Multi-target-aware dynamic resource scheduling for cloud-fog-edge multi-tier computing network

P Zhang, N Chen, G Xu, N Kumar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
With the maturity of 5G and Intelligent Transportation Systems (ITS) technologies and the
prospect of Beyond 5G (B5G) and 6G technologies, the limited lifetime and computing of …

Deep reinforcement learning for intelligent service provisioning in software-defined industrial fog networks

I Sarkar, M Adhikari, S Kumar… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Fog computing has become a promising technology to improve the performance of low-
powered Industrial Internet of Things (IIoT) devices by providing flexible and convenient …

Deep learning-based energy-efficient computational offloading strategy in heterogeneous fog computing networks

I Sarkar, S Kumar - The Journal of Supercomputing, 2022 - Springer
In the era of the Internet of Things (IoT), the volume of data is increasing immensely causing
rapid growth in network data communication and data congestion. Computational offloading …

An intelligent scheduling strategy in fog computing system based on multi-objective deep reinforcement learning algorithm

MA Ibrahim, S Askar - IEEE Access, 2023 - ieeexplore.ieee.org
Fog computing (FC) has recently emerged as a promising new paradigm that provides
resource-intensive Internet of Things (IoT) applications with low-latency services at the …

[HTML][HTML] Multi-objective optimization for task offloading based on network calculus in fog environments

Q Ren, K Liu, L Zhang - Digital Communications and Networks, 2022 - Elsevier
With the widespread application of wireless communication technology and continuous
improvements to Internet of Things (IoT) technology, fog computing architecture composed …

Joint task offloading and resource allocation for delay-sensitive fog networks

M Mukherjee, S Kumar, M Shojafar… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Computational offloading becomes an important and essential research issue for the delay-
sensitive task completion at resource-constraint end-users. Fog computing that extends the …

Application offloading strategy for hierarchical fog environment through swarm optimization

M Adhikari, SN Srirama… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Nowadays, billions of Internet-of-Things devices generate various types of delay-sensitive
tasks to process within a limited time frame. By processing the tasks at the network edge …

Dots: Delay-optimal task scheduling among voluntary nodes in fog networks

G Zhang, F Shen, N Chen, P Zhu… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
Through offloading the computing tasks of the task nodes (TNs) to the fog nodes (FNs)
located at the network edge, the fog network is expected to address the unacceptable …

Task scheduling in edge-fog-cloud architecture: a multi-objective load balancing approach using reinforcement learning algorithm

F Ramezani Shahidani, A Ghasemi… - Computing, 2023 - Springer
The rapid development of internet of things (IoT) gadgets and the increase in the rate of
sending requests from these devices to cloud data centers resulted in congestion and …

FoGMatch: An intelligent multi-criteria IoT-fog scheduling approach using game theory

S Arisdakessian, OA Wahab, A Mourad… - IEEE/ACM …, 2020 - ieeexplore.ieee.org
Cloud computing has long been the main backbone that Internet of Things (IoT) devices rely
on to accommodate their storage and analytical needs. However, the fact that cloud systems …