Dependent Task Offloading for Edge Computing based on Deep Reinforcement Learning

Jin Wang; Jia Hu; Geyong Min; Wenhan Zhan; Albert Y. Zomaya; Nektarios Georgalas

doi:10.1109/tc.2021.3131040

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JOURNAL ARTICLE

Dependent Task Offloading for Edge Computing based on Deep Reinforcement Learning

Jin Wang Jia Hu Geyong Min Wenhan Zhan Albert Y. Zomaya Nektarios Georgalas

Year: 2021 Journal: IEEE Transactions on Computers Vol: 71 (10)Pages: 2449-2461 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tc.2021.3131040

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Abstract

This is the author accepted manuscript. The final version is available from IEEE via the DOI in this record

Keywords:

Computer science Reinforcement learning Edge computing Directed acyclic graph Latency (audio) Distributed computing Task (project management) Heuristic Enhanced Data Rates for GSM Evolution Artificial intelligence Algorithm

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24.18

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Topics

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

Dependent Task Offloading for Edge Computing based on Deep Reinforcement Learning

Abstract

Metrics

Citation History

Topics

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