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Deadline-Aware Task Offloading with Partially-Observable Deep Reinforcement Learning for Multi-Access Edge Computing

  • Published:2021 Issue: Volume: Page:1-1
  • ISSN:2327-4697
  • Container-title:IEEE Transactions on Network Science and Engineering
  • language:
  • Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Huang Hui,Ye Qiang,Zhou Yitong

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Cited by 15 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. DRL-Based Service Function Chain Edge-to-Edge and Edge-to-Cloud Joint Offloading in Edge-Cloud Network;IEEE Transactions on Network and Service Management;2023-12

2. Cooperative Task Offloading and Service Caching for Digital Twin Edge Networks: A Graph Attention Multi-Agent Reinforcement Learning Approach;IEEE Journal on Selected Areas in Communications;2023-11

3. Offloading Augmented Reality Tasks with Smart Energy Source-Aware Algorithms at the Edge;Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems;2023-10-30

4. A hybrid approach for latency and battery lifetime optimization in IoT devices through offloading and CNN learning;Sustainable Computing: Informatics and Systems;2023-09

5. Deep Reinforcement Learning for Task Offloading in a Multi-Access Edge Computing Environment;2023 International Conference on Network, Multimedia and Information Technology (NMITCON);2023-09-01
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