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Big Data and Its Visualization With Fog Computing

Big Data and Its Visualization With Fog Computing

Richard S. Segall (Department of Computer and Information Technology, Neil Griffin College of Business, Arkansas State University, Jonesboro, USA) and Gao Niu (Department of Mathematics, Bryant University, Smithfield, USA)
Copyright: © 2018 |Volume: 1 |Issue: 2 |Article: 2 |Pages: 32
ISSN: 2572-4908|EISSN: 2572-4894|EISBN13: 9781522528678|DOI: 10.4018/IJFC.2018070102
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Segall, Richard S. and Gao Niu. "Big Data and Its Visualization With Fog Computing." IJFC 1.2 (2018): 51-82. Web. 26 Aug. 2020. doi:10.4018/IJFC.2018070102


Segall, R. S., & Niu, G. (2018). Big Data and Its Visualization With Fog Computing. International Journal of Fog Computing (IJFC), 1(2), 51-82. doi:10.4018/IJFC.2018070102


Segall, Richard S., and Gao Niu. "Big Data and Its Visualization With Fog Computing," International Journal of Fog Computing (IJFC) 1 (2018): 2, accessed (August 26, 2020), doi:10.4018/IJFC.2018070102

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Big Data is data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. This article discusses what is Big Data, and its characteristics, and how this information revolution of Big Data is transforming our lives and the new technology and methodologies that have been developed to process data of these huge dimensionalities. Big Data can be discrete or a continuous stream of data, and can be accessed using many types and kinds of computing devices ranging from supercomputers, personal work stations, to mobile devices and tablets. Discussion is presented of how fog computing can be performed with cloud computing as a mechanism for visualization of Big Data. An example of visualization techniques for Big Data transmitted by devices connected by Internet of Things (IoT) is presented for real data from fatality analysis reporting system (FARS) managed by the National Highway Traffic Safety Administration (NHTSA) of the United States Department of Transportation (USDoT). Big Data web-based visualization software are discussed that are both JavaScript-based and user interface-based. Challenges and opportunities of using Big Data with fog computing are also discussed.

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