Web traffic modeling exploiting TCP connections´ temporal clustering through HTML-REDUCE

Author

Molina, Maurizio ; Castelli, Paolo ; Foddis, Gianluca

Author_Institution

CSELT, Italy

Volume

14

Issue

3

fYear

2000

Firstpage

46

Lastpage

55

Abstract

This article presents a measurement analysis methodology that, starting from packet-level traces, identifies some statistics useful to characterize Web traffic, such as page size, page request frequency, and the user´s think time between the download of pages. The methodology was implemented in a tool named HTML-REDUCE and applied on traces collected in CSELT´s corporate network. For each identified statistic the analytic expression best approximating its empirical distribution is searched. A simplified model for bandwidth dimensioning in the server-to-client direction is then presented and validated through comparison with full protocol stack simulations. The model only requires the page request frequency of an aggregate of clients and the first two moments of page size distribution

Keywords

Internet; business communication; hypermedia markup languages; information resources; packet switching; search engines; telecommunication traffic; transport protocols; CSELT corporate network; HTML-REDUCE; TCP connections; Web traffic modeling; bandwidth dimensioning; empirical distribution; measurement analysis; packet-level traces; page request frequency; page size distribution; protocol stack simulations; server-to-client direction; statistics; temporal clustering; Aggregates; Bandwidth; Frequency measurement; Protocols; Size measurement; Statistical analysis; Statistical distributions; Telecommunication traffic; Time measurement; Traffic control;

fLanguage

English

Journal_Title

Network, IEEE

Publisher

ieee

ISSN

0890-8044

Type

jour

DOI

10.1109/65.844500

Filename

844500