A Deep Reinforcement Learning Approach for Dependent Task Offloading in Multi-Access Edge Computing

Bo Xie; Haixia Cui; Yejun He; Mohsen Guizani

doi:10.1109/tccn.2024.3520961

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A Deep Reinforcement Learning Approach for Dependent Task Offloading in Multi-Access Edge Computing

Bo Xie Haixia Cui Yejun He Mohsen Guizani

Year: 2024 Journal: IEEE Transactions on Cognitive Communications and Networking Vol: 11 (4)Pages: 2601-2617 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tccn.2024.3520961

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Keywords:

Computer science Reinforcement learning Edge computing Task (project management) Enhanced Data Rates for GSM Evolution Distributed computing Mobile edge computing Artificial intelligence Human–computer interaction Computer network

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IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Age of Information Optimization

Physical Sciences → Computer Science → Computer Networks and Communications

Cloud Computing and Resource Management

Physical Sciences → Computer Science → Information Systems

A Deep Reinforcement Learning Approach for Dependent Task Offloading in Multi-Access Edge Computing

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