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2020 – today
- 2025
[c48]Nikolai Merkel, Daniel Stoll, Ruben Mayer, Hans-Arno Jacobsen:
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training. EDBT 2025: 171-184- 2024
- [j7]Jana Vatter
, Ruben Mayer, Hans-Arno Jacobsen:
The Evolution of Distributed Systems for Graph Neural Networks and Their Origin in Graph Processing and Deep Learning: A Survey. ACM Comput. Surv. 56(1): 6:1-6:37 (2024) - [j6]Alexander Erben, Ruben Mayer, Hans-Arno Jacobsen:
How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study. Proc. VLDB Endow. 17(6): 1214-1226 (2024) - [c47]Herbert Woisetschläger, Alexander Erben, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen:
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly. DEEM@SIGMOD 2024: 39-50 - [c46]Herbert Woisetschläger, Alexander Erben, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen:
A Survey on Efficient Federated Learning Methods for Foundation Model Training. IJCAI 2024: 8317-8325 - [c45]Manuel Weber, Farzan Banihashemi, Davor Stjelja, Peter Mandl, Ruben Mayer, Hans-Arno Jacobsen:
Coddora: CO2-Based Occupancy Detection Model Trained via Domain Randomization. IJCNN 2024: 1-8 - [c44]Herbert Woisetschläger, Alexander Erben, Ruben Mayer, Shiqiang Wang, Hans-Arno Jacobsen:
FLEdge: Benchmarking Federated Learning Applications in Edge Computing Systems. Middleware 2024: 88-102 - [c43]Barbara Hoffmann, Jana Vatter, Ruben Mayer:
Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act. VLDB Workshops 2024 - [c42]Ruben Mayer:
Benefits and Challenges of Decentralization in Data Systems: Opportunities for Data Management Research. VLDB Workshops 2024 - [c41]Jana Vatter, Maurice L. Rochau, Ruben Mayer, Hans-Arno Jacobsen:
Size Does (Not) Matter? Sparsification and Graph Neural Network Sampling for Large-scale Graphs. VLDB Workshops 2024 - [i42]Herbert Woisetschläger, Alexander Isenko, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen:
A Survey on Efficient Federated Learning Methods for Foundation Model Training. CoRR abs/2401.04472 (2024) - [i41]Jana Vatter, Ruben Mayer, Hans-Arno Jacobsen, Horst Samulowitz, Michael Katz:
Choosing a Classical Planner with Graph Neural Networks. CoRR abs/2402.04874 (2024) - [i40]Herbert Woisetschläger, Alexander Erben, Bill Marino, Shiqiang Wang, Nicholas D. Lane, Ruben Mayer, Hans-Arno Jacobsen:
Federated Learning Priorities Under the European Union Artificial Intelligence Act. CoRR abs/2402.05968 (2024) - [i39]René Schwermer, Ruben Mayer, Hans-Arno Jacobsen:
Federated Computing - Survey on Building Blocks, Extensions and Systems. CoRR abs/2404.02779 (2024) - [i38]Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen:
Should my Blockchain Learn to Drive? A Study of Hyperledger Fabric. CoRR abs/2406.06318 (2024) - [i37]Herbert Woisetschläger, Simon Mertel, Christoph Krönke, Ruben Mayer, Hans-Arno Jacobsen:
Federated Learning and AI Regulation in the European Union: Who is Responsible? - An Interdisciplinary Analysis. CoRR abs/2407.08105 (2024) - [i36]Nikolai Merkel, Pierre Toussing, Ruben Mayer, Hans-Arno Jacobsen:
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study. CoRR abs/2409.11129 (2024) - [i35]Barbara Hoffmann, Jana Vatter, Ruben Mayer:
Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act. CoRR abs/2410.22120 (2024) - 2023
- [j5]Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen:
How To Optimize My Blockchain? A Multi-Level Recommendation Approach. Proc. ACM Manag. Data 1(1): 24:1-24:27 (2023) - [c40]Jawad Tahir, Raj Mandal, Olha Stefanova, Hans-Arno Jacobsen, Christoph Doblander, Ruben Mayer:
pTA: A Programmable Teaching Assistant for Lab Courses. DataEd@SIGMOD 2023 - [c39]René Schwermer, Ruben Mayer, Hans-Arno Jacobsen:
