A Two-Stage Hybrid Multi-Objective Optimization Evolutionary Algorithm for Computing Offloading in Sustainable Edge Computing-Reference-Cited by-同舟云学术

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A Two-Stage Hybrid Multi-Objective Optimization Evolutionary Algorithm for Computing Offloading in Sustainable Edge Computing

Published:2024-02 Issue:1 Volume:70 Page:735-746
ISSN:0098-3063
Container-title:IEEE Transactions on Consumer Electronics
language:
Short-container-title:IEEE Trans. Consumer Electron.

Author:

Li Lingjie¹^ORCID,Qiu Qijie²,Xiao Zhijiao²^ORCID,Lin Qiuzhen²^ORCID,Gu Jiongjiong³,Ming Zhong²^ORCID

Affiliation:

1. Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, China

2. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

3. Cloud Product Service Department, Huawei Cloud Computing Technologies Company Ltd., Shenzhen, China

Funder

Natural Science Foundation of Guangdong Province

Stable Support Project of Shenzhen

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/30/10510045/10472324.pdf?arnumber=10472324

Reference42 articles.

1. Edge Servers Deployment Based on 5G Micro Base Stations

2. READ: Robustness-oriented Edge Application Deployment in Edge Computing Environment

3. Open Source 5G Security Testbed for Edge Computing

4. Computation Offloading and Resource Allocation in Failure-Aware Vehicular Edge Computing

5. Customer Centric Service Caching for Intelligent Cyber-Physical Transportation Systems with Cloud-Edge Computing Leveraging Digital Twins

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2. Joint UAV Deployment and Task Offloading in Large-Scale UAV-Assisted MEC: A Multiobjective Evolutionary Algorithm;Mathematics;2024-06-25

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