Ruben Mayer
Ruben Mayer
Verified email at in.tum.de
Title
Cited by
Cited by
Year
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
712015
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
602017
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
412013
A comprehensive survey on parallelization and elasticity in stream processing
H Röger, R Mayer
ACM Computing Surveys (CSUR) 52 (2), 1-37, 2019
312019
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
312016
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
292017
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
222017
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
222017
Scalable deep learning on distributed infrastructures: Challenges, techniques, and tools
R Mayer, HA Jacobsen
ACM Computing Surveys (CSUR) 53 (1), 1-37, 2020
212020
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
202017
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
192017
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
182014
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
162018
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
152018
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
142018
Fog computing for improving user application interaction and context awareness: Demo abstract
E Saurez, H Gupta, U Ramachandran, R Mayer
Proceedings of the Second International Conference on Internet-of-Things …, 2017
132017
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
112018
Streamlearner: Distributed incremental machine learning on event streams: Grand challenge
C Mayer, R Mayer, M Abdo
Proceedings of the 11th ACM International Conference on Distributed and …, 2017
112017
Distributed complex event processing for mobile large-scale video applications
B Ottenwälder, R Mayer, B Koldehofe
Proceedings of the Posters & Demos Session, 5-6, 2014
82014
Knowledge is at the edge! How to search in distributed machine learning models
T Bach, MA Tariq, R Mayer, K Rothermel
OTM Confederated International Conferences" On the Move to Meaningful …, 2017
62017
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