Proactive and AoI-aware failure recovery for stateful NFV-enabled zero-touch 6G networks: Model-free DRL approach
In this paper, we propose a Zero-Touch, deep reinforcement learning (DRL)-based
Proactive Failure Recovery framework called ZT-PFR for stateful network function …
Proactive Failure Recovery framework called ZT-PFR for stateful network function …
Dynamic service function chain orchestration for NFV/MEC-enabled IoT networks: A deep reinforcement learning approach
Y Liu, H Lu, X Li, Y Zhang, L Xi… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Network function virtualization (NFV) and mobile-edge computing (MEC) have been
introduced by Internet service providers (ISPs) to deal with various challenges, which hinder …
introduced by Internet service providers (ISPs) to deal with various challenges, which hinder …
Age of information aware VNF scheduling in industrial IoT using deep reinforcement learning
In delay-sensitive industrial Internet of Things (IIoT) applications, the age of information (AoI)
is employed to characterize the freshness of information. Meanwhile, the emerging network …
is employed to characterize the freshness of information. Meanwhile, the emerging network …
Deep Reinforcement Learning-Based SFC Deployment Scheme for 6G IoT Scenario
S Long, B Liu, H Gao, X Su, X Xu - 2023 IEEE Symposium on …, 2023 - ieeexplore.ieee.org
To meet the extremely low latency requirements of 6G Internet of Things (IoT) services, 6G
network should be able to intelligently allocate the network resources. Based on Mobile …
network should be able to intelligently allocate the network resources. Based on Mobile …
Downtime-aware o-ran vnf deployment strategy for optimized self-healing in the o-cloud
Due to the huge surge in the traffic of IoT devices and applications, mobile networks require
a new paradigm shift to handle such demand roll out. With the 5G economics, those …
a new paradigm shift to handle such demand roll out. With the 5G economics, those …
Proactive failure recovery for stateful NFV
Z Huang, H Huang - 2020 IEEE 26th International Conference …, 2020 - ieeexplore.ieee.org
Network Function Virtualization (NFV) technology is viewed as a significant component of
both the fifth-generation (5G) communication networks and edge computing. In this paper …
both the fifth-generation (5G) communication networks and edge computing. In this paper …
A deep reinforcement learning-based algorithm for reliability-aware multi-domain service deployment in smart ecosystems
The transition towards full network virtualization will see services for smart ecosystems
including smart metering, healthcare and transportation among others, being deployed as …
including smart metering, healthcare and transportation among others, being deployed as …
Explainable and Transferable Loss Meta-Learning for Zero-Touch Anticipatory Network Management
A Collet, A Bazco-Nogueras… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Zero-touch network management is one of the most ambitious yet strongly required
paradigms for beyond 5G and 6G mobile communication systems. Achieving full automation …
paradigms for beyond 5G and 6G mobile communication systems. Achieving full automation …
Vertical Split Learning-Based Identification and Explainable Deep Learning-Based Localization of Failures in Multi-Domain NFV Systems
Automated failure management in Network Function Virtualization (NFV) systems continues
to gain significant attention as it allows identifying and mitigating failures in a timely manner …
to gain significant attention as it allows identifying and mitigating failures in a timely manner …
Towards reliability-enhanced, delay-guaranteed dynamic network slicing: A multi-agent DQN approach with an action space reduction strategy
W Wang, L Tang, T Liu, X He, C Liang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Network availability and service continuity are major concerns for network operators to
provide reliable communication services for Internet of Things (IoT), which are particularly …
provide reliable communication services for Internet of Things (IoT), which are particularly …