Q-Learning Based Content Placement Method for Dynamic Cloud Content Delivery Networks

Q-Learning Based Content Placement Method for Dynamic Cloud Content Delivery Networks

How to reduce the content placement cost of cloud content delivery networks (CCDNs) is a hot topic in recent years. Traditional content placement methods mainly reduce the cost of content placement by constructing delivery trees, but they cannot adapt to the dynamic deployment of cloud proxy servers...

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Bibliographic Details
Main Authors: Yujie Liu, Dianjie Lu, Guijuan Zhang, Jie Tian, Weizhi Xu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Content placement
dynamic CCDNs
congestion information
Q-learning
Online Access:https://ieeexplore.ieee.org/document/8717626/

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