Service function chain embedding meets machine learning: Deep reinforcement learning approach

Y Liu, J Zhang - IEEE Transactions on Network and Service …, 2024 - ieeexplore.ieee.org
With the emerge of the network function virtualization (NFV) and software-defined network
(SDN), the SDN/NFV-enabled network has been recognized as one of the most promising …

SFC embedding meets machine learning: Deep reinforcement learning approaches

Y Liu, Y Lu, X Li, W Qiao, Z Li… - IEEE Communications …, 2021 - ieeexplore.ieee.org
Service function chain (SFC) has been recognized as one of the most important
technologies that can satisfy dynamic service demands in the edge clouds. However, how to …

Unsupervised Deep Learning for Distributed Service Function Chain Embedding

P Rodis, P Papadimitriou - IEEE Access, 2023 - ieeexplore.ieee.org
Network Function Virtualization (NFV) has paved the way for the migration of Virtual Network
Functions (VNFs) into multi-tenant datacenters, lowering the barrier for the introduction of …

Drl-deploy: adaptive service function chains deployment with deep reinforcement learning

X Wei, Y Sheng, L Li, C Zhou - 2021 IEEE Intl Conf on Parallel …, 2021 - ieeexplore.ieee.org
With the development of software-defined networking (SDN) and network function
virtualization (NFV), the service function chain (SFC) has become a popular paradigm for …

Intelligent VNF orchestration and flow scheduling via model-assisted deep reinforcement learning

L Gu, D Zeng, W Li, S Guo… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Hosting virtualized network functions (VNF) has been regarded as an effective way to realize
network function virtualization (NFV). Considering the cost diversity in cloud computing, from …

A machine learning approach for service function chain embedding in cloud datacenter networks

TJ Wassing, D De Vleeschauwer… - 2021 IEEE 10th …, 2021 - ieeexplore.ieee.org
Network Functions Virtualization (NFV) is an industry effort to replace traditional hardware
middleboxes with virtualized network functions (VNFs) running on general-build hardware …

Dynamic service function chain deployment and readjustment method based on deep reinforcement learning

J Ran, W Wang, H Hu - Sensors, 2023 - mdpi.com
With the advent of Software Defined Network (SDN) and Network Functions Virtualization
(NFV), network operators can offer Service Function Chain (SFC) flexibly to accommodate …

Dynamic service function chain embedding for NFV-enabled IoT: A deep reinforcement learning approach

X Fu, FR Yu, J Wang, Q Qi, J Liao - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The Internet of things (IoT) is becoming more and more flexible and economical with the
advancement in information and communication technologies. However, IoT networks will …

GCN-TD: A learning-based approach for service function chain deployment on the fly

P Pan, Q Fan, S Wang, X Li, J Li… - GLOBECOM 2020-2020 …, 2020 - ieeexplore.ieee.org
Network function virtualization (NFV) has emerged as a promising paradigm for transforming
network functions from dedicated hardware to software middleboxes, which can …

NFVdeep: Adaptive online service function chain deployment with deep reinforcement learning

Y Xiao, Q Zhang, F Liu, J Wang, M Zhao… - Proceedings of the …, 2019 - dl.acm.org
With the evolution of network function virtualization (NFV), diverse network services can be
flexibly offered as service function chains (SFCs) consisted of different virtual network …