Machine Learning for Service Migration: A Survey

N Toumi, M Bagaa, A Ksentini - IEEE Communications Surveys …, 2023 - ieeexplore.ieee.org
Future communication networks are envisioned to satisfy increasingly granular and dynamic
requirements to accommodate the application and user demands. Indeed, novel immersive …

Towards cost-effective and robust AI microservice deployment in edge computing environments

C Wu, Q Peng, Y Xia, Y Jin, Z Hu - Future Generation Computer Systems, 2023 - Elsevier
As a newly emerged promising computing paradigm, Multi-access Edge Computing (MEC)
is capable of energizing massive Internet-of-Things (IoT) devices around us and novel …

Quality of Things' Experience for 6G Artificial Intelligent Internet of Things with IEEE P2668

HR Chi, A Radwan - IEEE Communications Magazine, 2023 - ieeexplore.ieee.org
Beyond-5G, towards the next generation (ie, 6G), inspiring plenty of emerging use cases
and business models, demands new evaluation for enormously evolving performance …

Efficiency of distributed selection of edge or cloud servers under latency constraints

V Mancuso, L Badia, P Castagno… - 2023 21st …, 2023 - ieeexplore.ieee.org
We consider a set of network users (nodes) that generate latency-constrained service
requests requiring the execution of computing tasks on servers located either in the cloud or …

Effectiveness of distributed stateless network server selection under strict latency constraints

V Mancuso, L Badia, P Castagno, M Sereno… - Computer Networks, 2024 - Elsevier
We consider a set of network users (nodes), each generating latency-constrained service
requests corresponding to the execution of computational tasks on servers positioned either …

5g-edge relocator: a framework for application relocation in edge-enabled 5g system

G Panek, P Matysiak, NE Nouar… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
The convergence of 5G and Edge computing is fostering the development of innovative use
cases making the dream of a fully connected, intelligent digital world almost true. However …

DISCO: Achieving Low Latency and High Reliability in Scheduling of Graph-Structured Tasks over Mobile Vehicular Cloud

M Liwang, B Guo, Z Ma, Y Su, S Hosseinalipour… - arXiv preprint arXiv …, 2023 - arxiv.org
To effectively process data across a fleet of dynamic and distributed vehicles, it is crucial to
implement resource provisioning techniques that provide reliable, cost-effective, and real …

RL-Edge Relocator: a Reinforcement Learning based approach for Application Relocation in Edge-enabled 5G System

G Panek, NE Nouar, I Fajjari… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
The convergence of 5G and Edge computing has revolutionized the technology landscape,
ushering in a new era of innovative use cases and accelerating the realization of an …

Application of UPF disaster tolerant networking in power private network

H Xie, S Du, Q Zhang, Y Yang… - 2023 IEEE 6th …, 2023 - ieeexplore.ieee.org
The private 5G has developed rapidly in recent years. For scenarios with high reliability
requirements, the dual UPF disaster recovery scheme is generally deployed to improve the …

[PDF][PDF] A Study on the Implementation of a Network Function for Real-time False Base Station Detection for the Next Generation Mobile Communication Environment

D Son, Y Park, B Kim, I You - jowua.com
The threat posed by false base stations remains pertinent across the 4G, 5G, and
forthcoming 6G generations of mobile communication. In response, this paper introduces a …