Balancing QoS and security in the edge: Existing practices, challenges, and 6G opportunities with machine learning
While the emerging 6G networks are anticipated to meet the high-end service quality
demands of the mobile edge users in terms of data rate and delay satisfaction, new attack …
demands of the mobile edge users in terms of data rate and delay satisfaction, new attack …
From cyber–physical convergence to digital twins: A review on edge computing use case designs
MC Hlophe, BT Maharaj - Applied Sciences, 2023 - mdpi.com
As a result of the new telecommunication ecosystem landscape, wireless communication
has become an interdisciplinary field whose future is shaped by several interacting …
has become an interdisciplinary field whose future is shaped by several interacting …
Digital twin driven service self-healing with graph neural networks in 6g edge networks
6G edge networks strive to offer ubiquitous intelligent services, requiring a greater emphasis
on network stability and reliability. However, current networks present a low automation …
on network stability and reliability. However, current networks present a low automation …
Intelligent-slicing: An AI-assisted network slicing framework for 5G-and-beyond networks
AA Abdellatif, A Abo-Eleneen… - … on Network and …, 2023 - ieeexplore.ieee.org
5G-and-beyond networks are designed to fulfill the communication and computation
requirements of various industries, which requires not only transporting the data, but also …
requirements of various industries, which requires not only transporting the data, but also …
5G infrastructure network slicing: E2E mean delay model and effectiveness assessment to reduce downtimes in industry 4.0
L Chinchilla-Romero, J Prados-Garzon, P Ameigeiras… - Sensors, 2021 - mdpi.com
Fifth Generation (5G) is expected to meet stringent performance network requisites of the
Industry 4.0. Moreover, its built-in network slicing capabilities allow for the support of the …
Industry 4.0. Moreover, its built-in network slicing capabilities allow for the support of the …
Optimization of flow allocation in asynchronous deterministic 5G transport networks by leveraging data analytics
J Prados-Garzon, T Taleb… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Time-Sensitive Networking (TSN) and Deterministic Networking (DetNet) technologies are
increasingly recognized as key levers of the future 5G transport networks (TNs) due to their …
increasingly recognized as key levers of the future 5G transport networks (TNs) due to their …
Minimizing intersection waiting time: Proposal of a queue network model using Kendall's notation in Panama city
The paper presents a proposed queuing model based on Kendall's notation for the
intersection of two streets in Panama City (53 East and 56 East). The proposed model is …
intersection of two streets in Panama City (53 East and 56 East). The proposed model is …
End-to-end delay guaranteed Service Function Chain deployment: A multi-level mapping approach
F Yaghoubpour, B Bakhshi, F Seifi - Computer Communications, 2022 - Elsevier
Abstract Network Function Virtualization (NFV) enables service providers to maximize the
business profit via resource-efficient QoS provisioning for customer requested Service …
business profit via resource-efficient QoS provisioning for customer requested Service …
Content caching-enhanced computation offloading in mobile edge service networks
Cache enhanced computation offloading as a novel offloading paradigm in mobile edge
computing (MEC) can reduce more task execution latency than traditional computation …
computing (MEC) can reduce more task execution latency than traditional computation …
Analytical model for task offloading in a fog computing system with batch-size-dependent service
Task offloading is one of the main concepts in fog computing which improves the system
efficiency and decreases latency. Previously proposed models, such as exponential queue …
efficiency and decreases latency. Previously proposed models, such as exponential queue …