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Improving the Mobile Edge Computing Architecture Using Fog Computing Environments

Authors: Subbotin, Alexey; Zhukova, Nataly; Glebovskiy, Petr;

Improving the Mobile Edge Computing Architecture Using Fog Computing Environments

Abstract

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.

Keywords

Mobile Edge Computing, Machine Learning, Video Processing, Internet of Things, Intelligent Video Surveillance, Fog Computing Environments

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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