Toward Reinforcement-Learning-Based Service Deployment of 5G Mobile Edge Computing with Request-Aware Scheduling-Reference-Cited by-同舟云学术

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Toward Reinforcement-Learning-Based Service Deployment of 5G Mobile Edge Computing with Request-Aware Scheduling

Published:2020-02 Issue:1 Volume:27 Page:84-91
ISSN:1536-1284
Container-title:IEEE Wireless Communications
language:
Short-container-title:IEEE Wireless Commun.

Author:

Zhai Yanlong,Bao Tianhong,Zhu Liehuang,Shen Meng,Du Xiaojiang,Guizani Mohsen

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7742/9023908/09023928.pdf?arnumber=9023928

Cited by 36 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. Deep reinforcement learning-based low-latency task offloading for mobile-edge computing networks;Applied Soft Computing;2024-11

2. QoS-Aware Content Delivery in 5G-Enabled Edge Computing: Learning-Based Approaches;IEEE Transactions on Mobile Computing;2024-10

3. A novel segmented random search based batch scheduling algorithm in fog computing;Computers in Human Behavior;2024-09

4. A Placement Method of the 5G Edge Nodes Based on the Hotspot Distribution of Mobile Users;Applied Sciences;2024-07-08

5. Latency and Bandwidth Benefits of Edge Computing for Scientific Applications;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2024-05-20

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