A Graph Neural Networks based Framework for Topology-Aware Proactive SLA Management in a Latency Critical NFV Application Use-case

N Jalodia, M Taneja, A Davy - arXiv preprint arXiv:2212.00714, 2022 - arxiv.org
Recent advancements in the rollout of 5G and 6G have led to the emergence of a new range
of latency-critical applications delivered via a Network Function Virtualization (NFV) enabled …

A Deep Neural Network-Based Multi-Label Classifier for SLA Violation Prediction in a Latency Sensitive NFV Application

N Jalodia, M Taneja, A Davy - IEEE Open Journal of the …, 2021 - ieeexplore.ieee.org
Recent advancements in the domain of Network Function Virtualization (NFV), and rollout of
next-generation networks have necessitated the requirement for the upkeep of latency …

[PDF][PDF] Towards the optimal orchestration of service function chains to enable ultra-reliable low latency communication in an NFV-enabled network

S Erbati - scholar.archive.org
(URLLC) in 5G/6G networks, the Internet of Things (IoT), and fixed-line networks has
considerably increased the significance of reliability and latency requirements within the …

Towards 6g networks: Ensemble deep learning empowered vnf deployment for iot services

M Emu, S Choudhury - 2021 IEEE 18th Annual Consumer …, 2021 - ieeexplore.ieee.org
The prospective Internet of Things (IoT) vertical use cases demand latency perception,
privacy preservation, and scalability intelligence equipped Virtual Network Function (VNF) …

A deep learning based sla management for NFV-based services

J Bendriss, IGB Yahia, R Riggio… - 2018 21st Conference …, 2018 - ieeexplore.ieee.org
Network function Virtualization (NFV) is expected to accelerate service deployment and
enable service agility for Telco operators. NFV builds on virtualization technology and off-the …

Online QoS/QoE-driven SFC Orchestration Leveraging a DRL Approach in SDN/NFV Enabled Networks

M Escheikh - 2023 - researchsquare.com
The proliferation of the ever-increasing number of highly heterogeneous smart devices and
the emerging of a wide range of diverse applications in 5G mobile network ecosystems …

Proactive and AoI-aware failure recovery for stateful NFV-enabled zero-touch 6G networks: Model-free DRL approach

A Shaghaghi, A Zakeri, N Mokari… - … on Network and …, 2021 - ieeexplore.ieee.org
In this paper, we propose a Zero-Touch, deep reinforcement learning (DRL)-based
Proactive Failure Recovery framework called ZT-PFR for stateful network function …

Virtual network function embedding under nodal outage using reinforcement learning

SB Chetty, H Ahmadi, A Nag - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
With the emergence of various types of applications such as delay-sensitive applications,
future communication networks are expected to be increasingly complex and dynamic …

Dynamic resource aware VNF placement with deep reinforcement learning for 5G networks

A Dalgkitsis, PV Mekikis… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
The increasing demand for fast, reliable, and robust network services has driven the
telecommunications industry to design novel network architectures that employ Network …

Characterizing and understanding the architectural implications of cloudnative edge nfv workloads

J Wang, Y Hu - 2019 IEEE Conference on Network Function …, 2019 - ieeexplore.ieee.org
In responding to the fast-varying user service requirements and highly mixed traffics, the 5G
network exploits Network Function Virtualization (NFV) and network slicing to enhance its …