Optimal Task Offloading with Deep Q-Network for Edge-Cloud Computing Environment-Reference-Cited by-同舟云学术

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Optimal Task Offloading with Deep Q-Network for Edge-Cloud Computing Environment

Published:2022-10-19 Issue: Volume: Page:
ISSN:
Container-title:2022 13th International Conference on Information and Communication Technology Convergence (ICTC)
language:
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Author:

Ullah Ihsan¹,Lim Hyun-Kyo²,Seok Yeong-Jun³,Han Youn-Hee²

Affiliation:

1. University of Technology and Education,Advanced Technology Research Center,Cheonan,South Korea

2. Korea University of Technology and Education,Future Convergence Engineering,Cheonan,South Korea

3. Korea University of Technology and Education,Department of Computer Science and Engineering,Cheonan,South Korea

Funder

National Research Foundation of Korea

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9952188/9952355/09952511.pdf?arnumber=9952511

Reference17 articles.

1. Deep reinforcement learning-based joint task offloading and bandwidth allocation for multi-user mobile edge computing

2. Deep Learning Empowered Task Offloading for Mobile Edge Computing in Urban Informatics

3. Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing task offloading and resource allocation in edge-cloud networks: a DRL approach;Journal of Cloud Computing;2023-07-26

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