Reinout Eyckerman
Orcid: 0000-0002-9352-7981
According to our database1,
Reinout Eyckerman
authored at least 12 papers
between 2018 and 2022.
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Bibliography
2022
Application Placement in Fog Environments using Multi-Objective Reinforcement Learning with Maximum Reward Formulation.
Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022
2021
A Review of the Deep Sea Treasure problem as a Multi-Objective Reinforcement Learning Benchmark.
CoRR, 2021
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2021
2020
DUST Initializr - Graph-based platform for designing modules and applications in the revised DUST framework.
Internet Things, 2020
Evaluation of Objective Function Descriptions And Optimization Methodologies For Task Allocation In A Dynamic Fog Environment.
Proceedings of the 7th International Conference on Internet of Things: Systems, 2020
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2020
2019
Distributed Uniform Streaming Framework: An Elastic Fog Computing Platform for Event Stream Processing and Platform Transparency.
Future Internet, 2019
DUST Initializr - CAD Drawing Platform for Designing Modules and Applications in the DUST Framework.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019
2018
Proceedings of the Advances on P2P, 2018