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Investigation and RL-based Optimization of Offloading Decision Making in Industrial Edge Computing Scenarios Cover

Investigation and RL-based Optimization of Offloading Decision Making in Industrial Edge Computing Scenarios

Foundations of Computing and Decision Sciences
Volume 51 (2026): Issue 2 (June 2026)
By: ,  ,   and    
Open Access
|Jun 2026
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DOI: https://doi.org/10.2478/fcds-2026-0010 | Journal eISSN: 2300-3405 | Journal ISSN: 0867-6356
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Language: English
Page range: 311 - 333
Submitted on: Oct 12, 2025
Accepted on: Mar 11, 2026
Published on: Jun 26, 2026
Published by: Poznan University of Technology
In partnership with: Paradigm Publishing Services
Keywords:
Edge Computing,
Computation Offloading,
Task Complexity,
Reinforcement Learning,
Offloading Gain
Related subjects:
Computer sciences,
Software development

© 2026 Eugen Volk, Alexander Artemenko, Indrit Fejza, Marco Aiello, published by Poznan University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 51 (2026): Issue 2 (June 2026)
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