Virtual network function embedding under nodal outage using reinforcement learning
With the emergence of various types of applications such as delay-sensitive applications,
future communication networks are expected to be increasingly complex and dynamic …
future communication networks are expected to be increasingly complex and dynamic …
Virtual network function embedding under nodal outage using deep Q-learning
With the emergence of various types of applications such as delay-sensitive applications,
future communication networks are expected to be increasingly complex and dynamic …
future communication networks are expected to be increasingly complex and dynamic …
Multi-domain non-cooperative VNF-FG embedding: A deep reinforcement learning approach
Network Function Virtualization (NFV) and service orchestration simplify the deployment and
management of network and telecommunication services. The deployment of these services …
management of network and telecommunication services. The deployment of these services …
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 …
[HTML][HTML] Edge intelligence for service function chain deployment in NFV-enabled networks
MA Khoshkholghi, T Mahmoodi - Computer Networks, 2022 - Elsevier
With evolution of network function virtualization (NFV), network services can be provided as
service function chains (SCs), each consisting of multiple virtual network functions (VNFs) …
service function chains (SCs), each consisting of multiple virtual network functions (VNFs) …
Multi-domain non-cooperative VNF-FG embedding: A deep reinforcement learning approach
Network Function Virtualization (NFV) and service orchestration simplify the deployment and
management of network and telecommunication services. The deployment of these services …
management of network and telecommunication services. The deployment of these services …
Deep reinforcement learning for demand-aware joint VNF placement-and-routing
One main challenge facing the deployment of the network function virtualization is the
resource allocation on demand. As the primary stage of the resource allocation, the effective …
resource allocation on demand. As the primary stage of the resource allocation, the effective …
Deep reinforcement learning for dynamic reliability aware NFV-based service provisioning
HR Khezri, PA Moghadam… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Network function virtualization (NFV) is referred to the technology in which softwarized
network functions virtually run on commodity servers. Such functions are called virtual …
network functions virtually run on commodity servers. Such functions are called virtual …
Unlocking Reconfigurability for Deep Reinforcement Learning in SFC Provisioning
Network function virtualization (NFV) is a key foundational technology for 5G and beyond
networks, wherein to offer network services, execution of Virtual Network Functions (VNFs) …
networks, wherein to offer network services, execution of Virtual Network Functions (VNFs) …
Graph neural network-based virtual network function deployment prediction
Software-Defined Networking (SDN) and Network Function Virtualization (NFV) help reduce
OPEX and CAPEX as well as increase network flexibility and agility. But at the same time …
OPEX and CAPEX as well as increase network flexibility and agility. But at the same time …