基于雾计算的大数据及其可视化

R. Segall, G. Niu
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引用次数: 15

摘要

大数据是指海量复杂的数据集,传统的数据处理应用软件无法处理。本文讨论了什么是大数据,它的特点,大数据的信息革命如何改变我们的生活,以及已经开发出来的处理这些巨大维度数据的新技术和方法。大数据可以是离散的数据流,也可以是连续的数据流,可以通过超级计算机、个人工作站、移动设备和平板电脑等多种类型的计算设备访问。讨论了如何使用云计算作为大数据可视化的一种机制来执行雾计算。以美国交通部(USDoT)国家公路交通安全管理局(NHTSA)管理的死亡分析报告系统(FARS)的真实数据为例,介绍了通过物联网(IoT)连接的设备传输大数据的可视化技术。讨论了基于javascript和基于用户界面的大数据可视化软件。本文还讨论了在雾计算中使用大数据的挑战和机遇。
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Big Data and Its Visualization With Fog Computing
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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