Title
Big Data and Its Visualization with Fog Computing
Document Type
Article
Keywords
Batch Data; Big Data; Edge Computing; Fog Computing; Hadoop; Hard Real Time; MapReduce; Near RealTime; Real Time Data; Soft Real Time; Streaming Data; Visualization
Identifier Data
https://doi.org/10.4018/IJFC.2018070102
Publisher
IGI Global
Publication Source
Internation Journal of Fog Computing
Abstract
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 isBig Data, and its characteristics, and how this information revolution of Big Data is transforming our lives and the new technology and methodologiesthat 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 devicesranging 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 analysisreporting 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.
