Machine learning methods for reliable resource provisioning in edge-cloud computing: A survey
Large-scale software systems are currently designed as distributed entities and deployed in
cloud data centers. To overcome the limitations inherent to this type of deployment …
cloud data centers. To overcome the limitations inherent to this type of deployment …
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) …
Virtual network function migration based on dynamic resource requirements prediction
L Tang, X He, P Zhao, G Zhao, Y Zhou, Q Chen - IEEE Access, 2019 - ieeexplore.ieee.org
Network function virtualization (NFV) enables flexible deployment of virtual network function
(VNF) in 5G mobile communication network. Due to the inherent dynamics of network flows …
(VNF) in 5G mobile communication network. Due to the inherent dynamics of network flows …
Adding support for automatic enforcement of security policies in NFV networks
This paper introduces an approach toward the automatic enforcement of security policies in
network functions virtualization (NFV) networks and dynamic adaptation to network changes …
network functions virtualization (NFV) networks and dynamic adaptation to network changes …
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 …
Predicting vnf deployment decisions under dynamically changing network conditions
In addition to providing network operators with benefits in terms of flexibility and cost
efficiency, softwarization paradigms like SDN and NFV are key enablers for the concept of …
efficiency, softwarization paradigms like SDN and NFV are key enablers for the concept of …
Traffic-profile and machine learning based regional data center design and operation for 5G network
Data center in the fifth generation (5G) network will serve as a facilitator to move the wireless
communication industry from a proprietary hardware based approach to a more software …
communication industry from a proprietary hardware based approach to a more software …
Machine learning-based prediction of VNF deployment decisions in dynamic networks
In addition to providing network operators with benefits in terms of flexibility and cost
efficiency, softwarization paradigms like SDN and NFV are key enablers for the concept of …
efficiency, softwarization paradigms like SDN and NFV are key enablers for the concept of …