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Network traffic prediction platform based on distributed stream processing and supported by R language
Author(s): Wang Yu; Yuan Yan; Shui-qing Wu; Yan-chao Li
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Paper Abstract

The thesis develops a network traffic predication application. The application, built on the R language oriented distributed stream processing systems described above, uses JDSU micro probe systems and nProbe to collect network traffic data, make predication on ARIMA model, and provide the basic data visualization function. Compared to similar systems, our network predication platform, has higher scalability and serviceability thanks to the distributed stream processing system, and better development efficiency with the help of R and CRAN.

Paper Details

Date Published: 29 October 2018
PDF: 7 pages
Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 1083626 (29 October 2018); doi: 10.1117/12.2514036
Show Author Affiliations
Wang Yu, Hohai Univ. (China)
Yuan Yan, Hohai Univ. (China)
Shui-qing Wu, Hohai Univ. (China)
Yan-chao Li, Shanghai Advanced Research Institute (China)


Published in SPIE Proceedings Vol. 10836:
2018 International Conference on Image and Video Processing, and Artificial Intelligence
Ruidan Su, Editor(s)

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