Abstract
The article presents the statistical analysis results of network packet inter-arrival time distribution in academic computer network. Most popular transport protocols TCP and UDP are addressed in the research. Data was gathered using NetFlow protocol. Network traffic was divided into sections according its direction and usage trends, then packet inter-arrival time distributions were found. Kolmogorov-Smirnov test was used to evaluate goodness-of-fit of packet inter-arrival time distributions and it was determined, that Pareto Second Kind distribution fits the majority of the experimental distributions. DOI: http://dx.doi.org/10.5755/j01.eee.20.3.6683
Highlights
Computer networks modelling or performance evaluation requires knowledge of the computer network characteristic distribution trends
Distribution according to the known statistical law is very applicable during the modelling and simulation, but the uncertainty remains: does the statistical distribution represent the real situation in the production computer network
We found that Pareto Second Kind distribution fits best in most of the cases, so it can be used to model packet inter-arrival time
Summary
Computer networks modelling or performance evaluation requires knowledge of the computer network characteristic distribution trends. The article presents the research of TCP and UDP packet inter-arrival time distributions. The time interval between separate flows is available, so we made an assumption that all the packets in any NetFlow are distributed with the uniform time intervals and used this data to find the distribution which best fits the experimental data. This is a first and essential step in network traffic modeling and simulation. We found that Pareto Second Kind distribution fits best in most of the cases, so it can be used to model packet inter-arrival time
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
