Network traffic prediction platform based on distributed stream processing and supported by R language

Wang Yu; Yuan Yan; Shui-qing Wu; Yan-chao Li

doi:10.1117/12.2514036

29 October 2018 Network traffic prediction platform based on distributed stream processing and supported by R language

Wang Yu, Yuan Yan, Shui-qing Wu, Yan-chao Li

Proceedings Volume 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence; 1083626 (2018) https://doi.org/10.1117/12.2514036
Event: 2018 International Conference on Image, Video Processing and Artificial Intelligence, 2018, Shanghai, China

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.

Citation Download Citation

Wang Yu, Yuan Yan, Shui-qing Wu, and Yan-chao Li "Network traffic prediction platform based on distributed stream processing and supported by R language", Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 1083626 (29 October 2018); https://doi.org/10.1117/12.2514036

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