Fog Computing Capabilities for Big Data Provisioning: Visualization Scenario

Halimjon Khujamatov, Khaleel Ahmad, Nargiza Usmanova, Jamshid Khoshimov, Mai Alduailij and Mona Alduailij
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Halimjon Khujamatov: Computer Engineering Faculty, Tashkent University of Information Technologies, Tashkent 100200, Uzbekistan
Khaleel Ahmad: Department of Computer Science and Information Technology, Maulana Azad National Urdu University, Hyderabad 500032, India
Nargiza Usmanova: Computer Engineering Faculty, Tashkent University of Information Technologies, Tashkent 100200, Uzbekistan
Jamshid Khoshimov: Ministry for Development of Information Technologies and Communications, Tashkent 100000, Uzbekistan
Mai Alduailij: Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh 84428, Saudi Arabia
Mona Alduailij: Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh 84428, Saudi Arabia

Sustainability, 2022, vol. 14, issue 13, 1-14

Abstract: 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.

Keywords: fog computing; big data; visualization; cloud computing; performance; capability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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