; Peter Mandl 001; Ruben Mayer; Hans-Arno Jacobsen (IJCNN, 2024)

FLEdge: Benchmarking Federated Learning Applications in Edge Computing Systems. - Herbert Woisetschläger; Alexander Erben; Ruben Mayer; Shiqiang Wang 001; Hans-Arno Jacobsen (Middleware, 2024)

Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act. - Barbara Hoffmann; Jana Vatter; Ruben Mayer (VLDB Workshops, 2024)

Benefits and Challenges of Decentralization in Data Systems: Opportunities for Data Management Research. - Ruben Mayer (VLDB Workshops, 2024)

Size Does (Not) Matter? Sparsification and Graph Neural Network Sampling for Large-scale Graphs. - Jana Vatter; Maurice L. Rochau; Ruben Mayer; Hans-Arno Jacobsen (VLDB Workshops, 2024)

Choosing a Classical Planner with Graph Neural Networks. - Jana Vatter; Ruben Mayer; Hans-Arno Jacobsen; Horst Samulowitz; Michael Katz 001 (CoRR, 2024)

Federated Learning Priorities Under the European Union Artificial Intelligence Act. - Herbert Woisetschläger; Alexander Erben; Bill Marino; Shiqiang Wang 001; Nicholas D. Lane; Ruben Mayer; Hans-Arno Jacobsen (CoRR, 2024)

Federated Computing - Survey on Building Blocks, Extensions and Systems. - René Schwermer; Ruben Mayer; Hans-Arno Jacobsen (CoRR, 2024)

Should my Blockchain Learn to Drive? A Study of Hyperledger Fabric. - Jeeta Ann Chacko; Ruben Mayer; Hans-Arno Jacobsen (CoRR, 2024)

Federated Learning and AI Regulation in the European Union: Who is Responsible? - An Interdisciplinary Analysis. - Herbert Woisetschläger; Simon Mertel; Christoph Krönke; Ruben Mayer; Hans-Arno Jacobsen (CoRR, 2024)

Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act. - Barbara Hoffmann; Jana Vatter; Ruben Mayer (CoRR, 2024)

The Evolution of Distributed Systems for Graph Neural Networks and Their Origin in Graph Processing and Deep Learning: A Survey. - Jana Vatter; Ruben Mayer; Hans-Arno Jacobsen (ACM Comput. Surv., 2024)

How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study. - Alexander Erben; Ruben Mayer; Hans-Arno Jacobsen (Proc. VLDB Endow., 2024)

Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study. - Nikolai Merkel; Pierre Toussing; Ruben Mayer; Hans-Arno Jacobsen (Proc. VLDB Endow., 2024)

How Reliable Are Streams? End-to-End Processing-Guarantee Validation and Performance Benchmarking of Stream Processing Systems. - Jawad Tahir; Ruben Mayer; Christoph Doblander; Hans-Arno Jacobsen (Proc. VLDB Endow., 2024)

The DEBS 2025 Grand Challenge: Real-Time Monitoring of Defects in Laser Powder Bed Fusion (L-PBF) Manufacturing. - Luca De Martini; Jawad Tahir; Alessandro Margara; Christoph Doblander; Sebastian Frischbier; Ruben Mayer; Hans-Arno Jacobsen (DEBS, 2025)

An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training. - Nikolai Merkel; Daniel Stoll; Ruben Mayer; Hans-Arno Jacobsen (EDBT, 2025)

WaveGAS: Waveform Relaxation for Scaling Graph Neural Networks. - Jana Vatter; Mykhaylo Zayats; Marcos Martínez Galindo; Vanessa López; Ruben Mayer; Hans-Arno Jacobsen; Hoang Thanh Lam (CoRR, 2025)

Comparing Methods for Bias Mitigation in Graph Neural Networks. - Barbara Hoffmann; Ruben Mayer (CoRR, 2025)

Position: Federated Foundation Language Model Post-Training Should Focus on Open-Source Models. - Nikita Agrawal; Simon Mertel; Ruben Mayer (CoRR, 2025)