Publications
2023
Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen: How To Optimize My Blockchain? A Multi-Level Recommendation Approach. In: Proceedings of the ACM on Management of Data, 1 (2023). - .
doi:10.1145/3588704
Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen: How To Optimize My Blockchain? A Multi-Level Recommendation Approach.. - arXiv, 2023. -
doi:10.48550/arXiv.2301.04719
Nikolai Merkel, Ruben Mayer, Tawkir Ahmed Fakir, Hans-Arno Jacobsen: Partitioner Selection with EASE to Optimize Distributed Graph Processing. In: 2023 IEEE 39th International Conference on Data Engineering (ICDE). - Piscataway, NJ : IEEE, 2023. - S. 2400-2414.
doi:10.1109/ICDE55515.2023.00185
2022
Ruben Mayer, Kamil Orujzade, Hans-Arno Jacobsen: Out-of-Core Edge Partitioning at Linear Run-Time. In: 2022 IEEE 38th International Conference on Data Engineering. - Piscataway, NJ : IEEE, 2022. - S. 2629-2642.
doi:10.1109/ICDE53745.2022.00242
Alexander Isenko, Ruben Mayer, Jeffrey Jedele, Hans-Arno Jacobsen: Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines. In: Proceedings of the 2022 International Conference on Management of Data. - New York : Association for Computing Machinery, 2022. - S. 1825-1839.
doi:10.1145/3514221.3517848
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. In: DEBS '22 : Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems. - New York : Association for Computing Machinery, 2022. - S. 132-138.
doi:10.1145/3524860.3539645
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. In: Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems. - New York : Association for Computing Machinery, 2022. - S. 132-138.
doi:10.1145/3524860.3539645
René Schwermer, Jonas Buchberger, Ruben Mayer, Hans-Arno Jacobsen: Federated office plug-load identification for building management systems. In: Proceedings of the 2022 the Thirteenth ACM International Conference on Future Energy Systems. - New York : Association for Computing Machinery, 2022. - S. 114-126.
doi:10.1145/3538637.3538845
Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen: OrderlessChain : a CRDT-enabled blockchain without total global order of transactions. In: Proceedings of the 23rd International Middleware Conference Demos and Posters. - New York : Association for Computing Machinery, 2022. - S. 5-6.
doi:10.1145/3565386.3565486
Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen: OrderlessChain : Do Permissioned Blockchains Need Total Global Order of Transactions?.. - arXiv, 2022. -
doi:10.48550/arXiv.2210.01477
Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen: OrderlessFile : a CRDT-enabled permissioned blockchain for file storage. In: Proceedings of the 23rd International Middleware Conference Demos and Posters. - New York : Association for Computing Machinery, 2022. - S. 15-16.
doi:10.1145/3565386.3565491
Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen: OrderlessFL : a CRDT-enabled permissioned blockchain for federated learning. In: Proceedings of the 23rd International Middleware Conference Demos and Posters. - New York : Association for Computing Machinery, 2022. - S. 7-8.
doi:10.1145/3565386.3565487
2021
Murtaza Raza, Jawad Tahir, Christoph Doblander, Ruben Mayer, Hans-Arno Jacobsen: Benchmarking Apache Kafka under network faults. In: Proceedings of the 2021 International Middleware Conference Demos and Posters. - New York : Association for Computing Machinery, 2021. - S. 5-7.
doi:10.1145/3491086.3492470
Jawad Tahir, Christoph Doblander, Ruben Mayer, Sebastian Frischbier, Hans-Arno Jacobsen: The DEBS 2021 grand challenge: analyzing environmental impact of worldwide lockdowns. In: Proceedings of the 15th ACM International Conference on Distributed and Event-Based Systems. - New York : Association for Computing Machinery, 2021. - S. 136-141.
doi:10.1145/3465480.3467836
Ruben Mayer, Hans-Arno Jacobsen: Hybrid edge partitioner : Partitioning large power-law graphs under memory constraints. In: Proceedings of the 2021 International Conference on Management of Data. - New York : Association for Computing Machinery, 2021. - S. 1289-1302.
doi:10.1145/3448016.3457300
Rinita Roy, Ruben Mayer, Hans-Arno Jacobsen: MDMS : Music Data Matching System for Query Variant Retrieval. In: Proceedings of the 29th ACM International Conference on Multimedia. - New York : Association for Computing Machinery, 2021. - S. 2762-2764.
