Toward Understanding Uncertainty in Fog-Cloud Computing for Big Data Storage and Processing

Fog computing is currently getting more and more development. But researchers face the challenges of uncertainty, security, and data management in the fog. To solve these problems, re-searchers use various methods. For example, methods of machine learning, orchestration, cryptography, etc. are used....

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Главные авторы:	Kucherov, N. N., Кучеров, Н. Н., Gladkov, A. V., Гладков, А. В., Vershkov, N. A., Вершков, Н. А., Nazarov, A. S., Назаров, А. С.
Формат:	Статья
Язык:	English
Опубликовано:	Springer Science and Business Media Deutschland GmbH 2024
Темы:	Fog computing Modular arithmetic Uncertainty
Online-ссылка:	https://dspace.ncfu.ru/handle/123456789/29210
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

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spelling	ir-123456789-292102024-11-08T09:26:01Z Toward Understanding Uncertainty in Fog-Cloud Computing for Big Data Storage and Processing Kucherov, N. N. Кучеров, Н. Н. Gladkov, A. V. Гладков, А. В. Vershkov, N. A. Вершков, Н. А. Nazarov, A. S. Назаров, А. С. Fog computing Modular arithmetic Uncertainty Fog computing is currently getting more and more development. But researchers face the challenges of uncertainty, security, and data management in the fog. To solve these problems, re-searchers use various methods. For example, methods of machine learning, orchestration, cryptography, etc. are used. In this paper, we propose a method for solving the confidentiality problem based on modular arithmetic, secret sharing schemes, and homomorphic ciphers. An overview and nature of the arising uncertainties in fog computing is given. Approaches to its reduction are proposed. 2024-11-08T09:24:55Z 2024-11-08T09:24:55Z 2024 Статья Kucherov N., Gladkov A., Vershkov N., Nazarov A. Toward Understanding Uncertainty in Fog-Cloud Computing for Big Data Storage and Processing // Lecture Notes in Networks and Systems. - 2024. - 1044 LNNS. - pp. 115 - 133. - DOI: 10.1007/978-3-031-64010-0_12 https://dspace.ncfu.ru/handle/123456789/29210 en Lecture Notes in Networks and Systems application/pdf Springer Science and Business Media Deutschland GmbH
institution	СКФУ
collection	Репозиторий
language	English
topic	Fog computing Modular arithmetic Uncertainty
spellingShingle	Fog computing Modular arithmetic Uncertainty Kucherov, N. N. Кучеров, Н. Н. Gladkov, A. V. Гладков, А. В. Vershkov, N. A. Вершков, Н. А. Nazarov, A. S. Назаров, А. С. Toward Understanding Uncertainty in Fog-Cloud Computing for Big Data Storage and Processing
description	Fog computing is currently getting more and more development. But researchers face the challenges of uncertainty, security, and data management in the fog. To solve these problems, re-searchers use various methods. For example, methods of machine learning, orchestration, cryptography, etc. are used. In this paper, we propose a method for solving the confidentiality problem based on modular arithmetic, secret sharing schemes, and homomorphic ciphers. An overview and nature of the arising uncertainties in fog computing is given. Approaches to its reduction are proposed.
format	Статья
author	Kucherov, N. N. Кучеров, Н. Н. Gladkov, A. V. Гладков, А. В. Vershkov, N. A. Вершков, Н. А. Nazarov, A. S. Назаров, А. С.
author_facet	Kucherov, N. N. Кучеров, Н. Н. Gladkov, A. V. Гладков, А. В. Vershkov, N. A. Вершков, Н. А. Nazarov, A. S. Назаров, А. С.
author_sort	Kucherov, N. N.
title	Toward Understanding Uncertainty in Fog-Cloud Computing for Big Data Storage and Processing
title_short	Toward Understanding Uncertainty in Fog-Cloud Computing for Big Data Storage and Processing
title_full	Toward Understanding Uncertainty in Fog-Cloud Computing for Big Data Storage and Processing
title_fullStr	Toward Understanding Uncertainty in Fog-Cloud Computing for Big Data Storage and Processing
title_full_unstemmed	Toward Understanding Uncertainty in Fog-Cloud Computing for Big Data Storage and Processing
title_sort	toward understanding uncertainty in fog-cloud computing for big data storage and processing
publisher	Springer Science and Business Media Deutschland GmbH
publishDate	2024
url	https://dspace.ncfu.ru/handle/123456789/29210
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Toward Understanding Uncertainty in Fog-Cloud Computing for Big Data Storage and Processing

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