Improving the Mobile Edge Computing Architecture Using Fog Computing Environments

This article discusses the Mobile Edge Computing (MEC) architecture. A broad overview of ready-made platforms for IoT systems is presented. Examples of real use of ready-made systems in various fields are considered. The problem of delays in data processing is identified. Nowadays reduction in delay...

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Autores principales: Alexey Subbotin, Nataly Zhukova, Petr Glebovskiy
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Lenguaje:EN
Publicado: FRUCT 2021
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Acceso en línea:https://doaj.org/article/9985dfeba2ce44cf81f9a9e384a07422
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spelling oai:doaj.org-article:9985dfeba2ce44cf81f9a9e384a074222021-11-20T15:59:33ZImproving the Mobile Edge Computing Architecture Using Fog Computing Environments2305-72542343-073710.5281/zenodo.5639780https://doaj.org/article/9985dfeba2ce44cf81f9a9e384a074222021-10-01T00:00:00Zhttps://www.fruct.org/publications/acm30/files/Sub.pdfhttps://doaj.org/toc/2305-7254https://doaj.org/toc/2343-0737This article discusses the Mobile Edge Computing (MEC) architecture. A broad overview of ready-made platforms for IoT systems is presented. Examples of real use of ready-made systems in various fields are considered. The problem of delays in data processing is identified. Nowadays reduction in delays require large computing resources. A solution is proposed based on the modification of the MEC architecture using fog computing environments and cloud computing. An approach for transferring computations to the cloud and fog has been developed. The proposed approach was tested and the results were obtained in relation to the processing of a large amount of data (video information). Specific examples are given.Alexey SubbotinNataly ZhukovaPetr GlebovskiyFRUCTarticlemobile edge computingfog computing environmentsinternet of thingsmachine learningintelligent video surveillancevideo processingTelecommunicationTK5101-6720ENProceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 30, Iss 2, Pp 388-395 (2021)
institution DOAJ
collection DOAJ
language EN
topic mobile edge computing
fog computing environments
internet of things
machine learning
intelligent video surveillance
video processing
Telecommunication
TK5101-6720
spellingShingle mobile edge computing
fog computing environments
internet of things
machine learning
intelligent video surveillance
video processing
Telecommunication
TK5101-6720
Alexey Subbotin
Nataly Zhukova
Petr Glebovskiy
Improving the Mobile Edge Computing Architecture Using Fog Computing Environments
description This article discusses the Mobile Edge Computing (MEC) architecture. A broad overview of ready-made platforms for IoT systems is presented. Examples of real use of ready-made systems in various fields are considered. The problem of delays in data processing is identified. Nowadays reduction in delays require large computing resources. A solution is proposed based on the modification of the MEC architecture using fog computing environments and cloud computing. An approach for transferring computations to the cloud and fog has been developed. The proposed approach was tested and the results were obtained in relation to the processing of a large amount of data (video information). Specific examples are given.
format article
author Alexey Subbotin
Nataly Zhukova
Petr Glebovskiy
author_facet Alexey Subbotin
Nataly Zhukova
Petr Glebovskiy
author_sort Alexey Subbotin
title Improving the Mobile Edge Computing Architecture Using Fog Computing Environments
title_short Improving the Mobile Edge Computing Architecture Using Fog Computing Environments
title_full Improving the Mobile Edge Computing Architecture Using Fog Computing Environments
title_fullStr Improving the Mobile Edge Computing Architecture Using Fog Computing Environments
title_full_unstemmed Improving the Mobile Edge Computing Architecture Using Fog Computing Environments
title_sort improving the mobile edge computing architecture using fog computing environments
publisher FRUCT
publishDate 2021
url https://doaj.org/article/9985dfeba2ce44cf81f9a9e384a07422
work_keys_str_mv AT alexeysubbotin improvingthemobileedgecomputingarchitectureusingfogcomputingenvironments
AT natalyzhukova improvingthemobileedgecomputingarchitectureusingfogcomputingenvironments
AT petrglebovskiy improvingthemobileedgecomputingarchitectureusingfogcomputingenvironments
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