Deep Reinforcement Learning for Containerized Edge Intelligence Inference Request Processing in IoT Edge Computing-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning for Containerized Edge Intelligence Inference Request Processing in IoT Edge Computing

Published:2023-11 Issue:6 Volume:16 Page:4328-4344
ISSN:1939-1374
Container-title:IEEE Transactions on Services Computing
language:
Short-container-title:IEEE Trans. Serv. Comput.

Author:

Nkenyereye Lionel¹^ORCID,Baeg Kang-Jun²^ORCID,Chung Wan-Young³^ORCID

Affiliation:

1. AI Convergence Education & Research Group, Pukyong National University, Busan, South Korea

2. Department of Nanotechnology Engineering, Pukyong National University, Busan, South Korea

3. Department of AI Convergence & Department of Electronic Engineering, Pukyong National University, Busan, South Korea

Funder

Ministry of Science and Technology

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Link

http://xplorestaging.ieee.org/ielx7/4629386/10360362/10268016.pdf?arnumber=10268016

Reference42 articles.

1. Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

2. Future Edge Cloud and Edge Computing for Internet of Things Applications

3. Boosting Edge Intelligence With Collaborative Cross-Edge Analytics

4. Design and Implement of Microservice System for Edge Computing

5. Performance Evaluation of Deep Learning Tools in Docker Containers

Cited by 3 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. Joint Long-Term User Scheduling and Beamforming Design for Burst IIoT;IEEE Internet of Things Journal;2024-06-15

2. Comparative DQN-Improved Algorithms for Stochastic Games-Based Automated Edge Intelligence-Enabled IoT Malware Spread-Suppression Strategies;IEEE Internet of Things Journal;2024-06-15

3. An Energy-Efficient Intelligence Sharing Scheme in Intelligence Networking-Empowered Edge Computing;IEEE Access;2024

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