Reinforcement learning based scheme for on-demand vehicular ...
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A Reinforcement Learning model deployed on road side units to predict on-demand placement of microservices on cluster or caching at RSU.
Fog computing has been introduced to reduce the amount of data sent to cloud by bringing processing power near the edge and reducing latency. In this paper, we ...
We implemented the container manager directly through the Docker API for Python, which allows us to incorporate the deep learning model, the MAPE-K control ...
Oct 22, 2024 · Request PDF | On Apr 1, 2023, Ahmad Nsouli and others published Reinforcement learning based scheme for on-demand vehicular fog formation ...
Reinforcement Learning Based Scheme for On-Demand Vehicular Fog Formation and Micro Services Placement. https://doi.org/10.1109/iwcmc55113.2022.9824490.
Reinforcement learning based scheme for on-demand vehicular fog formation. Vehicular Communications, 40:100571, April 2023. [doi]. Abstract; Authors · BibTeX ...
May 30, 2022 · Reinforcement Learning Based Scheme for On-Demand Vehicular Fog Formation and Micro Services Placement. Ahmad Nsouli 1. ,. Azzam Mourad 2.
Apr 17, 2023 · Findings from Lebanese American University in Engineering Reported (Reinforcement Learning Based Scheme for On-demand Vehicular Fog Formation).
Oct 5, 2023 · Fog computing reduces network latency by moving computational resources close to where the data is generated. Vehicular fog computing (VFC) ...
Missing: scheme formation.
Oct 4, 2024 · The reinforcement learning-based resource allocation scheme in vehicular fog networks is briefly given in Section V. The results and discussion ...