AI-empowered fog/edge resource management for IoT applications: A comprehensive review, research challenges and future perspectives
The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …
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 …
Ai-based sustainable and intelligent offloading framework for iiot in collaborative cloud-fog environments
The cloud paradigm is one of the most trending areas in today's era due to its rich profusion
of services. However, it fails to serve the latency-sensitive Industrial Internet of Things (IIoT) …
of services. However, it fails to serve the latency-sensitive Industrial Internet of Things (IIoT) …
Resource allocation of industry 4.0 micro-service applications across serverless fog federation
The Industry 4.0 revolution has been made possible via AI-based applications (eg, for
automation and maintenance) deployed on the serverless edge (aka fog) computing …
automation and maintenance) deployed on the serverless edge (aka fog) computing …
A Taxonomy towards fog computing Resource Allocation
Fog Computing is the opportunity of an exercise floor that stretches from the exterior edges
of the spot information are made to the spot it will in this manner be dealt with, whether that …
of the spot information are made to the spot it will in this manner be dealt with, whether that …
VTGAN: hybrid generative adversarial networks for cloud workload prediction
Efficient resource management approaches have become a fundamental challenge for
distributed systems, especially dynamic environment systems such as cloud computing data …
distributed systems, especially dynamic environment systems such as cloud computing data …
Intelligent and efficient task caching for mobile edge computing
A Moradi, F Rezaei - Cluster Computing, 2024 - Springer
Given the problems with a centralized cloud and the emergence of ultra-low latency
applications, and the needs of the Internet of Things (IoT), it has been found that novel …
applications, and the needs of the Internet of Things (IoT), it has been found that novel …
Multi-objective task-aware offloading and scheduling framework for internet of things logistics
IoT-based smart transportation monitors vehicles, cargo, and driver statuses for safe
movement. Due to the limited computational capabilities of the sensors, the IoT devices …
movement. Due to the limited computational capabilities of the sensors, the IoT devices …
Application-Oriented Cloud Workload Prediction: A Survey and New Perspectives
B Feng, Z Ding - Tsinghua Science and Technology, 2024 - ieeexplore.ieee.org
Workload prediction is critical in enabling proactive resource management of cloud
applications. Accurate workload prediction is valuable for cloud users and providers as it …
applications. Accurate workload prediction is valuable for cloud users and providers as it …
Resource allocation in Fog–Cloud Environments: State of the art
The rapid expansion of omnipresent phenomena, exemplified by the Internet of Things (IoT),
necessitates significant consideration of data volume and processing requirements. Cloud …
necessitates significant consideration of data volume and processing requirements. Cloud …