Digital twin-assisted service function chaining in multi-domain computing power networks with multi-agent reinforcement learning
K Wang, P Yuan, MA Jan, F Khan, TR Gadekallu… - Future Generation …, 2024 - Elsevier
The emerging computing power network (CPN) is believed to undergo the paradigm
reformation of network function virtualization (NFV) and service function chaining (SFC). It is …
reformation of network function virtualization (NFV) and service function chaining (SFC). It is …
Deep reinforcement learning for resource demand prediction and virtual function network migration in digital twin network
Q Liu, L Tang, T Wu, Q Chen - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) enables intelligent services varying with the complex and
realtime environment to achieve network benefits, where network function virtualization …
realtime environment to achieve network benefits, where network function virtualization …
[HTML][HTML] VNF Migration in Digital Twin Network for NFV Environment
Y Hu, G Min, J Li, Z Li, Z Cai, J Zhang - Electronics, 2023 - mdpi.com
Network Function Virtualization (NFV) allows for the dynamic provisioning of Virtual Network
Functions (VNFs), adapting services to the complex and dynamic network environment to …
Functions (VNFs), adapting services to the complex and dynamic network environment to …
Energy-efficient VNF deployment for graph-structured SFC based on graph neural network and constrained deep reinforcement learning
QI Siyu, LI Shuopeng, LIN Shaofu… - 2021 22nd Asia …, 2021 - ieeexplore.ieee.org
Network Function Virtualization (NFV), which decouples network functions from hardware
and transforms them into hardware-independent Virtual Network Functions (VNF), is a …
and transforms them into hardware-independent Virtual Network Functions (VNF), is a …
GCN-TD: A learning-based approach for service function chain deployment on the fly
Network function virtualization (NFV) has emerged as a promising paradigm for transforming
network functions from dedicated hardware to software middleboxes, which can …
network functions from dedicated hardware to software middleboxes, which can …
A deep Q-learning based VNF migration strategy for elastic control in SDN/NFV network
H Liu, J Chen, J Chen, X Cheng… - … and Smart Grid …, 2021 - ieeexplore.ieee.org
Network functions virtualization (NFV) solves the problem of tight coupling between network
functions and hardware. While the Service Function Chaining (SFC) is the basic business …
functions and hardware. While the Service Function Chaining (SFC) is the basic business …
Joint service function chain embedding and routing in cloud-based nfv: A deep q-learning based approach
By interacting with the environment through trial and error, a deep reinforcement learning
(DRL)-based controller is able to learn the patterns underlying a highly dynamic …
(DRL)-based controller is able to learn the patterns underlying a highly dynamic …
Service Function Chain Deployment Using Deep Q Learning and Tidal Mechanism
With the rapid development of software-defined networking/network function virtualization
(NFV) technologies, service function chaining (SFC) has become a key enabler for end-to …
(NFV) technologies, service function chaining (SFC) has become a key enabler for end-to …
A Two-Stage GCN-Based Deep Reinforcement Learning Framework for SFC Embedding in Multi-Datacenter Networks
Network Function Virtualization (NFV), which decouples network functions from hardware
and transforms them into Virtual Network Functions (VNFs), is a crucial technology for data …
and transforms them into Virtual Network Functions (VNFs), is a crucial technology for data …
Dynamic Joint VNF Forwarding Graph Composition and Embedding: A Deep Reinforcement Learning Framework
S Malektaji, M Rayani, A Ebrahimzadeh… - … on Network and …, 2023 - ieeexplore.ieee.org
Network Function Virtualization (NFV) is a network service deployment technology that
reduces capital and operational costs while yielding flexibility and scalability for service …
reduces capital and operational costs while yielding flexibility and scalability for service …