DocumentCode :
2509766
Title :
A Novel Probability Distribution for Modeling Internet Traffic and its Parameter Estimation
Author :
Chlebus, Edward ; Divgi, Gautam
Author_Institution :
Illinois Inst. of Technol., Chicago
fYear :
2007
fDate :
26-30 Nov. 2007
Firstpage :
4670
Lastpage :
4675
Abstract :
A new probability distribution following from Lavalette´s law has been proposed for modeling wireless Internet access session statistics collected in a public nationwide Wi-Fi network. We have derived maximum likelihood estimators for this distribution and found them for three data sets of session duration and traffic volume measurements. Goodness of all fits is nearly perfect. The introduced model outperforms the Pareto, truncated Pareto and modified truncated Pareto distributions. Its flexibility makes it a good candidate for describing both long- tailed and non-long-tailed data.
Keywords :
Internet; maximum likelihood estimation; statistical distributions; telecommunication traffic; wireless LAN; Internet traffic modeling; Lavalette law; maximum likelihood estimator; parameter estimation; probability distribution; public nationwide Wi-Fi network; wireless Internet access session statistics; IP networks; Internet; Maximum likelihood estimation; Parameter estimation; Pareto analysis; Probability distribution; Statistical distributions; Telecommunication traffic; Traffic control; Volume measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-1042-2
Electronic_ISBN :
978-1-4244-1043-9
Type :
conf
DOI :
10.1109/GLOCOM.2007.886
Filename :
4411796
Link To Document :
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