Reinforcement learning empowered multi-AGV offloading scheduling in edge-cloud IIoT

Reinforcement learning empowered multi-AGV offloading scheduling in edge-cloud IIoT

Abstract The edge-cloud computing architecture has been introduced to industrial circles to ensure the time constraints for industrial computing tasks. Besides the central cloud, various numbers of edge servers (ESes) are deployed in a distributed manner. In the meantime, most large factories curren...

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Bibliographic Details
Main Authors: Peng Liu, Zhe Liu, Ji Wang, Zifu Wu, Peng Li, Huijuan Lu
Format: Article
Language:English
Published: SpringerOpen 2022-11-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Mobile Edge Computing
Task Offloading Optimization
Reinforcement Learning
Q-learning
Online Access:https://doi.org/10.1186/s13677-022-00352-z

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