Load Balancing for Multiedge Collaboration in Wireless Metropolitan Area Networks: A Two-Stage Decision-Making Approach-Reference-Cited by-同舟云学术

Load Balancing for Multiedge Collaboration in Wireless Metropolitan Area Networks: A Two-Stage Decision-Making Approach

Published:2023-10-01 Issue:19 Volume:10 Page:17124-17136
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Chen Xing¹^ORCID,Yao Zewei¹^ORCID,Chen Zheyi¹^ORCID,Min Geyong²^ORCID,Zheng Xianghan¹,Rong Chunming³^ORCID

Affiliation:

1. College of Computer and Data Science and the Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China

2. Department of Computer Science, University of Exeter, Exeter, U.K.

3. Department of Electronic Engineering and Computer Science, University of Stavanger, Stavanger, Norway

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province for Distinguished Young Scholars

Central Funds Guiding the Local Science and Technology Development

Funds for Scientific Research of Fujian Provincial Department of Finance

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10261331/10113685.pdf?arnumber=10113685

Reference36 articles.

1. Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems

2. TensorFlow: A system for large-scale machine learning;abadi;Proc 12th USENIX Symp Oper Syst Des Implement (OSDI),2016

3. A Heuristic Clustering-Based Task Deployment Approach for Load Balancing Using Bayes Theorem in Cloud Environment

4. A queuing theory model for cloud computing

5. QoS-Aware Cloudlet Load Balancing in Wireless Metropolitan Area Networks

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