A continuous-decision virtual network embedding scheme relying on reinforcement learning
Network Virtualization (NV) techniques allow multiple virtual network requests to beneficially
share resources on the same substrate network, such as node computational resources and …
share resources on the same substrate network, such as node computational resources and …
RDAM: A reinforcement learning based dynamic attribute matrix representation for virtual network embedding
Network virtualization makes it possible to manage multiple virtual networks simultaneously
on substrate physical networks. Virtual network embedding (VNE) is the critical step of …
on substrate physical networks. Virtual network embedding (VNE) is the critical step of …
Revenue-driven virtual network embedding based on global resource information
Virtual network embedding (VNE), working as a key step for network virtualization, has
recently gained intensive attentions from the research community. In this paper, we propose …
recently gained intensive attentions from the research community. In this paper, we propose …
A novel reinforcement learning algorithm for virtual network embedding
Network virtualization enables the share of a physical network among multiple virtual
networks. Virtual network embedding determines the effectiveness of utilization of network …
networks. Virtual network embedding determines the effectiveness of utilization of network …
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 …
embedding (VNE) is the core orientation of VN, which aims to provide more flexible …
VNE-TD: A virtual network embedding algorithm based on temporal-difference learning
Recently, network virtualization is considered as a promising solution for the future Internet
which can help to overcome the resistance of the current Internet to fundamental changes …
which can help to overcome the resistance of the current Internet to fundamental changes …
Toward profit-seeking virtual network embedding algorithm via global resource capacity
In this paper, after proposing a novel metric, ie, global resource capacity (GRC), to quantify
the embedding potential of each substrate node, we propose an efficient heuristic virtual …
the embedding potential of each substrate node, we propose an efficient heuristic virtual …
Virtual network embedding based on the degree and clustering coefficient information
The issue of virtual network (VN) embedding constitutes an important aspect of network
virtualization, which is considered to be one of the most crucial techniques to overcome the …
virtualization, which is considered to be one of the most crucial techniques to overcome the …
Automatic virtual network embedding: A deep reinforcement learning approach with graph convolutional networks
Z Yan, J Ge, Y Wu, L Li, T Li - IEEE Journal on Selected Areas …, 2020 - ieeexplore.ieee.org
Virtual network embedding arranges virtual network services onto substrate network
components. The performance of embedding algorithms determines the effectiveness and …
components. The performance of embedding algorithms determines the effectiveness and …
Virtual network embedding through topology awareness and optimization
Embedding a sequence of virtual networks (VNs) into a given physical network substrate to
accommodate as many VN requests as possible is known to be NP-hard. This paper …
accommodate as many VN requests as possible is known to be NP-hard. This paper …
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