Edge computing with artificial intelligence: A machine learning perspective

H Hua, Y Li, T Wang, N Dong, W Li, J Cao - ACM Computing Surveys, 2023 - dl.acm.org
Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …

A survey on computation offloading modeling for edge computing

H Lin, S Zeadally, Z Chen, H Labiod, L Wang - Journal of Network and …, 2020 - Elsevier
As a promising technology, edge computing extends computation, communication, and
storage facilities toward the edge of a network. This new computing paradigm opens up new …

Task co-offloading for D2D-assisted mobile edge computing in industrial internet of things

X Dai, Z Xiao, H Jiang, M Alazab… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) and device-to-device (D2D) offloading are two promising
paradigms in the industrial Internet of Things (IIoT). In this article, we investigate task co …

Joint task offloading and resource allocation for energy-constrained mobile edge computing

H Jiang, X Dai, Z Xiao, A Iyengar - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
We consider the problem of task offloading and resource allocation in mobile edge
computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile …

[PDF][PDF] The role of integrated structured cabling system (ISCS) for reliable bandwidth optimization in high-speed communication network

J Logeshwaran, M Ramkumar, T Kiruthiga… - ICTACT Journal on …, 2022 - ictactjournals.in
In modern companies, the functions of divisions, departments and staff are provided by
telecommunication transmitting analog and digital unit information via SCS. Such cable …

A survey of multi-access edge computing in 5G and beyond: Fundamentals, technology integration, and state-of-the-art

QV Pham, F Fang, VN Ha, MJ Piran, M Le, LB Le… - IEEE …, 2020 - ieeexplore.ieee.org
Driven by the emergence of new compute-intensive applications and the vision of the
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …

Multi-objective parallel task offloading and content caching in D2D-aided MEC networks

Z Xiao, J Shu, H Jiang, JCS Lui, G Min… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In device to device (D2D) aided mobile edge computing (MEC) networks, by implementing
content caching and D2D links, the edge server and nearby mobile devices can provide task …

Towards edge computing in intelligent manufacturing: Past, present and future

G Nain, KK Pattanaik, GK Sharma - Journal of Manufacturing Systems, 2022 - Elsevier
Abstract Industry 4.0 (I4. 0) is the fourth industrial revolution and a synonym for intelligent
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …

Differentially private asynchronous federated learning for mobile edge computing in urban informatics

Y Lu, X Huang, Y Dai, S Maharjan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Driven by technologies such as mobile edge computing and 5G, recent years have
witnessed the rapid development of urban informatics, where a large amount of data is …

Task offloading in fog computing: A survey of algorithms and optimization techniques

N Kumari, A Yadav, PK Jana - Computer Networks, 2022 - Elsevier
The exponential growth in Internet of Things (IoT) devices and the limitations of cloud
computing in terms of latency and quality of service for time-sensitive applications have led …