A Comprehensive Review of AI Techniques for Resource Management in Fog Computing: Trends, Challenges and Future Directions
D Alsadie - IEEE Access, 2024 - ieeexplore.ieee.org
Fog computing (FC), extending cloud services to the network edge, has emerged as a key
paradigm for low-latency applications like the Internet of Things (IoT). However, efficient …
paradigm for low-latency applications like the Internet of Things (IoT). However, efficient …
A comprehensive review on internet of things task offloading in multi-access edge computing
With the rapid development of Internet of Things (IoT) technology, Terminal Devices (TDs)
are more inclined to offload computing tasks to higher-performance computing servers …
are more inclined to offload computing tasks to higher-performance computing servers …
A novel offloading strategy for multi-user optimization in blockchain-enabled Mobile Edge Computing networks for improved Internet of Things performance
AM Rahmani, J Tanveer, FS Gharehchopogh… - Computers and …, 2024 - Elsevier
As blockchain technology merges with Mobile Edge Computing (MEC) and the Internet of
Things (IoT), we encounter increasing challenges such as high energy consumption and …
Things (IoT), we encounter increasing challenges such as high energy consumption and …
FedTO: Mobile-aware task offloading in multi-base station collaborative MEC
With the proliferation of the Internet of Things (IoT), mobile edge computing (MEC) has great
potential to achieve low latency, high reliability, and low energy consumption. However, in …
potential to achieve low latency, high reliability, and low energy consumption. However, in …
Deadline‐cost aware task scheduling algorithm in fog computing networks
S Sultan Hajam - International Journal of Communication …, 2024 - Wiley Online Library
Summary The Internet of Things (IoT) has provided us with various applications that need
processing in real‐time. Fog computing has arisen as a highly effective computing paradigm …
processing in real‐time. Fog computing has arisen as a highly effective computing paradigm …
An advanced deep reinforcement learning algorithm for three-layer D2D-edge-cloud computing architecture for efficient task offloading in the Internet of Things
Abstract The Internet of Things (IoTs) has transformed the digital landscape by
interconnecting billions of devices worldwide, paving the way for smart cities, homes, and …
interconnecting billions of devices worldwide, paving the way for smart cities, homes, and …
A Comprehensive review on technological breakthroughs in precision agriculture: IoT and emerging data analytics
Rapid population expansion has led to a corresponding rise in the demand for sustenance.
Researchers have found that traditional agricultural practices are insufficient to meet the …
Researchers have found that traditional agricultural practices are insufficient to meet the …
Machine Learning Based Performance Prediction for CDN Cache Groups in Meta Computing
Meta computing, as an innovative computing paradigm, aims to transform the Internet into a
vast and distributed computing resource pool. This paradigm holds significant promise for …
vast and distributed computing resource pool. This paradigm holds significant promise for …
Q-IoT: QoS Aware Multi-Layer Service Architecture for Multi-Class IoT Data Traffic Management
KC Serdaroglu, S Baydere… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
In the realm of Internet of Things (IoT) architectures where diversified services exist, latency
related network challenges remain as critical problems in cloud based systems. To address …
related network challenges remain as critical problems in cloud based systems. To address …
[HTML][HTML] Unsupervised machine learning approach for tailoring educational content to individual student weaknesses
SI Rahman, S Ahmed, TA Fariha, A Mohammad… - High-Confidence …, 2024 - Elsevier
By analyzing data gathered through Online Learning (OL) systems, data mining can be used
to unearth hidden relationships between topics and trends in student performance. Here, in …
to unearth hidden relationships between topics and trends in student performance. Here, in …