Edge-enhanced graph neural network for DU-CU placement and lightpath provision in X-Haul networks

R Wang, J Zhang, Z Gu, S Yan, Y Xiao… - Journal of Optical …, 2022 - opg.optica.org
The emerging mobile services have imposed several new challenges on the radio access
network (RAN), which stimulates its evolution from cloud-RAN to next-generation RAN (NG …

Toward Supporting Holographic Services Over Deterministic 6G Integrated Terrestrial and Non-Terrestrial Networks

H Yu, T Taleb, K Samdanis, JS Song - IEEE Network, 2023 - ieeexplore.ieee.org
Driven by the emerging mission-critical applications, the need for the deterministic
networking (DetNet) capabilities of the current network infrastructure is becoming …

Deep reinforcement learning-based deterministic routing and scheduling for mixed-criticality flows

H Yu, T Taleb, J Zhang - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
Deterministic networking has recently drawn much attention by investigating deterministic
flow scheduling. Combined with artificial intelligent (AI) technologies, it can be leveraged as …

Suspect fault screen assisted graph aggregation network for intra-/inter-node failure localization in ROADM-based optical networks

R Wang, J Zhang, S Yan, C Zeng, H Yu… - Journal of Optical …, 2023 - opg.optica.org
In optical networks, failure localization is essential to stable operation and service
restoration. Several approaches have been presented to achieve accurate failure …

A Review of Service Selection Strategies in Mobile IoT Networks

AM Hadjkouider, CA Kerrache, A Korichi… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
With the proliferation of service-oriented architectures, the ubiquity of mobile networks, and
an expanding spectrum of services available to users, the service selection process has …

Energy-and reliability-aware provisioning of parallelized service function chains with delay guarantees

VR Chintapalli, BR Killi, R Partani… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Network Functions Virtualization (NFV) leverages virtualization and cloud computing
technologies to make networks more flexible, manageable, and scalable. Instead of using …

QoS Implementation with Triple-Metric-Based Active Queue Management for Military Networks

G Park, B Jeon, GM Lee - Electronics, 2022 - mdpi.com
For supporting Quality of Service (QoS) in a military network, applications of the triple-metric
priority of performance, importance, and urgency as well as autonomous and lightweight …

Resource consumption and security-aware multi-tenant service function chain deployment based on hypergraph matching

J Gao, L Feng, P Yu, F Zhou, Z Wu, X Qiu, J Li, Y Zhu - Computer Networks, 2022 - Elsevier
Network function virtualization (NFV) technology enables cloud service providers (CSPs) to
deploy their service function chains (SFCs) into the common shared physical infrastructures …

DeepDefrag: spatio-temporal defragmentation of time-varying virtual networks in computing power network based on model-assisted reinforcement learning

H Ma, J Zhang, Z Gu, H Yu, T Taleb… - … European Conference On …, 2022 - ieeexplore.ieee.org
We propose DeepDefrag, a model-assisted reinforcement learning for spatio-temporal
defragmentation of time-varying virtual networks in a cross-layer optical network testbed …

Service function chains multi-resource orchestration in virtual mobile edge computing

M Laroui, HI Khedher, H Moungla, H Afifi - Computer Networks, 2023 - Elsevier
Abstract Next-Generation Networks (NGNs) provide efficient services to improve the overall
network performance, especially in Internet of Things (IoT) networks. However, service …