DeepPR: Progressive recovery for interdependent VNFs with deep reinforcement learning

G Ishigaki, S Devic, R Gour… - IEEE Journal on Selected …, 2020 - ieeexplore.ieee.org
The increasing demand for diverse network services entails more flexible networks that are
realized by virtualized network equipment and functions. When such advanced network …

Service Recovery in NFV-Enabled Networks: Algorithm Design and Analysis

DHP Nguyen, CC Lin, TN Nguyen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Network function virtualization (NFV), a novel network architecture, promises to offer a lot of
convenience in network design, deployment, and management. This paradigm, although …

Network recovery from massive failures under uncertain knowledge of damages

DZ Tootaghaj, H Khamfroush, N Bartolini… - … IFIP Networking) and …, 2017 - ieeexplore.ieee.org
This paper addresses progressive network recovery under uncertain knowledge of
damages. We formulate the problem as a mixed integer linear programming (MILP), and …

Progressive recovery for network virtualization after large-scale disasters

M Pourvali, K Liang, F Gu, H Bai… - 2016 International …, 2016 - ieeexplore.ieee.org
Network virtualization allows users to build customized interconnected storage/computing
configurations for their business needs. Today this capability is being widely used to …

DQN approach for Adaptive Self-healing of VNFs in Cloud-native Network

A Arulappan, A Mahanti, K Passi… - IEEE …, 2024 - ieeexplore.ieee.org
The network transformation from physical network function to Virtual Network Function (VNF)
requires a fundamental design change in the way applications and services are tested and …

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 …

Optimal resource allocation in sdn/nfv-enabled networks via deep reinforcement learning

J Su, S Nair, L Popokh - 2022 IEEE Ninth International …, 2022 - ieeexplore.ieee.org
Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) are two
emerging paradigms that enable the feasible and scalable deployment of Virtual Network …

Resilient virtual network function allocation with diversity and fault tolerance considering dynamic requests

R Kang, F He, E Oki - NOMS 2022-2022 IEEE/IFIP Network …, 2022 - ieeexplore.ieee.org
This paper proposes an optimization model to derive a resilient virtual network function
(VNF) allocation aiming to maximize the number of accepted requests with considering VNF …

Dynamic virtual network restoration with optimal standby virtual router selection

X Liu, D Medhi - NOMS 2016-2016 IEEE/IFIP Network …, 2016 - ieeexplore.ieee.org
Fault-tolerance in a virtualized networking environment (VNE) requires additional efforts to
provide the survivability against failures on either virtual networks (VNs) or the underlying …

Modeling and analysis of robust service composition for network functions virtualization

TM Pham, S Fdida, HN Chu - Computer Networks, 2020 - Elsevier
Fault tolerance is critical for constructing a reliable service in Network Functions
Virtualization (NFV). In this paper, we propose novel models and algorithms that provide the …