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 …
Deep reinforcement learning for topology-aware VNF resource prediction in NFV environments
Network Function Virtualisation (NFV) has emerged as a key paradigm in network
softwarisation, enabling virtualisation in future generation networks. Once deployed, the …
softwarisation, enabling virtualisation in future generation networks. Once deployed, the …
Machine learning-driven scaling and placement of virtual network functions at the network edges
T Subramanya, R Riggio - 2019 IEEE Conference on network …, 2019 - ieeexplore.ieee.org
Network Function Virtualization is a promising technology that proposes to decouple the
network functions from their underlying hardware and transform them into software entities …
network functions from their underlying hardware and transform them into software entities …
A network intelligence architecture for efficient vnf lifecycle management
Network softwarization paradigms such as SDN and NFV provide network operators with
advantages in terms of scalability, cost and resource efficiency, as well as flexibility …
advantages in terms of scalability, cost and resource efficiency, as well as flexibility …
Automated service provisioning and hierarchical SLA management in 5G systems
X Li, CF Chiasserini… - … on Network and …, 2021 - ieeexplore.ieee.org
Empowered by network softwarization, 5G systems have become the key enabler to foster
the digital transformation of the vertical industries by expanding the scope of traditional …
the digital transformation of the vertical industries by expanding the scope of traditional …
A hybrid optimization-machine learning approach for the VNF placement and chaining problem
SMA Araújo, FSH de Souza, GR Mateus - Computer Networks, 2021 - Elsevier
Abstract Virtual Network Function Placement and Chaining Problem focuses on allocation of
customers demand's on the Substrate Network. Among other factors, an optimal allocation of …
customers demand's on the Substrate Network. Among other factors, an optimal allocation of …
Extending OpenStack Monasca for Predictive Elasticity Control
Traditional auto-scaling approaches are conceived as reactive automations, typically
triggered when predefined thresholds are breached by resource consumption metrics …
triggered when predefined thresholds are breached by resource consumption metrics …
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 …
Automatic performance-optimal offloading of network functions on programmable switches
In network function virtualization (NFV), network functions (NFs) are chained as a service
function chain (SFC) to enhance NF management with low cost and high flexibility. Recent …
function chain (SFC) to enhance NF management with low cost and high flexibility. Recent …
Comparison of machine learning techniques for VNF resource requirements prediction in NFV
The network function virtualization (NFV) is a developing architecture that uses virtualization
technology to separate software from hardware. One of the most important challenges of …
technology to separate software from hardware. One of the most important challenges of …