Energy vs Privacy: Estimating the Ecological Impact of Federated Learning. e-Energy 2023: 347-352 - [c38]Nikolai Merkel, Ruben Mayer, Tawkir Ahmed Fakir, Hans-Arno Jacobsen:
Partitioner Selection with EASE to Optimize Distributed Graph Processing. ICDE 2023: 2400-2414 - [c37]Jiahui Geng, Zongxiong Chen, Yuandou Wang, Herbert Woisetschlaeger, Sonja Schimmler, Ruben Mayer, Zhiming Zhao, Chunming Rong:
A Survey on Dataset Distillation: Approaches, Applications and Future Directions. IJCAI 2023: 6610-6618 - [c36]René Schwermer, Ekin-Alp Bicer, Pascal A. Schirmer, Ruben Mayer, Hans-Arno Jacobsen:
Federated Computing in Electric Vehicles to Predict Coolant Temperature. Middleware Industry 2023: 8-14 - [c35]Jeeta Ann Chacko, Nino Richter, Ruben Mayer, Hans-Arno Jacobsen:
Fabric-Visualizer: A Transaction Dependency Visualizer for Hyperledger Fabric. Middleware Demos/Posters/Doctoral Symposium 2023: 31-32 - [c34]Frank Christian Geyer, Hans-Arno Jacobsen, Ruben Mayer, Peter Mandl:
An End-to-End Performance Comparison of Seven Permissioned Blockchain Systems. Middleware 2023: 71-84 - [c33]Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen:
OrderlessChain: A CRDT-based BFT Coordination-free Blockchain Without Global Order of Transactions. Middleware 2023: 137-150 - [c32]Manuel Weber, Farzan Banihashemi, Peter Mandl, Hans-Arno Jacobsen, Ruben Mayer:
Overcoming Data Scarcity through Transfer Learning in CO2-Based Building Occupancy Detection. BuildSys 2023: 1-10 - [c31]Jeeta Ann Chacko, Ruben Mayer, Alan D. Fekete, Vincent Gramoli, Hans-Arno Jacobsen:
A Comprehensive Study on Benchmarking Permissioned Blockchains. TPCTC 2023: 18-33 - [i34]Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen:
How To Optimize My Blockchain? A Multi-Level Recommendation Approach. CoRR abs/2301.04719 (2023) - [i33]Nikolai Merkel, Ruben Mayer, Tawkir Ahmed Fakir, Hans-Arno Jacobsen:
Partitioner Selection with EASE to Optimize Distributed Graph Processing. CoRR abs/2304.04976 (2023) - [i32]Jiahui Geng, Zongxiong Chen, Yuandou Wang, Herbert Woisetschlaeger, Sonja Schimmler, Ruben Mayer, Zhiming Zhao, Chunming Rong:
A Survey on Dataset Distillation: Approaches, Applications and Future Directions. CoRR abs/2305.01975 (2023) - [i31]Zongxiong Chen, Jiahui Geng, Derui Zhu, Herbert Woisetschlaeger, Qing Li, Sonja Schimmler, Ruben Mayer, Chunming Rong:
A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness. CoRR abs/2305.03355 (2023) - [i30]Jana Vatter, Ruben Mayer, Hans-Arno Jacobsen:
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey. CoRR abs/2305.13854 (2023) - [i29]Alexander Isenko, Ruben Mayer, Hans-Arno Jacobsen:
How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study. CoRR abs/2306.03163 (2023) - [i28]Herbert Woisetschläger, Alexander Isenko, Ruben Mayer, Hans-Arno Jacobsen:
FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems. CoRR abs/2306.05172 (2023) - [i27]Nikolai Merkel, Daniel Stoll, Ruben Mayer, Hans-Arno Jacobsen:
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training. CoRR abs/2308.15602 (2023) - [i26]Herbert Woisetschläger, Alexander Isenko, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen:
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly. CoRR abs/2310.03150 (2023) - [i25]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, Jakub Lacki, Johannes Langguth, Xiaoye Sherry Li, Ruben Mayer, Johannes Meintrup, Yosuke Mizutani, François Pellegrini, Fabrizio Petrini, Frances A. Rosamond, Ilya Safro, Sebastian Schlag, Christian Schulz, Roohani Sharma, Darren Strash, Blair D. Sullivan, Bora Uçar, Albert-Jan Yzelman:
Open Problems in (Hyper)Graph Decomposition. CoRR abs/2310.11812 (2023) - [i24]Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen:
FabricCRDT: A Conflict-Free Replicated Datatypes Approach to Permissioned Blockchains. CoRR abs/2310.15988 (2023) - [i23]Frank Christian Geyer, Hans-Arno Jacobsen, Ruben Mayer, Peter Mandl:
