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

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

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...

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Publicat a:IEEE Network : the magazine of global information exchange 14, 3 (2000).
Autor principal: Molina, M.
Format: Article
Idioma:English
Matèries:
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.