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| Content Provider | Springer Nature Link |
|---|---|
| Author | Carle, Georg Schlamp, Johann Bodisco, Alexander Braun, Lothar Volke, Mario |
| Copyright Year | 2013 |
| Abstract | 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. |
| Ending Page | 26 |
| Page Count | 12 |
| Starting Page | 15 |
| File Format | |
| ISSN | 0010485X |
| e-ISSN | 14365057 |
| Journal | Computing |
| Issue Number | 1 |
| Volume Number | 96 |
| Language | English |
| Publisher | Springer Vienna |
| Publisher Date | 2013-01-23 |
| Publisher Place | Vienna |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Visualization Data bases, information systems IPFIX User programs, administrative applications Software Engineering Network flow data Computer Application in Administrative Data Processing JavaScript Computer graphics Computer Science Artificial Intelligence (incl. Robotics) Netflow Information Systems Applications (incl. Internet) Computer Communication Networks |
| Content Type | Text |
| Resource Type | Article |
| Subject | Theoretical Computer Science Computational Theory and Mathematics Computational Mathematics Numerical Analysis Computer Science Applications Software |
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