Combining deep reinforcement learning with graph neural networks for optimal VNF placement
P Sun, J Lan, J Li, Z Guo, Y Hu - IEEE Communications Letters, 2020 - ieeexplore.ieee.org
Network Function Virtualization (NFV) technology utilizes software to implement network
function as virtual instances, which reduces the cost on various middlebox hardware. A …
function as virtual instances, which reduces the cost on various middlebox hardware. A …
Optimal VNF placement via deep reinforcement learning in SDN/NFV-enabled networks
The emerging paradigm-Software-Defined Networking (SDN) and Network Function
Virtualization (NFV)-makes it feasible and scalable to run Virtual Network Functions (VNFs) …
Virtualization (NFV)-makes it feasible and scalable to run Virtual Network Functions (VNFs) …
Leveraging deep reinforcement learning with attention mechanism for virtual network function placement and routing
The efficacy of Network Function Virtualization (NFV) depends critically on (1) where the
virtual network functions (VNFs) are placed and (2) how the traffic is routed. Unfortunately …
virtual network functions (VNFs) are placed and (2) how the traffic is routed. Unfortunately …
Machine learning for dynamic resource allocation in network function virtualization
S Schneider, NP Satheeschandran… - 2020 6th IEEE …, 2020 - ieeexplore.ieee.org
Network function virtualization (NFV) proposes to replace physical middleboxes with more
flexible virtual network functions (VNFs). To dynamically adjust to ever-changing traffic …
flexible virtual network functions (VNFs). To dynamically adjust to ever-changing traffic …
Machine learning for performance-aware virtual network function placement
With the growing demand for data connectivity, network service providers are faced with the
task of reducing their capital and operational expenses while simultaneously improving …
task of reducing their capital and operational expenses while simultaneously improving …
Virtual network function placement optimization with deep reinforcement learning
R Solozabal, J Ceberio, A Sanchoyerto… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Network Function Virtualization (NFV) introduces a new network architecture framework that
evolves network functions, traditionally deployed over dedicated equipment, to software …
evolves network functions, traditionally deployed over dedicated equipment, to software …
Joint placement and allocation of virtual network functions with budget and capacity constraints
With the advent of Network Function Virtualization (NFV), network services that traditionally
run on proprietary dedicated hardware can now be realized using Virtual Network Functions …
run on proprietary dedicated hardware can now be realized using Virtual Network Functions …
A-DDPG: Attention mechanism-based deep reinforcement learning for NFV
The efficacy of Network Function Virtualization (NFV) depends critically on (1) where the
virtual network functions (VNFs) are placed and (2) how the traffic is routed. Unfortunately …
virtual network functions (VNFs) are placed and (2) how the traffic is routed. Unfortunately …
Deep reinforcement learning for dynamic reliability aware NFV-based service provisioning
HR Khezri, PA Moghadam… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Network function virtualization (NFV) is referred to the technology in which softwarized
network functions virtually run on commodity servers. Such functions are called virtual …
network functions virtually run on commodity servers. Such functions are called virtual …
MAPLE: A machine learning approach for efficient placement and adjustment of virtual network functions
As one of the many advantages of cloud computing, Network Function Virtualization (NFV)
has revolutionized the network and telecommunication industry through enabling the …
has revolutionized the network and telecommunication industry through enabling the …
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