Fault Tolerant System for Data Storage, Transmission and Processing in Fog Computing Using Artificial Neural Networks

The emergence of the Internet of Things (IoT) has led to the adoption of fog computing as a highly advantageous system for connecting IoT devices. However, to ensure seamless operation within fog computing networks, there is a need for robust software and systems. Artificial Neural Networks (ANN) ha...

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Главные авторы:	Lutsenko, V. V., Луценко, В. В.
Формат:	Статья
Язык:	English
Опубликовано:	Springer Science and Business Media Deutschland GmbH 2024
Темы:	Artificial neural networks Smart city Internet of things Fog computing Fault tolerant data management Neural networks
Online-ссылка:	https://dspace.ncfu.ru/handle/123456789/29190
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spelling	ir-123456789-291902024-11-01T07:52:15Z Fault Tolerant System for Data Storage, Transmission and Processing in Fog Computing Using Artificial Neural Networks Lutsenko, V. V. Луценко, В. В. Artificial neural networks Smart city Internet of things Fog computing Fault tolerant data management Neural networks The emergence of the Internet of Things (IoT) has led to the adoption of fog computing as a highly advantageous system for connecting IoT devices. However, to ensure seamless operation within fog computing networks, there is a need for robust software and systems. Artificial Neural Networks (ANN) have shown significant potential in improving data storage, transmission, and processing systems in fog computing environments. This study aims to review various applications of ANNs within fog computing systems. The research highlights the advantages of ANN in enhancing the efficiency and effectiveness of data management, considering factors such as data storage, transmission, and processing. The study presents different use cases where ANN have been applied in fog computing networks, demonstrating their ability to optimize data classification, facilitate real-time decision-making, and enhance the usability of fog computing for workers. 2024-11-01T07:51:39Z 2024-11-01T07:51:39Z 2024 Статья Lutsenko V., Zgonnikov M. Fault Tolerant System for Data Storage, Transmission and Processing in Fog Computing Using Artificial Neural Networks // Lecture Notes in Networks and Systems. - 2024. - 1044 LNNS. - pp. 199 - 212. - DOI: 10.1007/978-3-031-64010-0_19 https://dspace.ncfu.ru/handle/123456789/29190 en Lecture Notes in Networks and Systems application/pdf Springer Science and Business Media Deutschland GmbH
institution	СКФУ
collection	Репозиторий
language	English
topic	Artificial neural networks Smart city Internet of things Fog computing Fault tolerant data management Neural networks
spellingShingle	Artificial neural networks Smart city Internet of things Fog computing Fault tolerant data management Neural networks Lutsenko, V. V. Луценко, В. В. Fault Tolerant System for Data Storage, Transmission and Processing in Fog Computing Using Artificial Neural Networks
description	The emergence of the Internet of Things (IoT) has led to the adoption of fog computing as a highly advantageous system for connecting IoT devices. However, to ensure seamless operation within fog computing networks, there is a need for robust software and systems. Artificial Neural Networks (ANN) have shown significant potential in improving data storage, transmission, and processing systems in fog computing environments. This study aims to review various applications of ANNs within fog computing systems. The research highlights the advantages of ANN in enhancing the efficiency and effectiveness of data management, considering factors such as data storage, transmission, and processing. The study presents different use cases where ANN have been applied in fog computing networks, demonstrating their ability to optimize data classification, facilitate real-time decision-making, and enhance the usability of fog computing for workers.
format	Статья
author	Lutsenko, V. V. Луценко, В. В.
author_facet	Lutsenko, V. V. Луценко, В. В.
author_sort	Lutsenko, V. V.
title	Fault Tolerant System for Data Storage, Transmission and Processing in Fog Computing Using Artificial Neural Networks
title_short	Fault Tolerant System for Data Storage, Transmission and Processing in Fog Computing Using Artificial Neural Networks
title_full	Fault Tolerant System for Data Storage, Transmission and Processing in Fog Computing Using Artificial Neural Networks
title_fullStr	Fault Tolerant System for Data Storage, Transmission and Processing in Fog Computing Using Artificial Neural Networks
title_full_unstemmed	Fault Tolerant System for Data Storage, Transmission and Processing in Fog Computing Using Artificial Neural Networks
title_sort	fault tolerant system for data storage, transmission and processing in fog computing using artificial neural networks
publisher	Springer Science and Business Media Deutschland GmbH
publishDate	2024
url	https://dspace.ncfu.ru/handle/123456789/29190
work_keys_str_mv	AT lutsenkovv faulttolerantsystemfordatastoragetransmissionandprocessinginfogcomputingusingartificialneuralnetworks AT lucenkovv faulttolerantsystemfordatastoragetransmissionandprocessinginfogcomputingusingartificialneuralnetworks
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Fault Tolerant System for Data Storage, Transmission and Processing in Fog Computing Using Artificial Neural Networks

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