Statistical Analysis of Data on the Traffic Intensity of Internet Networks for the Different Periods of Time

Olga Malyeyeva, Yurii Davydovskyi, Viktor Kosenko
2019 Computer Modeling and Intelligent Systems  
The article is devoted to the problems of the analysis of the regularity of changes in the intensity of telecommunications traffic for the different periods of time. A visual analysis of statistics on the intensity of traffic in different countries is conducted during the day, month, year, and five years. With the use of nonparametric criteria (chi-square, Mann-Whitney, Kruskall -Wallis), a pairwise and general comparison of data was conducted to identify their common trends. In addition, with
more » ... he use of statistical methods of time series processing, data are analyzed for a month and five years. By constructing an autoregression model of the time series, according to observation data, during the month a periodicity of a series with a seasonal lag has been proved. Thus, the existence of a clear periodicity in daily data has been proved and the frequency of the year is shown. The obtained results can be used to model the network parameters taking into account the predicted traffic.
doi:10.32782/cmis/2353-71 fatcat:cdnws2hzq5de7fdu7pnuqtucvy