NDLI: Fog Computing Capabilities for Big Data Provisioning: Visualization Scenario

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Fog Computing Capabilities for Big Data Provisioning: Visualization Scenario

Content Provider	MDPI
Author	Khujamatov, Halimjon Ahmad, Khaleel Usmanova, Nargiza Khoshimov, Jamshid Alduailij, Mai Alduailij, Mona
Copyright Year	2022
Description	With the development of Internet technologies, huge amounts of data are collected from various sources, and used ‘anytime, anywhere’ to enrich and change the life of the whole of society, attract ways to do business, and better perceive people’s lives. Those datasets, called ‘big data’, need to be processed, stored, or retrieved, and special tools were developed to analyze this big data. At the same time, the ever-increasing development of the Internet of Things (IoT) requires IoT devices to be mobile, with adequate data processing performance. The new fog computing paradigm makes computing resources more accessible, and provides a flexible environment that will be widely used in next-generation networks, vehicles, etc., demonstrating enhanced capabilities and optimizing resources. This paper is devoted to analyzing fog computing capabilities for big data provisioning, while considering this technology’s different architectural and functional aspects. The analysis includes exploring the protocols suitable for fog computing by implementing an experimental fog computing network and assessing its capabilities for providing big data, originating from both a real-time stream and batch data, with appropriate visualization of big data processing.
Starting Page	8070
e-ISSN	20711050
DOI	10.3390/su14138070
Journal	Sustainability
Issue Number	13
Volume Number	14
Language	English
Publisher	MDPI
Publisher Date	2022-07-01
Access Restriction	Open
Subject Keyword	Sustainability Information and Library Science Fog Computing Big Data Visualization Cloud Computing Performance Capability
Content Type	Text
Resource Type	Article

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