A reinforcement learning approach for placement of stateful virtualized network functions

G Kibalya, J Serrat, JL Gorricho… - 2021 IFIP/IEEE …, 2021 - ieeexplore.ieee.org
Network softwarization increases network flexibility by supporting the implementation of
network functions such as firewalls as software modules. However, this creates new …

Online fault-tolerant VNF chain placement: A deep reinforcement learning approach

W Mao, L Wang, J Zhao, Y Xu - 2020 IFIP Networking …, 2020 - ieeexplore.ieee.org
Since Network Function Virtualization (NFV) decouples network functions (NFs) from the
underlying dedicated hardware and realizes them in the form of software called Virtual …

MAPLE: A machine learning approach for efficient placement and adjustment of virtual network functions

OA Wahab, N Kara, C Edstrom, Y Lemieux - Journal of Network and …, 2019 - Elsevier
As one of the many advantages of cloud computing, Network Function Virtualization (NFV)
has revolutionized the network and telecommunication industry through enabling the …

Algorithms for fault-tolerant placement of stateful virtualized network functions

B Yang, Z Xu, WK Chai, W Liang… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
Traditional network functions (NFs) such as firewalls are implemented in costly dedicated
hardware. By decoupling NFs from physical devices, network function virtualization enables …

Dynamic placement of virtual network functions based on model predictive control

K Kawashima, T Otoshi, Y Ohsita… - NOMS 2016-2016 IEEE …, 2016 - ieeexplore.ieee.org
Dynamic placement of the virtual network functions (VNFs) is one of the promising
approaches to handling time-varying demands; when demands are small, the energy …

A reinforcement-learning self-healing approach for virtual network function placement

M Avgeris, A Leivadeas… - NOMS 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Modern networking paradigms like Service Function Chaining (SFC) allow for services to be
broken down to a series of ordered and interconnected Virtualized Network Functions …

An enhanced reinforcement learning approach for dynamic placement of virtual network functions

O Houidi, O Soualah, W Louati… - 2020 IEEE 31st Annual …, 2020 - ieeexplore.ieee.org
This paper addresses Virtualized Network Function Forwarding Graph (VNF-FG) embedding
with the objective of realizing long term reward compared to placement algorithms that aim …

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 …

An attention based deep reinforcement learning method for virtual network function placement

S Li, S Zhang, L Chen, H Chen, X Liu… - 2020 IEEE 6th …, 2020 - ieeexplore.ieee.org
Network Function Virtualization (NFV) decouples network functions from the dedicated
hardware and produces Virtual Network Functions (VNFs) in software. The VNFs are placed …

HASP: high availability SFC placement approach in data center network

Z Xu, Q Han, B Cheng, M Niu… - … 19th Int Conf on Smart City …, 2021 - ieeexplore.ieee.org
Network Function Virtualization (NFV) is a promising technology that decouples network
functions from the hardware. Virtual Network Functions (VNFs) can form service function …