[HTML][HTML] Edge AI: a survey
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 …
refers to the practice of doing AI computations near the users at the network's edge, instead …
AI-based fog and edge computing: A systematic review, taxonomy and future directions
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
[HTML][HTML] Modern computing: Vision and challenges
Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …
transformations, profoundly impacting society with transformational developments, such as …
Edge learning for 6G-enabled Internet of Things: A comprehensive survey of vulnerabilities, datasets, and defenses
The deployment of the fifth-generation (5G) wireless networks in Internet of Everything (IoE)
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …
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 …
[HTML][HTML] A comprehensive survey of energy-efficient computing to enable sustainable massive IoT networks
Energy efficiency is a key area of research aimed at achieving sustainable and
environmentally friendly networks. With the rise in data traffic and network congestion, IoT …
environmentally friendly networks. With the rise in data traffic and network congestion, IoT …
A predictive energy-aware scheduling strategy for scientific workflows in fog computing
Fog computing paradigm provides diverse processing resources and storage close to the
edge of Internet of Things (IoT) networks. Workflow scheduling is an open issue in fog …
edge of Internet of Things (IoT) networks. Workflow scheduling is an open issue in fog …
An energy-efficient and deadline-aware workflow scheduling algorithm in the fog and cloud environment
Abstract The Internet of Things (IoT) is constantly evolving. The variety of IoT applications
has caused new demands to emerge on users' part and competition between computing …
has caused new demands to emerge on users' part and competition between computing …
An energy aware resource allocation based on combination of CNN and GRU for virtual machine selection
The use of cloud computing service models is rapidly increasing, but inefficient resource
usage in cloud data centers can lead to great energy consumption and costs. To address …
usage in cloud data centers can lead to great energy consumption and costs. To address …
An optimal scheduling method in IoT-fog-cloud network using combination of Aquila optimizer and African vultures optimization
Today, fog and cloud computing environments can be used to further develop the Internet of
Things (IoT). In such environments, task scheduling is very efficient for executing user …
Things (IoT). In such environments, task scheduling is very efficient for executing user …