Extendable NFV-integrated control method using reinforcement learning
A Suzuki, R Kawahara, M Kobayashi… - IEICE Transactions …, 2020 - search.ieice.org
Network functions virtualization (NFV) enables telecommunications service providers to
realize various network services by flexibly combining multiple virtual network functions …
realize various network services by flexibly combining multiple virtual network functions …
Optimal resource allocation in sdn/nfv-enabled networks via deep reinforcement learning
Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) are two
emerging paradigms that enable the feasible and scalable deployment of Virtual Network …
emerging paradigms that enable the feasible and scalable deployment of Virtual Network …
Resource fragmentation-aware embedding in dynamic network virtualization environments
H Lu, F Zhang - IEEE Transactions on Network and Service …, 2022 - ieeexplore.ieee.org
In network virtualization environments, with random arrival and departure of virtual network
requests, there exist some resources (ie, link resources and node resources) isolated from …
requests, there exist some resources (ie, link resources and node resources) isolated from …
Dynamic embedding and quality of service-driven adjustment for cloud networks
Cloud computing built on virtualization technologies can provide Internet service providers
(SPs) with elastic virtualized node and link resources. SPs can outsource their virtualized …
(SPs) with elastic virtualized node and link resources. SPs can outsource their virtualized …
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 …
Intelligent VNF orchestration and flow scheduling via model-assisted deep reinforcement learning
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 …
network function virtualization (NFV). Considering the cost diversity in cloud computing, from …
Topology based reliable virtual network embedding from a QoE perspective
In the network virtualization environments, one of the most challenges is how to map the
virtual networks (VNs) onto a shared substrate network managed by an infrastructure …
virtual networks (VNs) onto a shared substrate network managed by an infrastructure …
Design and evaluation of algorithms for mapping and scheduling of virtual network functions
R Mijumbi, J Serrat, JL Gorricho… - Proceedings of the …, 2015 - ieeexplore.ieee.org
Network function virtualization has received attention from both academia and industry as an
important shift in the deployment of telecommunication networks and services. It is being …
important shift in the deployment of telecommunication networks and services. It is being …
Memetic multi-objective particle swarm optimization-based energy-aware virtual network embedding
AA Shahin - arXiv preprint arXiv:1504.06855, 2015 - arxiv.org
In cloud infrastructure, accommodating multiple virtual networks on a single physical
network reduces power consumed by physical resources and minimizes cost of operating …
network reduces power consumed by physical resources and minimizes cost of operating …
A novel reinforcement learning algorithm for virtual network embedding
Network virtualization enables the share of a physical network among multiple virtual
networks. Virtual network embedding determines the effectiveness of utilization of network …
networks. Virtual network embedding determines the effectiveness of utilization of network …