doi:10.1145/3474085.3478551
Ruben Mayer, Hans-Arno Jacobsen: Scalable deep learning on distributed infrastructures : Challenges, techniques, and tools. In: ACM Computing Surveys, 53 (2021). - .
doi:10.1145/3363554
Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen: Why do my blockchain transactions fail? A study of hyperledger fabric. In: Proceedings of the 2021 international conference on management of data. - New York : Association for Computing Machinery, 2021. - S. 221-234.
doi:10.1145/3448016.3452823
2020
Ruben Mayer, Kamil Orujzade, Hans-Arno Jacobsen: 2ps : High-quality edge partitioning with two-phase streaming.. - arXiv, 2020. -
doi:10.48550/arXiv.2001.07086
Henriette Röger, Ruben Mayer: A comprehensive survey on parallelization and elasticity in stream processing. In: ACM Computing Surveys, 52 (2020). - .
doi:10.1145/3303849
Vincenzo Gulisano, Daniel Jorde, Ruben Mayer, Hannaneh Najdataei, Dimitris Palyvos-Giannas: The DEBS 2020 grand challenge. In: Proceedings of the 14th ACM International Conference on Distributed and Event-Based Systems. - New York : Association for Computing Machinery, 2020. - S. 183-186.
doi:10.1145/3401025.3402684
2019
Pezhman Nasirifard, Ruben Mayer, Hans-Arno Jacobsen: FabricCRDT : A conflict-free replicated datatypes approach to permissioned blockchains. In: Proceedings of the 2019 Middleware '19: 20th International Middleware Conference. - New York : Association for Computing Machinery, 2019. - S. 110-122.
doi:10.1145/3361525.3361540
2018
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. In: 2018 IEEE 38th International Conference on Distributed Computing Systems. - Piscataway, NJ : IEEE, 2018. - S. 685-695.
doi:10.1109/ICDCS.2018.00072
Christian Mayer, Muhammad Adnan Tariq, Ruben Mayer, Kurt Rothermel: GrapH : Traffic-aware graph processing. In: IEEE Transactions on Parallel and Distributed Systems, 29 (2018). - S. 1289-1302.
doi:10.1109/TPDS.2018.2794989
Christian Mayer, Ruben Mayer, Sukanya Bhowmik, Lukas Epple, Kurt Rothermel: HYPE : Massive hypergraph partitioning with neighborhood expansion. In: 2018 IEEE International Conference on Big Data. - Piscataway, NJ : IEEE, 2018. - S. 458-467.
doi:10.1109/BigData.2018.8621968
Thomas Kohler, Ruben Mayer, Frank Dürr, Marius Maaß, Sukanya Bhowmik, Kurt Rothermel: P4CEP : Towards in-network complex event processing. In: Proceedings of the 2018 Morning Workshop on In-Network Computing. - New York : Association for Computing Machinery, 2018. - S. 33-38.
doi:10.1145/3229591.3229593
Christian Mayer, Ruben Mayer, Jonas Grunert, Kurt Rothermel, Muhammad Adnan Tariq: Q-graph : preserving query locality in multi-query graph processing. In: Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA) 2018. - New York : Association for Computing Machinery, 2018.
doi:10.1145/3210259.3210265
Ruben Mayer:Window-based data parallelization in complex event processing. - Stuttgart: 2018. - 189 S.
(Dissertation, 2018, Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik)
doi:10.18419/opus-9727
2017
Enrique Saurez, Harshit Gupta, Umakishore Ramachandran, Ruben Mayer: Demo Abstract : Fog computing for improving user application interaction and context awareness. In: Proceedings 2017 IEEE/ACM Second International Conference on Internet-of-Things Design and Implementation. - New York : Association for Computing Machinery, 2017. - S. 281-282.
Ruben Mayer, Leon Graser, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran: EmuFog : Extensible and scalable emulation of large-scale fog computing infrastructures. In: 2017 IEEE Fog World Congress (FWC). - Piscataway, NJ : IEEE, 2017.
doi:10.1109/FWC.2017.8368525
Ruben Mayer, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran: The fog makes sense : Enabling social sensing services with limited internet connectivity. In: Proceedings 2017 2nd International Workshop on Social Sensing. - New York : Association for Computing Machinery, 2017. - S. 61-66.
doi:10.1145/3055601.3055614
Ruben Mayer, Harshit Gupta, Enrique Saurez, Umakishore Ramachandran: Fogstore : Toward a distributed data store for fog computing. In: 2017 IEEE Fog World Congress (FWC). - Piscataway, NJ : IEEE, 2017.
