Flow-inspector: a framework for visualizing network flow data using current web technologies

Flow-inspector: a framework for visualizing network flow data using current web technologies
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Flow-inspector:使用当前网络技术可视化网络流数据的框架

DOI:
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发表时间:
2013
期刊:
影响因子:
3.7
通讯作者:
G. Carle
G. Carle
中科院分区:
计算机科学3区
文献类型:
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作者:
L. Braun;Mario Volke;Johann Schlamp;Alexander von Bodisco;G. Carle

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新的网络技术导致了用于数据分析的浏览器应用程序的开发。现代浏览器引擎允许构建交互式实时可视化应用程序,从而能够以高效的方式理解复杂数据。我们介绍了Flow-Inspector,这是一个高度交互的开源Web框架,用于使用最新的Web技术可视化网络流数据。Flow-Inspector包括一个用于处理和存储大规模网络流量数据的后端,以及一个能够实时显示和操作交通信息的基于JavaScript的Web应用程序。这项工作为运营商提供了一个分析其网络的工具包,并使科学界能够使用可扩展的框架创建新的、创新的交通数据可视化。我们通过实现几个不同的可视化组件来演示我们方法的适用性,这些组件有助于识别网络流中的拓扑特征。
New web technologies led to the development of browser applications for data analysis. Modern browser engines allow for building interactive real-time visualization applications that enable efficient ways to understand complex data. We present Flow-Inspector, a highly interactive open-source web framework for visualizing network flow data using latest web technologies. Flow-Inspector includes a backend for processing and storing large-scale network flow data, as well as a JavaScript-based web application capable to display and manipulate traffic information in real-time. This work provides operators with a toolkit to analyze their networks and enables the scientific community to create new and innovative visualizations of traffic data with an extensible framework. We demonstrate the applicability of our approach by implementing several different visualization components that help to identify topological characteristics in network flows.