[HTML][HTML] A survey on IoT-edge-cloud continuum systems: Status, challenges, use cases, and open issues

P Gkonis, A Giannopoulos, P Trakadas, X Masip-Bruin… - Future Internet, 2023 - mdpi.com
The rapid growth in the number of interconnected devices on the Internet (referred to as the
Internet of Things—IoT), along with the huge volume of data that are exchanged and …

IEEE P1935 Edge/Fog Manageability and Orchestration: Standard and Usage Example

TY Chen, Y Chiang, JH Wu, HT Chen… - … Conference on Edge …, 2023 - ieeexplore.ieee.org
With the innovation of mobile applications and the arrival of the fifth generation of
telecommunication, edge computing has become a popular scheme due to its geographical …

Artificial Intelligence-Defined Wireless Networking for Computational Offloading and Resource Allocation in Edge Computing Networks

SDA Shah, M Gregory, F Bouhafs… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
The advent of the Internet of Everything and new Ultra-Reliable Low-Latency
Communication (URLLC) services has resulted in an exponential growth in data demands at …

CPU-GPU Heterogeneous Computation Offloading and Resource Allocation Scheme for Industrial Internet of Things

Z He, Y Sun, B Wang, S Li… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The computing process of tasks in Industrial Internet of Things (IIoT) environments is
becoming increasingly complex due to the development of 5G and artificial intelligence …

Intelligent Computation Offloading Based on Digital Twin-Enabled 6G Industrial IoT

J Wu, R Zuo - Applied Sciences, 2024 - mdpi.com
Digital twin (DT) technology, which can provide larger and more accurate amounts of data,
combined with the additional computility brought by virtual environments, can support more …

Multi-Service Edge Computing Management With Multi-Stage Coalition Game Task Offloading

CC Lin, Y Chiang, HY Wei - IEEE Transactions on Network and …, 2024 - ieeexplore.ieee.org
The advent of 5G-enabled edge servers presents an opportunity to distribute computational
tasks to the network edge. This approach helps alleviate the strain on limited central network …

Edge Computing Resource Management for Cross-Camera Video Analytics: Workload and Model Adaptation

HT Chen, Y Chiang, HY Wei - IEEE Access, 2024 - ieeexplore.ieee.org
Multi-camera systems are now widely employed across numerous domains. The
exponential growth of deep learning has simplified the implementation of advanced video …

EdgeGAN: Enhancing Sleep Quality Monitoring in Medical IoT Through Generative AI at the Edge

K Peng, H He, J Liu, T Li, S Hou… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
In light of the brisk tempo characterizing contemporary lifestyles and the escalating burden
of diverse stressors, the decline in the quality of individuals' sleep has emerged as a …

A Comparative Analysis of Machine Learning Techniques for Enhanced Resource Management in Multi-Access Edge Computing

L Vinhal, R Moreira, FDO Silva - 2023 IEEE 9th World Forum on …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) merges physical and virtual realms, whereas Mobile Access
Edge Computing (MEC) facilitates various IoT applications in this context. Machine Learning …

A Model-Based Approach to Automotive Feature Development for Updates and Upgrades

M Schindewolf, JW Wittler, T Kühn… - … on Service-Oriented …, 2023 - ieeexplore.ieee.org
The automotive industry faces challenges due to the increasing demand for customization
and individualization by consumers. With a wide range of equipment levels and feature …