An Approach to Reducing Device Uncertainty in Fog-Cloud Computing

Various problems arise in building distributed data processing systems, including the problem of uncertainty. Uncertainty is a major problem and can be divided into several types based on its origin. The paper proposes a combined approach for reducing uncertainty in cloud computing. This approach is...

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Главные авторы:	Kucherov, N. N., Кучеров, Н. Н., Shiriaev, E. M., Ширяев, Е. М., Zolotariov D., Золотарев, Д.
Формат:	Статья
Язык:	English
Опубликовано:	Springer Science and Business Media Deutschland GmbH 2024
Темы:	Cloud computing Modular arithmetic Fog computing Uncertainty
Online-ссылка:	https://dspace.ncfu.ru/handle/123456789/29246
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

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spelling	ir-123456789-292462024-11-27T11:25:34Z An Approach to Reducing Device Uncertainty in Fog-Cloud Computing Kucherov, N. N. Кучеров, Н. Н. Shiriaev, E. M. Ширяев, Е. М. Zolotariov D. Золотарев, Д. Cloud computing Modular arithmetic Fog computing Uncertainty Various problems arise in building distributed data processing systems, including the problem of uncertainty. Uncertainty is a major problem and can be divided into several types based on its origin. The paper proposes a combined approach for reducing uncertainty in cloud computing. This approach is based on modular arithmetic and divides the data to be processed and stored among devices according to a specific algorithm. Simulation results show that this method reduces uncertainty and improves data processing efficiency in distributed systems. It has also been found that as the number of participating devices increases in a given task, the benefits of the proposed approach become more significant. This indicates that dividing tasks into smaller units and distributing them using a “confidence coefficient” yields more stable and reliable outcomes. In the future, it will be necessary to conduct research to identify the most effective way to divide the task into smaller subtasks. 2024-11-27T11:24:37Z 2024-11-27T11:24:37Z 2024 Статья Kucherov N., Shiriaev E., Zolotariov D., Neelakandan S. An Approach to Reducing Device Uncertainty in Fog-Cloud Computing // Lecture Notes in Networks and Systems. - 2024. - 863 LNNS. - pp. 161 - 171. - DOI: 10.1007/978-3-031-72171-7_17 https://dspace.ncfu.ru/handle/123456789/29246 en Lecture Notes in Networks and Systems application/pdf Springer Science and Business Media Deutschland GmbH
institution	СКФУ
collection	Репозиторий
language	English
topic	Cloud computing Modular arithmetic Fog computing Uncertainty
spellingShingle	Cloud computing Modular arithmetic Fog computing Uncertainty Kucherov, N. N. Кучеров, Н. Н. Shiriaev, E. M. Ширяев, Е. М. Zolotariov D. Золотарев, Д. An Approach to Reducing Device Uncertainty in Fog-Cloud Computing
description	Various problems arise in building distributed data processing systems, including the problem of uncertainty. Uncertainty is a major problem and can be divided into several types based on its origin. The paper proposes a combined approach for reducing uncertainty in cloud computing. This approach is based on modular arithmetic and divides the data to be processed and stored among devices according to a specific algorithm. Simulation results show that this method reduces uncertainty and improves data processing efficiency in distributed systems. It has also been found that as the number of participating devices increases in a given task, the benefits of the proposed approach become more significant. This indicates that dividing tasks into smaller units and distributing them using a “confidence coefficient” yields more stable and reliable outcomes. In the future, it will be necessary to conduct research to identify the most effective way to divide the task into smaller subtasks.
format	Статья
author	Kucherov, N. N. Кучеров, Н. Н. Shiriaev, E. M. Ширяев, Е. М. Zolotariov D. Золотарев, Д.
author_facet	Kucherov, N. N. Кучеров, Н. Н. Shiriaev, E. M. Ширяев, Е. М. Zolotariov D. Золотарев, Д.
author_sort	Kucherov, N. N.
title	An Approach to Reducing Device Uncertainty in Fog-Cloud Computing
title_short	An Approach to Reducing Device Uncertainty in Fog-Cloud Computing
title_full	An Approach to Reducing Device Uncertainty in Fog-Cloud Computing
title_fullStr	An Approach to Reducing Device Uncertainty in Fog-Cloud Computing
title_full_unstemmed	An Approach to Reducing Device Uncertainty in Fog-Cloud Computing
title_sort	approach to reducing device uncertainty in fog-cloud computing
publisher	Springer Science and Business Media Deutschland GmbH
publishDate	2024
url	https://dspace.ncfu.ru/handle/123456789/29246
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An Approach to Reducing Device Uncertainty in Fog-Cloud Computing

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