Reinout Eyckerman

Orcid: 0000-0002-9352-7981

According to our database1, Reinout Eyckerman authored at least 12 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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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

A Generalized Approach For Practical Task Allocation Using A MAPE-K Control Loop.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Autonomous Building Control Using Offline Reinforcement Learning.
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

Requirements for distributed task placement in the fog.
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

Towards the Generalization of Distributed Software Communication.
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

Distributed Task Placement in the Fog: A Positioning Paper.
Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019

2018
Context-Aware Distribution In Constrained IoT Environments.
Proceedings of the Advances on P2P, 2018


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