Offloading mechanisms based on reinforcement learning and deep learning algorithms in the fog computing environment

DH Abdulazeez, SK Askar - Ieee Access, 2023 - ieeexplore.ieee.org
Fog computing has emerged as a computing paradigm for resource-restricted Internet of
things (IoT) devices to support time-sensitive and computationally intensive applications …

A comprehensive survey on knowledge-defined networking

PADSN Wijesekara, S Gunawardena - Telecom, 2023 - mdpi.com
Traditional networking is hardware-based, having the control plane coupled with the data
plane. Software-Defined Networking (SDN), which has a logically centralized control plane …

A green, secure, and deep intelligent method for dynamic IoT-edge-cloud offloading scenarios

A Heidari, NJ Navimipour, MAJ Jamali… - … : Informatics and Systems, 2023 - Elsevier
To fulfill people's expectations for smart and user-friendly Internet of Things (IoT)
applications, the quantity of processing is fast expanding, and task latency constraints are …

Deep Reinforcement Learning for energy-aware task offloading in join SDN-Blockchain 5G massive IoT edge network

B Sellami, A Hakiri, SB Yahia - Future Generation Computer Systems, 2022 - Elsevier
Abstract The Internet-of-Things (IoT) edge allows cloud computing services for topology and
location-sensitive distributed computing. As an immediate benefit, it improves network …

An energy-efficient and deadline-aware workflow scheduling algorithm in the fog and cloud environment

N Khaledian, K Khamforoosh, R Akraminejad… - computing, 2024 - Springer
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 …

Delay and energy aware task scheduling mechanism for fog-enabled IoT applications: A reinforcement learning approach

MR Raju, SK Mothku - Computer Networks, 2023 - Elsevier
With the expansion of the internet of things (IoT) devices and their applications, the demand
for executing complex and deadline-aware tasks is growing rapidly. Fog-enabled IoT …

A new fog computing resource management (FRM) model based on hybrid load balancing and scheduling for critical healthcare applications

AA Mutlag, MK Abd Ghani, O Mohd… - Physical …, 2023 - Elsevier
Critical healthcare application tasks require a real-time response because it affects patients'
life. Fog computing is the best solution to get a fast response and less energy consumption …

An energy-efficient routing protocol with reinforcement learning in software-defined wireless sensor networks

D Godfrey, BK Suh, BH Lim, KC Lee, KI Kim - Sensors, 2023 - mdpi.com
The enormous increase in heterogeneous wireless devices operating in real-time
applications for Internet of Things (IoT) applications presents new challenges, including …

Machine learning-based solutions for resource management in fog computing

M Fahimullah, S Ahvar, M Agarwal… - Multimedia Tools and …, 2024 - Springer
Fog computing is a paradigm that offers distributed and diverse resources at the network
edge to fulfill the quality of service requirements. However, effectively managing these …

SDN-based optimal task scheduling method in Fog-IoT network using combination of AO and WOA

T Salehnia, A Montazerolghaem, S Mirjalili… - Handbook of Whale …, 2024 - Elsevier
Fog computing (FC) is an emerging paradigm developed to increase the speed of data
processing in the Internet of Things (IoT) system. In such environment, an optimal Task …