Fog-GMFA-DRL: Enhanced deep reinforcement learning with hybrid grey wolf and modified moth flame optimization to enhance the load balancing in the fog-IoT …

S Gupta, N Singh - Advances in Engineering Software, 2022 - Elsevier
Abstract Internet of Things (IoT) can facilitate a plethora of data transactions among various
servers. In the IoT, fog servers are utilized to achieve effective data transactions from …

A load balancing and optimization strategy (LBOS) using reinforcement learning in fog computing environment

FM Talaat, MS Saraya, AI Saleh, HA Ali… - Journal of Ambient …, 2020 - Springer
Fog computing (FC) can be considered as a computing paradigm which performs Internet of
Things (IoT) applications at the edge of the network. Recently, there is a great growth of data …

Reinforcement learning based resource management for fog computing environment: Literature review, challenges, and open issues

H Tran-Dang, S Bhardwaj, T Rahim… - Journal of …, 2022 - ieeexplore.ieee.org
In the IoT-based systems, the fog computing allows the fog nodes to offload and process
tasks requested from IoT-enabled devices in a distributed manner instead of the centralized …

A reinforcement learning-based load balancing algorithm for fog computing

N Tahmasebi-Pouya, MA Sarram… - Telecommunication …, 2023 - Springer
Fog computing is a developing paradigm for bringing cloud computing capabilities closer to
end-users. Fog computing plays an important role in improving resource utilization and …

Deep learning-based resource prediction and mutated leader algorithm enabled load balancing in fog computing

G Shruthi, MR Mundada, S Supreeth… - International Journal of …, 2023 - pure.ulster.ac.uk
Load balancing plays a major part in improving the performance of fog computing, which
has become a requirement in fog layer for distributing all workload in equal manner amongst …

Reinforcement learning based task offloading of IoT applications in fog computing: algorithms and optimization techniques

T Allaoui, K Gasmi, T Ezzedine - Cluster Computing, 2024 - Springer
In recent years, fog computing has become a promising technology that supports
computationally intensive and time-sensitive applications, especially when dealing with …

Toward intelligent resource management in dynamic Fog Computing‐based Internet of Things environment with Deep Reinforcement Learning: A survey

S Gupta, N Singh - International Journal of Communication …, 2023 - Wiley Online Library
Fog computing has already started to gain a lot of momentum in the industry for its ability to
turn scattered computing resources into a large‐scale, virtualized, and elastic computing …

[PDF][PDF] Internet of Things

S Iftikhar, SS Gill, C Song, M Xu, MS Aslanpour… - huamingwu.cn
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …

An intelligent resource management method in SDN based fog computing using reinforcement learning

M Anoushee, M Fartash, J Akbari Torkestani - Computing, 2024 - Springer
Nowadays, cloud computing faces growing challenges, furthermore, responding to time-
sensitive requests in the traditional cloud computing model is one of the major challenges …

Qos-aware task offloading in fog environment using multi-agent deep reinforcement learning

V Jain, B Kumar - Journal of Network and Systems Management, 2023 - Springer
With the surge of intelligent devices, applications of Internet of Things (IoT) are growing at a
rapid pace. As a result, a massive amount of raw data is generated, which must be …