Scalable deep learning on distributed infrastructures: Challenges, techniques, and tools R Mayer, HA Jacobsen ACM Computing Surveys (CSUR) 53 (1), 1-37, 2020 | 221 | 2020 |
Emufog: Extensible and scalable emulation of large-scale fog computing infrastructures R Mayer, L Graser, H Gupta, E Saurez, U Ramachandran 2017 IEEE Fog World Congress (FWC), 1-6, 2017 | 167 | 2017 |
A comprehensive survey on parallelization and elasticity in stream processing H Röger, R Mayer ACM Computing Surveys (CSUR) 52 (2), 1-37, 2019 | 123 | 2019 |
Predictable low-latency event detection with parallel complex event processing R Mayer, B Koldehofe, K Rothermel IEEE Internet of Things Journal 2 (4), 274-286, 2015 | 114 | 2015 |
The evolution of distributed systems for graph neural networks and their origin in graph processing and deep learning: A survey J Vatter, R Mayer, HA Jacobsen ACM Computing Surveys 56 (1), 1-37, 2023 | 97 | 2023 |
Fogstore: Toward a distributed data store for fog computing R Mayer, H Gupta, E Saurez, U Ramachandran 2017 IEEE Fog World Congress (FWC), 1-6, 2017 | 92 | 2017 |
Why do my blockchain transactions fail? a study of hyperledger fabric JA Chacko, R Mayer, HA Jacobsen Proceedings of the 2021 international conference on management of data, 221-234, 2021 | 80 | 2021 |
Adwise: Adaptive window-based streaming edge partitioning for high-speed graph processing C Mayer, R Mayer, MA Tariq, H Geppert, L Laich, L Rieger, K Rothermel 2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018 | 60 | 2018 |
Rollback-recovery without checkpoints in distributed event processing systems B Koldehofe, R Mayer, U Ramachandran, K Rothermel, M Völz Proceedings of the 7th ACM international conference on Distributed event …, 2013 | 50 | 2013 |
P4CEP: Towards in-network complex event processing T Kohler, R Mayer, F Dürr, M Maaß, S Bhowmik, K Rothermel Proceedings of the 2018 Morning Workshop on In-Network Computing, 33-38, 2018 | 48 | 2018 |
The tensorflow partitioning and scheduling problem: it's the critical path! R Mayer, C Mayer, L Laich Proceedings of the 1st Workshop on Distributed Infrastructures for Deep …, 2017 | 46 | 2017 |
FabricCRDT: A conflict-free replicated datatypes approach to permissioned blockchains P Nasirifard, R Mayer, HA Jacobsen Proceedings of the 20th International Middleware Conference, 110-122, 2019 | 43 | 2019 |
Graphcep: Real-time data analytics using parallel complex event and graph processing R Mayer, C Mayer, MA Tariq, K Rothermel Proceedings of the 10th ACM International Conference on Distributed and …, 2016 | 40 | 2016 |
Minimizing communication overhead in window-based parallel complex event processing R Mayer, MA Tariq, K Rothermel Proceedings of the 11th ACM International Conference on Distributed and …, 2017 | 37 | 2017 |
Graph: Traffic-aware graph processing C Mayer, MA Tariq, R Mayer, K Rothermel IEEE Transactions on Parallel and Distributed Systems 29 (6), 1289-1302, 2018 | 33 | 2018 |
Hype: Massive hypergraph partitioning with neighborhood expansion C Mayer, R Mayer, S Bhowmik, L Epple, K Rothermel 2018 IEEE International Conference on Big Data (Big Data), 458-467, 2018 | 31 | 2018 |
SPECTRE: Supporting consumption policies in window-based parallel complex event processing R Mayer, A Slo, MA Tariq, K Rothermel, M Gräber, U Ramachandran Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference, 161-173, 2017 | 31 | 2017 |
Hybrid edge partitioner: Partitioning large power-law graphs under memory constraints R Mayer, HA Jacobsen Proceedings of the 2021 International Conference on Management of Data, 1289 …, 2021 | 26 | 2021 |
The fog makes sense: Enabling social sensing services with limited internet connectivity R Mayer, H Gupta, E Saurez, U Ramachandran Proceedings of the 2nd International Workshop on Social Sensing, 61-66, 2017 | 24 | 2017 |
Meeting predictable buffer limits in the parallel execution of event processing operators R Mayer, B Koldehofe, K Rothermel 2014 IEEE International Conference on Big Data (Big Data), 402-411, 2014 | 23 | 2014 |