doi:10.1109/FWC.2017.8368524
Thomas Bach, Muhammad Adnan Tariq, Ruben Mayer, Kurt Rothermel: Knowledge is at the edge! How to search in distributed machine learning models. In: On the Move to Meaningful Internet Systems. OTM 2017 Conferences : Confederated International Conferences: CoopIS, C&TC, and ODBASE 2017, Rhodes, Greece, October 23-27, 2017, Proceedings. Part I. - Cham : Springer, 2017. - S. 410-428.
doi:10.1007/978-3-319-69462-7_27
Ruben Mayer, Muhammad Adnan Tariq, Kurt Rothermel: Minimizing communication overhead in window-based parallel complex event processing. In: Proceedings of the 11th ACM International Conference on Distributed and Event-Based Systems. - New York : Association for Computing Machinery, 2017. - S. 54-65.
doi:10.1145/3093742.3093914
Ruben Mayer, Ahmad Slo, Muhammad Adnan Tariq, Kurt Rothermel, Manuel Gräber, Umakishore Ramachandran: SPECTRE : Supporting consumption policies in window-based parallel complex event processing. In: Proceedings of the 2017 International Middleware Conference. - New York : Association for Computing Machinery, 2017. - S. 161-173.
doi:10.1145/3135974.3135983
Christian Mayer, Ruben Mayer, Majd Abdo: Streamlearner : Distributed incremental machine learning on event streams: Grand challenge. In: Proceedings of the 11th ACM International Conference on Distributed and Event-Based Systems. - New York : Association for Computing Machinery, 2017. - S. 298-303.
doi:10.1145/3093742.3095103
Ruben Mayer, Christian Mayer, Larissa Laich: The tensorflow partitioning and scheduling problem: it's the critical path!. In: Proceedings of the 1st Workshop on Distributed Infrastructures for Deep Learning. - New York : Association for Computing Machinery, 2017. - S. 1-6.
doi:10.1145/3154842.3154843
2016
Ruben Mayer, Christian Mayer, Muhammad Adnan Tariq, Kurt Rothermel: Graphcep : Real-time data analytics using parallel complex event and graph processing. In: Proceedings of the 10th ACM International Conference on Distributed and Event-Based Systems. - New York : Association for Computing Machinery, 2016. - S. 309-316.
doi:10.1145/2933267.2933509
Ruben Mayer, Muhammad Adnan Tariq, Kurt Rothermel: Real-time Batch Scheduling in Data-Parallel Complex Event Processing. - Stuttgart : 2016. - 14 S.
2015
Ruben Mayer, Boris Koldehofe, Kurt Rothermel: Predictable low-latency event detection with parallel complex event processing. In: IEEE Internet of Things Journal, 2 (2015). - S. 274-286.
doi:10.1109/JIOT.2015.2397316
2014
Beate Ottenwälder, Ruben Mayer, Boris Koldehofe: Distributed complex event processing for mobile large-scale video applications. In: Proceedings of the Posters & Demos Session. - New York : Association for Computing Machinery, 2014. - S. 5-6.
doi:10.1145/2678508.2678511
Ruben Mayer, Boris Koldehofe, Kurt Rothermel: Meeting predictable buffer limits in the parallel execution of event processing operators. In: 2014 IEEE International Conference on Big Data (Big Data). - Piscataway, NJ : IEEE, 2014. - S. 402-411.
doi:10.1109/BigData.2014.7004257
2013
Ruben Mayer: Real-time distributed complex event processing for big data scenarios. - (Vortrag), Veranstaltung: PhD Workshop at 7th ACM International Conference on Distributed Event-Based Systems (DEBS '13), .
Boris Koldehofe, Ruben Mayer, Umakishore Ramachandran, Kurt Rothermel, Marco Völz: Rollback-recovery without checkpoints in distributed event processing systems. In: Proceedings of the 7th ACM international conference on Distributed event-based systems. - New York : Association for Computing Machinery, 2013. - S. 27-38.
doi:10.1145/2488222.2488259
2012
Ruben Mayer: Wiederherstellung von Ereignisströmen in CEP-Systemen. - Stuttgart, 2012.
(Diplomarbeit, 2012, Universität Stuttgart, Institut für Parallele und Verteilte Systeme)
doi:10.18419/opus-3132