Saving time and cost on the scheduling of fog-based IoT applications using deep reinforcement learning approach

P Gazori, D Rahbari, M Nickray - Future Generation Computer Systems, 2020 - Elsevier
Due to the rapid growth of intelligent devices and the Internet of Things (IoT) applications in
recent years, the volume of data that is generated by these devices is increasing …

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 …

Deadline-aware and energy-efficient IoT task scheduling in fog computing systems: A semi-greedy approach

S Azizi, M Shojafar, J Abawajy, R Buyya - Journal of network and computer …, 2022 - Elsevier
With the rapid advancement of Internet of Things (IoT) devices, a variety of IoT applications
that require a real-time response and low latency have emerged. Fog computing has …

Mayfly taylor optimisation‐based scheduling algorithm with deep reinforcement learning for dynamic scheduling in fog‐cloud computing

G Shruthi, MR Mundada, BJ Sowmya… - … intelligence and soft …, 2022 - Wiley Online Library
Fog computing domain plays a prominent role in supporting time‐delicate applications,
which are associated with smart Internet of Things (IoT) services, like smart healthcare and …

Real-time task scheduling in fog-cloud computing framework for iot applications: A fuzzy logic based approach

HS Ali, RR Rout, P Parimi… - … COMmunication Systems & …, 2021 - ieeexplore.ieee.org
As an extension of the cloud, a fog computing environment facilitates the deployment of
Internet of Things (IoT) applications by shifting the computing, storage and networking …

Optimized task scheduling and preemption for distributed resource management in fog-assisted IoT environment

H Wadhwa, R Aron - The Journal of Supercomputing, 2023 - Springer
The fog-assisted cloud computing gives better quality of service (QoS) to Internet of things
(IoT) applications. However, the large quantity of data transmitted by the IoT devices results …

A novel bio-inspired hybrid algorithm (NBIHA) for efficient resource management in fog computing

H Rafique, MA Shah, SU Islam, T Maqsood… - IEEE …, 2019 - ieeexplore.ieee.org
Fog computing has emerged as a revolutionary paradigm to serve the massive data
generated in the Internet of Things (IoT) environments. It can be considered a derivative of …

Cost-aware task scheduling in fog-cloud environment

TS Nikoui, A Balador, AM Rahmani… - 2020 CSI/CPSSI …, 2020 - ieeexplore.ieee.org
Cloud computing provides computing and storage resources over the Internet to provide
services for different industries. However, delay-sensitive applications like smart health and …

A job scheduling algorithm for delay and performance optimization in fog computing

B Jamil, M Shojafar, I Ahmed, A Ullah… - Concurrency and …, 2020 - Wiley Online Library
Due to an ever‐increasing number of Internet of Everything (IoE) devices, massive amounts
of data are produced daily. Cloud computing offers storage, processing, and analysis …

DPTO: A deadline and priority-aware task offloading in fog computing framework leveraging multilevel feedback queueing

M Adhikari, M Mukherjee… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
By providing the flexible and shared computing and communication resources along with
the cloud services, the fog computing became an attractive paradigm to support delay …