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Intelligent task migration with deep Qlearning in multi-access edge computing
Sheng Zhi Huang, Kun Yu Lin,
Chin Lin Hu
通訊工程學系
研究成果
:
雜誌貢獻
›
期刊論文
›
同行評審
6
引文 斯高帕斯（Scopus）
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Keyphrases
Mobile Edge Computing
100%
Task Migration
100%
Edge Server
100%
Deep Q-learning
100%
Migration Scheme
50%
Simulation-based
25%
Information Processing Capability
25%
Quality of Service
25%
Network Resources
25%
Limited Resources
25%
Mobile Devices
25%
Optimization Problem
25%
Computational Resources
25%
Mobile Networks
25%
Mobile Environment
25%
Computing Resources
25%
System Services
25%
Q-learning
25%
Collaborative Intelligence
25%
Task Processing
25%
Edge Computing
25%
Intelligent Mechanisms
25%
Resource Utilization
25%
Service Time
25%
Service Resources
25%
Numerical Attributes
25%
Deep Reinforcement Learning (deep RL)
25%
System Scalability
25%
Multiple Edges
25%
Queueing Model
25%
Conventional Design
25%
Task Offloading
25%
User Application
25%
Collaborative Computing
25%
Migration Strategy
25%
Multi-server
25%
Computing Design
25%
Multi-server Systems
25%
Network Boundary
25%
Task Allocation
25%
Dynamic Task
25%
Service Efficiency
25%
Computer Science
Multi-Access Edge Computing
100%
Edge Server
100%
Migration Task
100%
Processing Capability
25%
Network Resource
25%
Mobile Device
25%
Optimization Problem
25%
Mobile Network
25%
Learning Technique
25%
Mobile Environment
25%
Computing Resource
25%
Resource Utilisation
25%
Deep Reinforcement Learning
25%
Edge Computing
25%
queueing model
25%
Collaborative Computing
25%
Boundary Network
25%
User Application
25%
Derived Attribute
25%