A comprehensive review on Internet of Things application placement in Fog computing environment

HK Apat, R Nayak, B Sahoo - Internet of Things, 2023 - Elsevier
With the rise in Internet of Things (IoT) technology in recent years the amount of resource
requirement of various IoT applications substantially increases. The data generated by …

Fog Offloading and Task Management in IoT-Fog-Cloud Environment: Review of Algorithms, Networks and SDN Application.

MR Rezaee, NAWA Hamid, M Hussin… - IEEE Access, 2024 - ieeexplore.ieee.org
The proliferation of Internet of Things (IoT) devices and other IT forms in almost every area of
human existence has resulted in an enormous influx of data that must be managed and …

Dynamic offloading technique for real-time edge-to-cloud computing in heterogeneous MEC–MCC and IoT devices

S Khan, J Zheng, S Khan, Z Masood, MP Akhter - Internet of Things, 2023 - Elsevier
In the realm of Mobile Cloud Computing (MCC), where mobile environments converge with
cloud capabilities to address challenges related to performance, environmental …

Road to efficiency: Mobility-driven joint task offloading and resource utilization protocol for connected vehicle networks

O Akyıldız, FY Okay, İ Kök, S Özdemir - Future Generation Computer …, 2024 - Elsevier
Abstract Connected Vehicle Networks (CVNs) is an emerging technology that enables
vehicles to communicate with each other and with various Internet of Things (IoT) devices of …

A metaheuristic-based task offloading scheme with a trade-off between delay and resource utilization in IoT platform

N Kumari, PK Jana - Cluster Computing, 2023 - Springer
Fog computing has emerged as the most popular technology for processing delay-sensitive
tasks in the Internet of Things platform. However, offloading tasks to suitable fog nodes (FNs) …

[HTML][HTML] The Evolution of Intelligent Transportation Systems: Analyzing the Differences and Similarities between IoV and IoFV

D Herich, J Vaščák - Drones, 2024 - mdpi.com
The Internet of Vehicles (IoV) and the Internet of Flying Vehicles (IoFV) are integral
components of intelligent transportation systems with the potential to revolutionize the way …

NeuroEvolution-based hyperparameter tuning for reinforcement learning in SDN computation offloading

In this study, the application of NeuroEvolution-based hyperparameter tuning for
reinforcement learning algorithms in the context of Software-Defined Networking (SDN) …