Abstract
Many new factors influence on Internet Traffic nowadays including new features of HTTP/1.1, introduction of new browsers, extremely high penetration of P2P applications and changes in WEB content. A new Toolkit was used by authors to measure Traffic on access network of 1500 users in the center of Moscow. The collected data was handled for 2 levels: TCP connections level and HTTP Message level. Intervals between TCP connections and HTTP Request and Response Length were studied in details. Based on the collected statistics a new HTTP Traffic Model was built by using NS2 simulator and PackMIME package.
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References
The Academic Research group at Sprint, https://research.sprintlabs.com/index.php
CAIDA Internet Data - Realtime Monitors, http://www.caida.org/data/realtime/index.xml
Tobi Oetiker’s MRTG - The Multi Router Traffic Grapher, http://oss.oetiker.ch/mrtg/
PRTG Network Monitor, http://www.paessler.com/prtg
Cisco IOS NetFlow, http://www.cisco.com/en/US/products/ps6645/products_ios_protocol_option_home.html
JUNOSe J-Flow, http://www.juniper.net/techpubs/software/erx/junose82/swconfig-ip-services/html/ip-jflow-stats-config2.html
Wireshark network protocol analyzer, http://www.wireshark.org/
Shuai, L., Xie, G., Yang, J.: Characterization of HTTP Behavior on Access Networks in Web 2.0. In: Telecommunications, 2008. ICT 2008, pp. 1–6. St. Petersburg (2008)
Mah, B.: An Empirical Model of HTTP Network Traffic. In: INFOCOM 1997. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies, Driving the Information Revolution, p. 592. IEEE Computer Society, Washington (1997)
Smith, D., Hernández Campos, F., Jeffay, F., Ott, D.: What TCP/IP Protocol Headers Can Tell Us About the Web. In: ACM SIGMETRICS Performance Evaluation Review, pp. 245–256. ACM, New York (2001)
Crovella, M., Bestavros, A.: Self-similarity in World Wide Web Traffic: Evidence and Possible Causes. IEEE/ACM Transactions on Networking 5(6), 835–846 (1997)
Hyoung-Kee, C., Limb, J.: A Behavioral Model of Web Traffic. In: Proceedings of the Seventh Annual International Conference on Network Protocols, p. 327. IEEE Computer Society, Washington (1999)
Hopkins, A.: Optimizing Page Load Time, http://www.die.net/musings/page_load_time/
The Network Simulator – NS2, http://www.isi.edu/nsnam/ns/
Cao, J., Cleveland, W., Gao, Y., Jeffay, K., Smith, F., Weigle, M.: Stochastic Models for Generating Synthetic HTTP Source Traffic. In: INFOCOM 2004. Twenty-third AnnualJoint Conference of the IEEE Computer and Communications Societies, Hong Kong, vol. 3, pp. 1546–1547 (2004)
Cranor, C., Johnson, T.: Gigascope, Spatscheck O.: How to monitor network traffic 5Gbit/sec at a time. AT&T Labs (2003)
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Deart, V., Mankov, V., Pilugin, A. (2009). HTTP Traffic Measurements on Access Networks, Analysis of Results and Simulation. In: Balandin, S., Moltchanov, D., Koucheryavy, Y. (eds) Smart Spaces and Next Generation Wired/Wireless Networking. ruSMART NEW2AN 2009 2009. Lecture Notes in Computer Science, vol 5764. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04190-7_17
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DOI: https://doi.org/10.1007/978-3-642-04190-7_17
Publisher Name: Springer, Berlin, Heidelberg
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