An End-to-End Performance Comparison of Seven Permissioned Blockchain Systems. CoRR abs/2311.15433 (2023) - [i22]George Karypis, Christian Schulz, Darren Strash, Deepak Ajwani, Rob H. Bisseling, Katrin Casel, Ümit V. Çatalyürek, Cédric Chevalier, Florian Chudigiewitsch, Marcelo Fonseca Faraj, Michael R. Fellows, Lars Gottesbüren, Tobias Heuer, Kamer Kaya, Jakub Lacki, Johannes Langguth, Xiaoye Sherry Li, Ruben Mayer, Johannes Meintrup, Yosuke Mizutani, François Pellegrini, Fabrizio Petrini, Frances A. Rosamond, Ilya Safro, Sebastian Schlag, Roohani Sharma, Blair D. Sullivan, Bora Uçar, Albert-Jan Yzelman:
Recent Trends in Graph Decomposition (Dagstuhl Seminar 23331). Dagstuhl Reports 13(8): 1-45 (2023) - 2022
- [c30]Sebastian Frischbier, Jawad Tahir, Christoph Doblander, Arne Hormann, Ruben Mayer, Hans-Arno Jacobsen:
Detecting trading trends in financial tick data: the DEBS 2022 grand challenge. DEBS 2022: 132-138 - [c29]René Schwermer, Jonas Buchberger, Ruben Mayer, Hans-Arno Jacobsen:
Federated office plug-load identification for building management systems. e-Energy 2022: 114-126 - [c28]Ruben Mayer, Kamil Orujzade, Hans-Arno Jacobsen:
Out-of-Core Edge Partitioning at Linear Run-Time. ICDE 2022: 2629-2642 - [c27]Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen:
OrderlessChain: a CRDT-enabled blockchain without total global order of transactions: poster abstract. Middleware Demos/Posters 2022: 5-6 - [c26]Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen:
OrderlessFL: a CRDT-enabled permissioned blockchain for federated learning: poster abstract. Middleware Demos/Posters 2022: 7-8 - [c25]Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen:
OrderlessFile: a CRDT-enabled permissioned blockchain for file storage: poster abstract. Middleware Demos/Posters 2022: 15-16 - [c24]Alexander Isenko, Ruben Mayer, Jeffrey Jedele, Hans-Arno Jacobsen:
Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines. SIGMOD Conference 2022: 1825-1839 - [d2]Sebastian Frischbier, Jawad Tahir, Christoph Doblander, Arne Hormann, Ruben Mayer, Hans-Arno Jacobsen:
DEBS 2022 Grand Challenge Data Set: Trading Data. Zenodo, 2022
- [d1]Frank Christian Geyer, Hans-Arno Jacobsen, Ruben Mayer, Peter Mandl:
COCONUT - a fully automated blockchain benchmarking system. Zenodo, 2022 - [i21]Alexander Isenko, Ruben Mayer, Jeffrey Jedele, Hans-Arno Jacobsen:
Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines. CoRR abs/2202.08679 (2022) - [i20]Ruben Mayer, Kamil Orujzade, Hans-Arno Jacobsen:
Out-of-Core Edge Partitioning at Linear Run-Time. CoRR abs/2203.12721 (2022) - [i19]Sebastian Frischbier, Jawad Tahir, Christoph Doblander, Arne Hormann, Ruben Mayer, Hans-Arno Jacobsen:
The DEBS 2022 Grand Challenge: Detecting Trading Trends in Financial Tick Data. CoRR abs/2206.13237 (2022) - [i18]Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen:
OrderlessChain: Do Permissioned Blockchains Need Total Global Order of Transactions? CoRR abs/2210.01477 (2022) - 2021
- [j4]Ruben Mayer, Hans-Arno Jacobsen:
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques, and Tools. ACM Comput. Surv. 53(1): 3:1-3:37 (2021) - [c23]Jawad Tahir, Christoph Doblander, Ruben Mayer, Sebastian Frischbier, Hans-Arno Jacobsen:
The DEBS 2021 grand challenge: analyzing environmental impact of worldwide lockdowns. DEBS 2021: 136-141 - [c22]Murtaza Raza, Jawad Tahir, Christoph Doblander, Ruben Mayer, Hans-Arno Jacobsen:
Benchmarking Apache Kafka under network faults. Middleware Demos/Posters 2021: 5-7 - [c21]Rinita Roy, Ruben Mayer, Hans-Arno Jacobsen:
MDMS: Music Data Matching System for Query Variant Retrieval. ACM Multimedia 2021: 2762-2764 - [c20]Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen:
Why Do My Blockchain Transactions Fail?: A Study of Hyperledger Fabric. SIGMOD Conference 2021: 221-234 - [c19]Ruben Mayer, Hans-Arno Jacobsen:
Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints. SIGMOD Conference 2021: 1289-1302 - [i17]Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen:
Why Do My Blockchain Transactions Fail? A Study of Hyperledger Fabric (Extended version). CoRR abs/2103.04681 (2021) - [i16]Ruben Mayer, Hans-Arno Jacobsen:
Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints. CoRR abs/2103.12594 (2021) - 2020
- [c18]Vincenzo Gulisano, Daniel Jorde, Ruben Mayer, Hannaneh Najdataei, Dimitris Palyvos-Giannas:
The DEBS 2020 grand challenge. DEBS 2020: 183-186 - [i15]Ruben Mayer, Kamil Orujzade, Hans-Arno Jacobsen:
2PS: High-Quality Edge Partitioning with Two-Phase Streaming. CoRR abs/2001.07086 (2020)
2010 – 2019
- 2019
- [j3]Henriette Röger, Ruben Mayer:
A Comprehensive Survey on Parallelization and Elasticity in Stream Processing. ACM Comput. Surv. 52(2): 36:1-36:37 (2019) - [c17]Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen:
FabricCRDT: A Conflict-Free Replicated Datatypes Approach to Permissioned Blockchains. Middleware 2019: 110-122 - [i14]Henriette Röger, Ruben Mayer:
A Comprehensive Survey on Parallelization and Elasticity in Stream Processing. CoRR abs/1901.09716 (2019) - [i13]Ruben Mayer, Hans-Arno Jacobsen:
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools. CoRR abs/1903.11314 (2019) - 2018
- [b1]Ruben Mayer:
Window-based data parallelization in complex event processing. University of Stuttgart, Germany, 2018 - [j2]Christian Mayer, Muhammad Adnan Tariq, Ruben Mayer, Kurt Rothermel:
GrapH: Traffic-Aware Graph Processing. IEEE Trans. Parallel Distributed Syst. 29(6): 1289-1302 (2018) - [c16]Christian Mayer, Ruben Mayer, Sukanya Bhowmik, Lukas Epple, Kurt Rothermel:
HYPE: Massive Hypergraph Partitioning with Neighborhood Expansion. IEEE BigData 2018: 458-467 - [c15]Christian Mayer, Ruben Mayer, Jonas Grunert, Kurt Rothermel, Muhammad Adnan Tariq:
Q-graph: preserving query locality in multi-query graph processing. GRADES/NDA@SIGMOD/PODS 2018: 6:1-6:10 - [c14]Christian Mayer, Ruben Mayer, Muhammad Adnan Tariq, Heiko Geppert, Larissa Laich, Lukas Rieger, Kurt Rothermel:
ADWISE: Adaptive Window-Based Streaming Edge Partitioning for High-Speed Graph Processing. ICDCS 2018: 685-695 - [c13]Thomas Kohler, Ruben Mayer, Frank Dürr, Marius Maaß, Sukanya Bhowmik, Kurt Rothermel:
P4CEP: Towards In-Network Complex Event Processing. NetCompute@SIGCOMM 2018: 33-38 - [i12]Christian Mayer, Ruben Mayer, Jonas Grunert, Kurt Rothermel, Muhammad Adnan Tariq:
Q-Graph: Preserving Query Locality in Multi-Query Graph Processing. CoRR abs/1805.11900 (2018) - [i11]Thomas Kohler, Ruben Mayer, Frank Dürr, Marius Maaß, Sukanya Bhowmik, Kurt Rothermel:
P4CEP: Towards In-Network Complex Event Processing. CoRR abs/1806.04385 (2018) - [i10]Christian Mayer, Ruben Mayer, Sukanya Bhowmik, Lukas Epple, Kurt Rothermel:
HYPE: Massive Hypergraph Partitioning with Neighborhood Expansion. CoRR abs/1810.11319 (2018) - 2017
- [c12]Ruben Mayer, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran:
The Fog Makes Sense: Enabling Social Sensing Services with Limited Internet Connectivity. SocialSens@CPSWeek 2017: 61-66 - [c11]Ruben Mayer, Muhammad Adnan Tariq, Kurt Rothermel:
Minimizing Communication Overhead in Window-Based Parallel Complex Event Processing. DEBS 2017: 54-65 - [c10]Christian Mayer, Ruben Mayer, Majd Abdo:
StreamLearner: Distributed Incremental Machine Learning on Event Streams: Grand Challenge. DEBS 2017: 298-303 - [c9]Ruben Mayer, Leon Graser, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran:
EmuFog: Extensible and scalable emulation of large-scale fog computing infrastructures. FWC 2017: 1-6 - [c8]Ruben Mayer, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran:
