A survey of embedding algorithm for virtual network embedding
H Cao, S Wu, Y Hu, Y Liu, L Yang - China Communications, 2019 - ieeexplore.ieee.org
… Therefore, how to embed proposed VNs, with various resource and characteristic
demands, onto the shared SN optimally, having finite network resources and multiple network …
demands, onto the shared SN optimally, having finite network resources and multiple network …
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
… The first academic document focusing on this problem and its virtual network resource
allocation counterpart is presented in [1]. Since then, many VNE algorithms have been proposed. …
allocation counterpart is presented in [1]. Since then, many VNE algorithms have been proposed. …
Efficient virtual network embedding of cloud-based data center networks into optical networks
… efficient embedding of data centers into optical networks, which aims to reduce complexity of
the network … Meanwhile, the physical network resources are efficiently used to increase the …
the network … Meanwhile, the physical network resources are efficiently used to increase the …
On virtual resource allocation of heterogeneous networks in virtualization environment: A service oriented perspective
… the service oriented virtual resource allocation issue in … , we research the service oriented
virtual resource allocation problem. A … It is owing to the fact of finite physical network resources. …
virtual resource allocation problem. A … It is owing to the fact of finite physical network resources. …
Smart resource allocation for mobile edge computing: A deep reinforcement learning approach
… edge computing environment brings to MEC servers. At this point, how to allocate computing
resources and network resources … based Resource Allocation (DRLRA) scheme, which can …
resources and network resources … based Resource Allocation (DRLRA) scheme, which can …
A Q-learning-based approach for virtual network embedding in data center
Y Yuan, Z Tian, C Wang, F Zheng, Y Lv - Neural Computing and …, 2020 - Springer
… Virtual network embedding (VNE) refers to allocating reasonable substrate network resources
for virtual network (VN) requests that include computing resources and network resources, …
for virtual network (VN) requests that include computing resources and network resources, …
Dynamic network slicing and resource allocation in mobile edge computing systems
… network slicing, network resources can be flexibly and dynamically allocated to logical network
… With the rapid development of network edge applications such as the Internet of Things (…
… With the rapid development of network edge applications such as the Internet of Things (…
5G network slices embedding with sharable virtual network functions
C Mei, J Liu, J Li, L Zhang… - … and Networks, 2020 - ieeexplore.ieee.org
… the network resource utilization ratio. Further, we formulate the problem of allocating physical
network nodes and links resources … virtual BBU and virtual mobile edge computing (MEC) …
network nodes and links resources … virtual BBU and virtual mobile edge computing (MEC) …
Joint resource allocation and user association for heterogeneous services in multi-access edge computing networks
… , the fairness of resource allocation for UEs in the network is further discussed. The performance
of fairness is an ignorable issue to evaluate the optimization of resource allocation [32], …
of fairness is an ignorable issue to evaluate the optimization of resource allocation [32], …
DeepViNE: Virtual network embedding with deep reinforcement learning
… the time it takes to compute an embedding for the feasible demands. In this work, 21 graph
features and 8 resource features are used to represent the physical network, while 7 graph …
features and 8 resource features are used to represent the physical network, while 7 graph …