Distributed reinforcement learning-based memory allocation for edge-PLCs in industrial IoT

Distributed reinforcement learning-based memory allocation for edge-PLCs in industrial IoT

Abstract The exponential device growth in industrial Internet of things (IIoT) has a noticeable impact on the volume of data generated. Edge-cloud computing cooperation has been introduced to the IIoT to lessen the computational load on cloud servers and shorten the processing time for data. General...

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Bibliographic Details
Main Authors: Tingting Fu, Yanjun Peng, Peng Liu, Haksrun Lao, Shaohua Wan
Format: Article
Language:English
Published: SpringerOpen 2022-10-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Industrial internet of things
Edge-PLC
Resource allocation
Q-learning
Online Access:https://doi.org/10.1186/s13677-022-00348-9

Internet

https://doi.org/10.1186/s13677-022-00348-9

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