Comparative Analysis on Collaborative Cloud-Edge-End Computing Architecture of High-Speed Train-Reference-Cited by-同舟云学术

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Comparative Analysis on Collaborative Cloud-Edge-End Computing Architecture of High-Speed Train

Published:2023-10-20 Issue: Volume:11 Page:752-757
ISSN:
Container-title:2023 IEEE 23rd International Conference on Communication Technology (ICCT)
language:
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Author:

Liu Jinrui¹,Song Jian²,Wang Hongwei¹,Lin Siyu¹

Affiliation:

1. School of Electronic and Information Engineering, Beijing Jiaotong University,China

2. China Railway Information Technology Group Co. Ltd.,Beijing,100844

Funder

National Key R&D Program of China

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10419380/10419200/10419681.pdf?arnumber=10419681

Reference11 articles.

1. A Newly Robust Fault Detection and Diagnosis Method for High-Speed Trains

2. Big Data Analytics in Intelligent Transportation Systems: A Survey

3. A Survey of Challenging Issues and Approaches in Mobile Cloud Computing

4. Joint C-V2X Based Offloading and Resource Allocation in Multi-Tier Vehicular Edge Computing System

5. Collaborative Cloud-Edge-End Task Offloading in Mobile-Edge Computing Networks With Limited Communication Capability

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1. Cloud-edge collaboration-based task offloading strategy in railway IoT for intelligent detection;Wireless Networks;2024-09-04

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