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BDViewer — A Web-Based Big Data Processing and Visualization Tool

机译:BDViewer —基于Web的大数据处理和可视化工具

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The size of data sets being collected and analyzed in data science field is growing rapidly, making traditional big data processing solution prohibitively expensive. Especially when the data sets are too large, distributed techniques are inevitable even for simple embarrassing parallel jobs. However, distributed computing is still inaccessible to a large number of users. For example, many average users are still struggling with complex cluster management and configuration tools[24] even just for summing up a group of numbers in a large data file. In this paper, we present BDViewer, a web-based big data processing and visualizing tool. BDViewer uses JavaScript plugins to enable users to view, process and visualize their large data files just through a web browser. By just clicking a button, users can open a large data file online and view the file contents immediately no matter how large the file is. In the back-end, BDViewer is built on a virtual private cloud system. Users' operations in a web browser are converted into map-reduce jobs and MPI tasks that are executed on the cloud. At the end of this paper, some experiments are carried out, which demonstrate BDViewer's effectiveness and ease of use.
机译:数据科学领域中正在收集和分析的数据集的规模正在迅速增长,这使得传统的大数据处理解决方案价格过高。特别是当数据集太大时,即使对于简单的令人尴尬的并行作业,分布式技术也是不可避免的。但是,分布式计算仍然是许多用户无法访问的。例如,许多普通用户仍在为复杂的群集管理和配置工具而苦苦挣扎[24],甚至只是为了将一个大型数据文件中的一组数字求和。在本文中,我们介绍了BDViewer,这是一个基于Web的大数据处理和可视化工具。 BDViewer使用JavaScript插件使用户能够仅通过Web浏览器查看,处理和可视化其大型数据文件。只需单击一个按钮,用户就可以在线打开一个大数据文件,并且无论文件有多大,都可以立即查看文件内容。在后端,BDViewer建立在虚拟私有云系统上。用户在Web浏览器中的操作将转换为在云中执行的map-reduce作业和MPI任务。在本文的最后,进行了一些实验,这些实验证明了BDViewer的有效性和易用性。

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