[HTML][HTML] Edge Computing and Cloud Computing for Internet of Things: A Review
FC Andriulo, M Fiore, M Mongiello, E Traversa, V Zizzo - Informatics, 2024 - mdpi.com
The rapid expansion of the Internet of Things ecosystem has created an urgent need for
efficient data processing and analysis technologies. This review aims to systematically …
efficient data processing and analysis technologies. This review aims to systematically …
Efficient consensus algorithm based on improved DPoS in UAV-assisted mobile edge computing
M Song, C Li, J Ye, X Gong, Y Luo - Computer Communications, 2023 - Elsevier
Aiming at the problems of low decentralization, low motivation for node voting, and malicious
behavior of nodes for the traditional DPoS consensus mechanism in the blockchain-based …
behavior of nodes for the traditional DPoS consensus mechanism in the blockchain-based …
TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge Networks
Next-generation mobile networks are expected to facilitate fast AI model downloading to end
users. By caching models on edge servers, mobile networks can deliver models to end …
users. By caching models on edge servers, mobile networks can deliver models to end …
A data-driven model for power system operating costs based on different types of wind power fluctuations
The stochastic and intermittent features of wind power as well as the high percentage of
wind power grid-connected significantly increase the additional operating costs of the power …
wind power grid-connected significantly increase the additional operating costs of the power …
AI empowered data offloading in MEC enabled UAV networks
N Maatouk, AB Letaifa, A Rachedi - Multimedia Tools and Applications, 2024 - Springer
Abstract Mobile Edge Computing (MEC) has become a critical paradigm. It extends
traditional cloud com-puting capabilities by moving computation and storage closer to the …
traditional cloud com-puting capabilities by moving computation and storage closer to the …
[PDF][PDF] Performance and Energy Tradeoff Analysis of CNN Offloading to the Edge and Cloud Computing
Nowadays, Machine Learning (ML) achieves incredible results in almost all areas of
everyday life, like object recognition or natural language processing. As a result, more and …
everyday life, like object recognition or natural language processing. As a result, more and …
TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading
Next-generation mobile networks are expected to facilitate fast AI model downloading to end
users. By caching models on edge servers, mobile networks can deliver models to end …
users. By caching models on edge servers, mobile networks can deliver models to end …
Towards sustainable artificial intelligence systems: enhanced system design with machine learning based design techniques
C Metz - 2024 - media.suub.uni-bremen.de
Efficient and timely calculations of Machine Learning (ML) algorithms are crucial for
emerging technologies like autonomous driving, the Internet of Things (IoT), and edge …
emerging technologies like autonomous driving, the Internet of Things (IoT), and edge …
[PDF][PDF] Diseño y desarrollo de un monocóptero con algoritmo de control óptimo para aumentar su autonomía, capacidad de carga y estabilidad en aplicaciones de …
LR Quispe Cardenas, DS Torres Torres - 2024 - repositorio.unsa.edu.pe
UNIVERSIDAD NACIONAL DE SAN AGUSTÍN DE AREQUIPA Page 1 UNIVERSIDAD
NACIONAL DE SAN AGUSTÍN DE AREQUIPA FACULTAD DE INGENIERÍA DE PRODUCCIÓN …
NACIONAL DE SAN AGUSTÍN DE AREQUIPA FACULTAD DE INGENIERÍA DE PRODUCCIÓN …