Modelling of Individual and Aggregate Web Traffic

This paper describes the behaviour of individual Web users as well as aggregate HTTP traffic basing on actual traces taken from a transoceanic link between Japan and USA. The proposed model characterises the traffic at different levels, ranging from packets to Web pages. Thus, the study investigates the effects of aggregation on the heavy-tailed nature and the long range dependence present in the variables which govern Internet traffic.

[1]  Paul Barford,et al.  Modeling, measurement and performance of world wide web transactions , 2001 .

[2]  Mark Crovella,et al.  Self - similarity in World Wide Web: Evidence and possible causes , 1997 .

[3]  Robert T. Braden,et al.  Requirements for Internet Hosts - Communication Layers , 1989, RFC.

[4]  Biplab Sikdar,et al.  On the Contribution of TCP to the Self-Similarity of Network Traffic , 2001, IWDC.

[5]  Eduardo Casilari-Pérez,et al.  Characterisation of Web traffic , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[6]  Jin Cao,et al.  Internet Traffic Tends Toward Poisson and Independent as the Load Increases , 2003 .

[7]  Bo Ryu,et al.  Fractal traffic models for Internet simulation , 2000, Proceedings ISCC 2000. Fifth IEEE Symposium on Computers and Communications.

[8]  Maurizio Molina,et al.  Web traffic modeling exploiting TCP connections' temporal clustering through HTML-REDUCE , 2000, IEEE Netw..

[9]  Javier Aracil,et al.  Characterizing Internet load as a non-regular multiplex of TCP streams , 2000, Proceedings Ninth International Conference on Computer Communications and Networks (Cat.No.00EX440).

[10]  J. Bí C. Anta,et al.  Proceedings of the Fifth IEEE Symposium on Computers and Communications (ISCC 2000), 4-6 July 2000, Antibes, France , 2000, ISCC.

[11]  David D. Denison,et al.  Nonlinear estimation and classification , 2003 .

[12]  Jon M. Peha,et al.  Effect of TCP on self-similarity of network traffic , 2003, Proceedings. 12th International Conference on Computer Communications and Networks (IEEE Cat. No.03EX712).

[13]  Bruce A. Mah,et al.  An empirical model of HTTP network traffic , 1997, Proceedings of INFOCOM '97.

[14]  Anja Feldmann,et al.  Characteristics of TCP Connection Arrivals , 2002 .

[15]  Lwkkuhvshfwwwrwkhhvlpsohprgholqjjdssurdfkkzhhrewdl Dqggprghohgggdwddvhw.  Measurement and Modeling of WWW-Sessions , 1997 .

[16]  Hyoung-Kee Choi,et al.  A behavioral model of Web traffic , 1999, Proceedings. Seventh International Conference on Network Protocols.

[17]  Joachim Charzinski.  Measured HTTP performance and fun factors , 2001 .

[18]  Vladimir A. Bolotin.  Modeling call holding time distributions for CCS network design and performance analysis , 1994, IEEE J. Sel. Areas Commun..

[19]  A. Reyes-Lecuona,et al.  traffic model for wireless system simulations , 2001 .

[20]  Azer Bestavros,et al.  Self-similarity in World Wide Web traffic: evidence and possible causes , 1997, TNET.

[21]  Azer Bestavros,et al.  Explaining World Wide Web Traffic Self-Similarity , 1995 .

[22]  Kihong Park,et al.  On the relationship between file sizes, transport protocols, and self-similar network traffic , 1996, Proceedings of 1996 International Conference on Network Protocols (ICNP-96).

[23]  Akira Kato,et al.  Traffic Data Repository at the WIDE Project , 2000, USENIX Annual Technical Conference, FREENIX Track.