Statistical analysis of network traffic inter-arrival

Author

Bhattacharjee, Arup ; Nandi, Sukumar

Author_Institution

Dept. of Comput. Sci. & Eng., Nat. Inst. of Technol., Silchar, India

Volume

2

fYear

2010

fDate

7-10 Feb. 2010

Firstpage

1052

Lastpage

1057

Abstract

Self-similarity with Long Range Dependence (LRD) in network traffic has been modeled using aggregation from On-Off sources. The model requires that each of the On and Off period distribution follow Power-tail distribution like Pareto distribution. This paper characterizes of burst inter-arrival time of network traffic using Bellcore Morristown Laboratory Data and an Academic Institute LAN trace. It is shown that, Log-Normal distribution is a better fit for the data compared to Pareto. Current work analyzes statistically both the data from spatial as well as temporal view point.

Keywords

Pareto distribution; log normal distribution; statistical analysis; telecommunication traffic; Pareto distribution; burst inter-arrival time; log-normal distribution; long range dependence; network traffic inter-arrival; off period distribution; on period distribution follow; on-off sources; power-tail distribution; statistical analysis; Brownian motion; Buffer overflow; Computer science; Data analysis; Internet; Local area networks; Queueing analysis; Statistical analysis; Telecommunication traffic; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Communication Technology (ICACT), 2010 The 12th International Conference on

Conference_Location

Phoenix Park

ISSN

1738-9445

Print_ISBN

978-1-4244-5427-3

Type

conf

Filename

5440221