FogStore: Toward a distributed data store for Fog computing. FWC 2017: 1-6 - [c7]Enrique Saurez, Harshit Gupta, Umakishore Ramachandran, Ruben Mayer:
Fog Computing for Improving User Application Interaction and Context Awareness: Demo Abstract. IoTDI 2017: 281-282 - [c6]Ruben Mayer, Ahmad Slo, Muhammad Adnan Tariq, Kurt Rothermel, Manuel Gräber, Umakishore Ramachandran:
SPECTRE: supporting consumption policies in window-based parallel complex event processing. Middleware 2017: 161-173 - [c5]Thomas Bach, Muhammad Adnan Tariq, Ruben Mayer, Kurt Rothermel:
Knowledge Is at the Edge! How to Search in Distributed Machine Learning Models. OTM Conferences (1) 2017: 410-428 - [i9]Ruben Mayer, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran:
The Fog Makes Sense: Enabling Social Sensing Services With Limited Internet Connectivity. CoRR abs/1703.01975 (2017) - [i8]Ruben Mayer, Muhammad Adnan Tariq, Kurt Rothermel:
Minimizing Communication Overhead in Window-Based Parallel Complex Event Processing. CoRR abs/1705.05824 (2017) - [i7]Christian Mayer, Ruben Mayer, Majd Abdo:
StreamLearner: Distributed Incremental Machine Learning on Event Streams: Grand Challenge. CoRR abs/1706.08420 (2017) - [i6]Ruben Mayer, Ahmad Slo, Muhammad Adnan Tariq, Kurt Rothermel, Manuel Gräber, Umakishore Ramachandran:
SPECTRE: Supporting Consumption Policies in Window-Based Parallel Complex Event Processing. CoRR abs/1709.01821 (2017) - [i5]Ruben Mayer, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran:
FogStore: Toward a Distributed Data Store for Fog Computing. CoRR abs/1709.07558 (2017) - [i4]Ruben Mayer, Leon Graser, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran:
EmuFog: Extensible and Scalable Emulation of Large-Scale Fog Computing Infrastructures. CoRR abs/1709.07563 (2017) - [i3]Thomas Bach, Muhammad Adnan Tariq, Ruben Mayer, Kurt Rothermel:
Knowledge is at the Edge! How to Search in Distributed Machine Learning Models. CoRR abs/1710.04890 (2017) - [i2]Ruben Mayer, Christian Mayer, Larissa Laich:
The TensorFlow Partitioning and Scheduling Problem: It's the Critical Path! CoRR abs/1711.01912 (2017) - [i1]Christian Mayer, Ruben Mayer, Muhammad Adnan Tariq, Heiko Geppert, Larissa Laich, Lukas Rieger, Kurt Rothermel:
ADWISE: Adaptive Window-based Streaming Edge Partitioning for High-Speed Graph Processing. CoRR abs/1712.08367 (2017) - 2016
- [c4]Ruben Mayer, Christian Mayer, Muhammad Adnan Tariq, Kurt Rothermel:
GraphCEP: real-time data analytics using parallel complex event and graph processing. DEBS 2016: 309-316 - 2015
- [j1]Ruben Mayer, Boris Koldehofe, Kurt Rothermel:
Predictable Low-Latency Event Detection With Parallel Complex Event Processing. IEEE Internet Things J. 2(4): 274-286 (2015) - 2014
- [c3]Ruben Mayer, Boris Koldehofe, Kurt Rothermel:
Meeting predictable buffer limits in the parallel execution of event processing operators. IEEE BigData 2014: 402-411 - [c2]Beate Ottenwälder, Ruben Mayer, Boris Koldehofe:
Distributed complex event processing for mobile large-scale video applications. Middleware (Posters & Demos) 2014: 5-6 - 2013
- [c1]Boris Koldehofe, Ruben Mayer, Umakishore Ramachandran, Kurt Rothermel, Marco Völz:
Rollback-recovery without checkpoints in distributed event processing systems. DEBS 2013: 27-38
Coauthor Index
Alexander Erben
aka: Alexander Isenko
aka: Alexander Isenko
[c48] [j7] [j6] [c47] [c46] [c45] [c44] [c41] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [j5] [c40] [c39] [c38] [c36] [c35] [c34] [c33] [c32] [c31] [i34] [i33] [i30] [i29] [i28] [i27] [i26] [i24] [i23] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [d2] [d1] [i21] [i20] [i19] [i18] [j4] [c23] [c22] [c21] [c20] [c19] [i17] [i16] [i15] [c17] [i13]
Herbert Woisetschlaeger
aka: Herbert Woisetschläger
aka: Herbert Woisetschläger
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