Title:
Statistical Characterization of a World Wide Web Browsing Session
Statistical Characterization of a World Wide Web Browsing Session
Author(s)
Khaunte, Sunil Upendra
Limb, J. O. (John O.)
Limb, J. O. (John O.)
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Abstract
The growing availability of Internet access has led to a sharp increase in
the use of the World Wide Web(WWW). In the near future, a significant
component of the Internet traffic into and out of the home is expected to be
WWW related traffic. If we are to design broadband access systems to carry
this traffic, it is important to be able to model it accurately, with the
hope that we can track and predict the impact of this relatively new type of
traffic. The upstream packets presented by a subscriber engaged in a web
browsing session, cannot be modelled as an independant one-way source since
the actual inter-arrival between the packets depends on the feedback
mechanisms and restrictions imposed by the transport/application layer
protocols. We need to model the complete packet exchange between the WWW
Client/Server to generate realistic source traffic for such systems. In this
paper we report statistics on different parameters of the WWW browsing
session obtained from actual WWW traces. We also present empirically derived
analytical models for the different parameters . The statistical
characterization of the different parameters directly lends itself to the
development of a more realistic WWW-browser packet generator the basic
details of which are addressed in this paper. This WWW traffic generator
will be very useful in testing the performance of media access protocols and
resource reservation algorithms in broadband access networks.
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Date Issued
1997
Extent
280151 bytes
Resource Type
Text
Resource Subtype
Technical Report