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A VNF sharing method based on node selection probability using reinforcement learning in air-ground network

delete2025-07-15
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OA
AI
K
Ke Wang
Y
Yongjun Li *
X
Xiang Wang
Y
Yuanhao Liu
K
Kai Zhang
F
Fenglei Zhang
Z
Zhiqiang Ma
Z
Zhe Zhao
DOI:10.1016/j.comnet.2025.111521delete
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Abstract

Abstract

En 中文
• In order to solve the reliable VNF sharing problem in air-ground network, we design a VNF sharing evaluation mechanism to decide whether to share VNF, and use the reinforcement learning approach to measure priority of network nodes. • The experimental results show that our method can increase the node and link resources utilization, and reduce the overall delay of SFC to a certain extent, and ensure a high SFC acceptance rate.
Keywords:
Network Function Virtualization
Service function chain
VNF sharing
Reinforcement learning
Air-ground network

Journal

Computer Networks cover
Computer Networks
IF:
4.6
Papers:
1.5K
Citations:
1.6W

Organization

No organization information available