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 …

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 …

Real-time task scheduling algorithm for IoT-based applications in the cloud–fog environment

AS Abohamama, A El-Ghamry, E Hamouda - Journal of Network and …, 2022 - Springer
IoT applications have become a pillar for enhancing the quality of life. However, the
increasing amount of data generated by IoT devices places pressure on the resources of …

PGA: a priority-aware genetic algorithm for task scheduling in heterogeneous fog-cloud computing

F Hoseiny, S Azizi, M Shojafar… - … -IEEE conference on …, 2021 - ieeexplore.ieee.org
Fog-Cloud computing has become a promising platform for executing Internet of Things (IoT)
tasks with different requirements. Although the fog environment provides low latency due to …

Energy efficient task scheduling in fog environment using deep reinforcement learning approach

S Swarup, EM Shakshuki, A Yasar - Procedia Computer Science, 2021 - Elsevier
The users of cloud span to several types of tasks for various purposes, such as users who
need to accomplish tasks that utilize cloud based on as Infrastructure as a Service. These …

Latency-aware task scheduling for IoT applications based on artificial intelligence with partitioning in small-scale fog computing environments

JB Lim - Sensors, 2022 - mdpi.com
The Internet of Things applications have become popular because of their lightweight nature
and usefulness, which require low latency and response time. Hence, Internet of Things …

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 …

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 …

Task scheduling mechanisms for fog computing: a systematic survey

M Hosseinzadeh, E Azhir, J Lansky, S Mildeova… - IEEE …, 2023 - ieeexplore.ieee.org
In the Internet of Things (IoT) ecosystem, some processing is done near data production
sites at higher speeds without the need for high bandwidth by combining Fog Computing …

A whale optimization algorithm based resource allocation scheme for cloud-fog based iot applications

R Sing, SK Bhoi, N Panigrahi, KS Sahoo, N Jhanjhi… - Electronics, 2022 - mdpi.com
Fog computing has been prioritized over cloud computing in terms of latency-sensitive
Internet of Things (IoT) based services. We consider a limited resource-based fog system …