Cloud-Edge-End Collaborative Caching Based on Graph Learning for Cyber-Physical Virtual Reality-Reference-Cited by-同舟云学术

Cloud-Edge-End Collaborative Caching Based on Graph Learning for Cyber-Physical Virtual Reality

Published:2023-12 Issue:4 Volume:17 Page:5097-5108
ISSN:1932-8184
Container-title:IEEE Systems Journal
language:
Short-container-title:IEEE Systems Journal

Author:

Yang Junchao¹^ORCID,Guo Zhiwei¹^ORCID,Luo Jiangtao²^ORCID,Shen Yu¹^ORCID,Yu Keping³^ORCID

Affiliation:

1. Chongqing Key Laboratory of Intelligent Perception and BlockChain Technology, National Research Base of Intelligent Manufacturing Services, Chongqing Technology and Business University, Chongqing, China

2. Electronic Information and Networking Research Institute, Chongqing University of Posts and Telecommunications, Chongqing, China

3. Graduate School of Science and Engineering, Hosei University, Tokyo, Japan

Funder

Chongqing Municipal Education Commission

Chongqing Science and Technology Commission

National Natural Science Foundation of China

Chongqing Technology and Business University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/4267003/10354254/10101693.pdf?arnumber=10101693

Reference30 articles.

1. A Transcoding-Enabled 360° VR Video Caching and Delivery Framework for Edge-Enhanced Next-Generation Wireless Networks

2. An Intelligent Deterministic Scheduling Method for Ultralow Latency Communication in Edge Enabled Industrial Internet of Things

3. Efficient Offloading for Minimizing Task Computation Delay of NOMA-Based Multiaccess Edge Computing

4. A Fuzzy Logic-Based Intelligent Multiattribute Routing Scheme for Two-Layered SDVNs

5. Hierarchical Domain-Based Multicontroller Deployment Strategy in SDN-Enabled Space–Air–Ground Integrated Network

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