Mobile Edge Computing Offloading Strategy Based on Deep Reinforcement Learning

Hui Xu; Ningling Ma; Wenting Hu; Xianjun Zhu

doi:10.1007/978-981-99-9637-7_20

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Mobile Edge Computing Offloading Strategy Based on Deep Reinforcement Learning

Hui Xu Ningling Ma Wenting Hu Xianjun Zhu

Year: 2024 Communications in computer and information science Pages: 274-280 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-9637-7_20

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Keywords:

Computer science Mobile edge computing Distributed computing Edge computing Reinforcement learning Scheduling (production processes) Energy consumption Server Cloud computing Enhanced Data Rates for GSM Evolution Computer network Artificial intelligence Operating system Mathematical optimization

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1.64

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0.72

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IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Blockchain Technology Applications and Security

Physical Sciences → Computer Science → Information Systems

Age of Information Optimization

Physical Sciences → Computer Science → Computer Networks and Communications

Mobile Edge Computing Offloading Strategy Based on Deep Reinforcement Learning

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