Optimization for computational offloading in multi-access edge computing: A deep reinforcement learning scheme

2022 ◽  
pp. 108690
Author(s):  
Jian Wang ◽  
Hongchang Ke ◽  
Xuejie Liu ◽  
Hui Wang
Keyword(s):  
Reinforcement Learning ◽  
Edge Computing ◽  
Learning Scheme ◽  
Computational Offloading ◽  
Multi Access

scholarly journals Using Deep Reinforcement Learning for Application Relocation in Multi-Access Edge Computing

2019 ◽  
Vol 3 (3) ◽  
pp. 71-78 ◽  
Author(s):  
Fabrizio De Vita ◽  
Giovanni Nardini ◽  
Antonio Virdis ◽  
Dario Bruneo ◽  
Antonio Puliafito ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Edge Computing ◽  
Multi Access

scholarly journals Computation Offloading in Multi-Access Edge Computing Using a Deep Sequential Model Based on Reinforcement Learning

2019 ◽  
Vol 57 (5) ◽  
pp. 64-69 ◽  
Author(s):  
Jin Wang ◽  
Jia Hu ◽  
Geyong Min ◽  
Wenhan Zhan ◽  
Qiang Ni ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Edge Computing ◽  
Computation Offloading ◽  
Sequential Model ◽  
Model Based ◽  
Multi Access

A Deep Reinforcement Learning Approach For Data Migration in Multi-Access Edge Computing

2018 ◽  
Author(s):  
Fabrizio De Vita ◽  
Dario Bruneo ◽  
Antonio Puliafito ◽  
Giovanni Nardini ◽  
Antonio Virdis ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Edge Computing ◽  
Data Migration ◽  
Learning Approach ◽  
Multi Access

Service migration in multi-access edge computing: A joint state adaptation and reinforcement learning mechanism

2021 ◽  
pp. 103058
Author(s):  
LanLan Rui ◽  
Menglei Zhang ◽  
Zhipeng Gao ◽  
Xuesong Qiu ◽  
Zhili Wang ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Edge Computing ◽  
Learning Mechanism ◽  
Service Migration ◽  
Multi Access ◽  
Joint State
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