Collaborative Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud Network
Author:
Affiliation:
1. College of Intelligence and Computing, Tianjin University, Tianjin, China
2. IBM T. J. Watson Research Center, Yorktown Heights, NY, USA
3. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China
Funder
National Science Foundation of China
China NSFC
China Post-Doctoral Science Foundation
Tianjin Xinchuang Haihe Laboratory
Guangdong Pearl River Talent Recruitment Program
Guangdong Pearl River Talent Plan
Shenzhen Science and Technology Innovation Commission
Canadian Natural Sciences and Engineering Research Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Software
Link
http://xplorestaging.ieee.org/ielx7/90/10365667/10111038.pdf?arnumber=10111038
Reference49 articles.
1. Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System
2. Edge Computing: Vision and Challenges
3. Borg, Omega, and Kubernetes
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1. Proactive Hybrid Autoscaling for Container-Based Edge Applications in Kubernetes;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024
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