A Task Scheduling Approach for Optimizing 5G Edge Network Performance Through Cloud-Edge Collaborative Computing-Reference-Cited by-同舟云学术

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A Task Scheduling Approach for Optimizing 5G Edge Network Performance Through Cloud-Edge Collaborative Computing

Published:2023-10-20 Issue: Volume:32 Page:1-8
ISSN:
Container-title:2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT)
language:
Short-container-title:

Author:

B. Shanthi M.¹,Rao K. P. Vaishali²,N. Sudhakar K.³,D Parameshachari B.⁴

Affiliation:

1. CMR Institute of Technology,Department of Computer Science and Engineering,Bengaluru,India

2. CMR Institute of Technology,Department of Information Science and Engineering,Bengaluru,India

3. RV University,Department of Computer Science and Engineering,Bengaluru,India

4. Nitte Meenakshi Institute of Technology,Department of Electronics and Communication Engineering,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391855/10391862/10393279.pdf?arnumber=10393279

Reference24 articles.

1. 5G Technology in Healthcare and Wearable Devices: A Review

2. Research on 5G URLLC Standard and Key Technologies

3. Breast Cancer Detection on Histopathological Images Using a Composite Dilated Backbone Network

4. M-FFN: multi-scale feature fusion network for image captioning

5. 6G Mobile Communication Technology: Requirements, Targets, Applications, Challenges, Advantages, and Opportunities

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