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A comprehensive review of AI techniques for resource management in fog computing: Trends, challenges and future directions
D Alsadie - IEEE Access, 2024 - ieeexplore.ieee.org
Fog computing (FC), extending cloud services to the network edge, has emerged as a key
paradigm for low-latency applications like the Internet of Things (IoT). However, efficient …
paradigm for low-latency applications like the Internet of Things (IoT). However, efficient …
Secured wireless network based on a novel dual integrated neural network architecture
The development of the fifth generation (5G) and sixth generation (6G) wireless networks
has gained wide spread importance in all aspects of life through the network due to their …
has gained wide spread importance in all aspects of life through the network due to their …
Enhanced Hybrid Intrusion Detection System with Attention Mechanism using Deep Learning
The introduction of the Attention mechanism by the Internet of Things—or WSN-IoT—in the
sector has greatly enhanced the intrusion detection mechanism capabilities, whereas the …
sector has greatly enhanced the intrusion detection mechanism capabilities, whereas the …
Kidney Tumor Detection Using MLflow, DVC and Deep Learning
MG Usha, MS Shreya, S Supreeth… - … on Advances in …, 2024 - ieeexplore.ieee.org
Kidney tumors are a global health concern, necessitating precise detection for effective
treatment and better patient outcomes. This paper presents a novel approach that combines …
treatment and better patient outcomes. This paper presents a novel approach that combines …
[PDF][PDF] A review load balancing algorithms in fog computing
RM Mahdi, HJ Hassan… - BIO Web of …, 2024 - bio-conferences.org
With the rapid advance of the Internet of Things (IoT), technology has entered a new era. It is
changing the way smart devices relate to such fields as healthcare, smart cities, and …
changing the way smart devices relate to such fields as healthcare, smart cities, and …
[PDF][PDF] Load Balancing in DCN Servers Through Software Defined Network Machine Learning.
G Beissenova, A Zhidebayeva… - International …, 2024 - pdfs.semanticscholar.org
In this research paper, we delve into the innovative realm of optimizing load balancing in
Data Center Networks (DCNs) by leveraging the capabilities of Software-Defined …
Data Center Networks (DCNs) by leveraging the capabilities of Software-Defined …
Improved deep network‐based load predictor and optimal load balancing in cloud‐fog services
S Singh, AK Mishra, SK Arjaria, C Bhatt… - Concurrency and …, 2024 - Wiley Online Library
Cloud computing is commonly utilized in remote contexts to handle user demands for
resources and services. Each assignment has unique processing needs that are determined …
resources and services. Each assignment has unique processing needs that are determined …
Adaptive Agent-based Load Balancing in Fog Computing
S Chang, H Lutfiyya - 2024 IEEE 10th World Forum on Internet …, 2024 - ieeexplore.ieee.org
As an extension of cloud computing, fog computing push computing power to the edge of the
network, making full use of computing resources close to users to reduce communication …
network, making full use of computing resources close to users to reduce communication …
Dynamic Load Balancing with Task Migration: A Genetic Algorithm Approach for Optimizing Cloud Computing Infrastructure
The advancement of cloud computing is contingent upon the effective establishment of
infrastructure and the flexible use of accessible resources. An essential aspect of this …
infrastructure and the flexible use of accessible resources. An essential aspect of this …
RWRR: Remind Weighted Rounding Robin for Load Balancing in Fog Computing
S Ali, R Alubady - 2023 7th International Symposium on …, 2023 - ieeexplore.ieee.org
The healthcare environment is one of the applications that require real-time monitoring to
immediately process. Fog computing works in a real-time environment and offers connected …
immediately process. Fog computing works in a real-time environment and offers connected …