Statistical analysis of empirical network traffic data from program monitoring
2022, vol.14 , no.3, pp. 15-24
Information servicing of remote client requests in a network environment is highly dependent on the regularity of the traffic and its parameters. With the development of modern digital technologies, the peculiarities of organizing processes to achieve high functionality and good performance with low loss of time and resources are increasing. This necessitates conducting adequate experiments for reliable traffic investigation and optimization of distributed service. Different approaches are presented in the literature, mainly aimed at model research and measurement (monitoring) of real data for observed parameters. The paper proposes a combined approach to combine program monitoring with statistical analysis of the measured data to ensure better accuracy of the obtained estimates for selected traffic parameters. A justification of the chosen approach is made on the basis of a brief summary of traffic
features and a discussion of recommendations for efficient distributed service. Program monitoring was carried out, and the accumulated empirical data from it are a subject of statistical analysis and the obtained evaluations are summarized.
networking, distributed information servicing, investigation, program monitoring, statistical assessments
Radi Romansky. Statistical analysis of empirical network traffic data from program monitoring. International Journal on Information Technologies and Security, vol.14 , no.3, 2022, pp. 15-24.