Dynamic Virtual Network Embedding Algorithm Based on Graph Convolution Neural Network and Reinforcement Learning

Network virtualization (NV) is a technology with broad application prospects. Virtual network embedding (VNE) is the core orientation of VN, which aims to provide more flexible underlying physical resource allocation for user function requests. The classical VNE problem is usually solved by the heur...

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Vydané v:	IEEE internet of things journal Ročník 9; číslo 12; s. 9389 - 9398
Hlavní autori:	Zhang, Peiying, Wang, Chao, Kumar, Neeraj, Zhang, Weishan, Liu, Lei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 15.06.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Artificial neural networks Clustering algorithms Convolution Dynamic characteristics Dynamic scheduling Embedding Fitness Fitness matrix Flexibility graph convolution neural network Heuristic algorithms Heuristic methods Internet of Things Machine learning Neural networks Reinforcement learning reinforcement learning (RL) Resource allocation Search problems virtual network embedding (VNE) Virtual networks
ISSN:	2327-4662, 2327-4662
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