Characterizing On/Off Pattern of Broadband Internet Users

Author

Valle, Emanuel V. ; Neto, H.T.M. ; Meira, Wagner ; Almeida, Virgîlio A F

Author_Institution

Dept. of Comput. Sci., Pontifical Catholic Univ. (PUC Minas), Belo Horizonte

fYear

2008

fDate

28-30 Oct. 2008

Firstpage

121

Lastpage

128

Abstract

It is well known that the duration of Internet user´s sessions grows with the increase of broadband Internet access. Nevertheless, it is still not clear how much their usage increases, that is, whether the user issues requests during the whole session or there are periods during which users request nothing. This work presents a characterization of on/off pattern of broadband Internet users. We determine the statistical distribution of session on/off time and found that on-time is fits better to the Weibull distribution and offtime to the Lognormal. Furthermore, we model the on/off pattern with a state transition graph called CBMG (Customer Behavior Model Graph).

Keywords

Internet; Weibull distribution; broadband networks; graph theory; log normal distribution; Lognormal; Weibull distribution; broadband Internet access; broadband Internet users; customer behavior model graph; state transition graph; statistical distribution; Broadband communication; Capacity planning; Computer science; Exponential distribution; IP networks; Pattern analysis; Statistical distributions; Videos; Web and internet services; Weibull distribution; Broadband; Characterization; On/Off pattern; Performance; Scalability;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Conference, 2008. LA-WEB '08., Latin American

Conference_Location

Espfrito Santo

Print_ISBN

978-0-7695-3397-1

Electronic_ISBN

978-0-7695-3397-1

Type

conf

DOI

10.1109/LA-WEB.2008.20

Filename

4756170