Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services

M Xu, H Du, D Niyato, J Kang, Z Xiong… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating,
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …

[HTML][HTML] Edge AI: a survey

R Singh, SS Gill - Internet of Things and Cyber-Physical Systems, 2023 - Elsevier
Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …

Orchestration in fog computing: A comprehensive survey

B Costa, J Bachiega Jr, LR De Carvalho… - ACM Computing …, 2022 - dl.acm.org
Fog computing is a paradigm that brings computational resources and services to the
network edge in the vicinity of user devices, lowering latency and connecting with cloud …

Hybrid particle filter–particle swarm optimization algorithm and application to fuzzy controlled servo systems

C Pozna, RE Precup, E Horváth… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article presents a hybrid metaheuristic optimization algorithm that combines particle
filter (PF) and particle swarm optimization (PSO) algorithms. The new PF–PSO algorithm …

Influences of artificial intelligence and blockchain technology on financial resilience of supply chains

S Gupta, S Modgil, TM Choi, A Kumar… - International Journal of …, 2023 - Elsevier
Emerging technologies, such as artificial intelligence (AI) and blockchain technology (BT),
have revolutionized the way businesses are managed nowadays, whereas the focus on …

Online distributed offloading and computing resource management with energy harvesting for heterogeneous MEC-enabled IoT

S Xia, Z Yao, Y Li, S Mao - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
With the rapid development and convergence of the mobile Internet and the Internet of
Things (IoT), computing-intensive and delay-sensitive IoT applications (APPs) are …

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 …

A taxonomy and survey of edge cloud computing for intelligent transportation systems and connected vehicles

P Arthurs, L Gillam, P Krause, N Wang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Recent advances in smart connected vehicles and Intelligent Transportation Systems (ITS)
are based upon the capture and processing of large amounts of sensor data. Modern …

A survey on end-edge-cloud orchestrated network computing paradigms: Transparent computing, mobile edge computing, fog computing, and cloudlet

J Ren, D Zhang, S He, Y Zhang, T Li - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Sending data to the cloud for analysis was a prominent trend during the past decades,
driving cloud computing as a dominant computing paradigm. However, the dramatically …

[HTML][HTML] All one needs to know about fog computing and related edge computing paradigms: A complete survey

A Yousefpour, C Fung, T Nguyen, K Kadiyala… - Journal of Systems …, 2019 - Elsevier
Abstract With the Internet of Things (IoT) becoming part of our daily life and our environment,
we expect rapid growth in the number of connected devices. IoT is expected to connect …