PLCD: Policy Learning for Capped Service Mobility Downtime
Author:
Affiliation:
1. Sungkyunkwan University,Dept. of Computer Science and Engineering,Suwon,Korea
2. Sungkyunkwan University,Dept. of Electrical and Computer Engineering,Suwon,Korea
3. Seoul Theological University,Dept. of IT Convergence Software,Bucheon,Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10230087/10230088/10230207.pdf?arnumber=10230207
Reference18 articles.
1. User mobility aware task assignment for Mobile Edge Computing
2. Virtual Machine Migration Strategy Based on Multi-Agent Deep Reinforcement Learning
3. Online Service Migration in Mobile Edge with Incomplete System Information: A Deep Recurrent Actor-Critic Learning Approach
4. Distributed Task Migration Optimization in MEC by Extending Multi-Agent Deep Reinforcement Learning Approach
5. Deep Reinforcement Learning Based Service Migration Strategy for Edge Computing
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1. Deep Predictive User Path-Inclusive Service Mobility in B5G/6G Edge Clouds;2024 18th International Conference on Ubiquitous Information Management and Communication (IMCOM);2024-01-03
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