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Generating Web Traffic based on User Behavioral Model

Authors:
Guo-feng Zhao
Min-chang Yu
Chuan Xu
Hong Tang

Keywords: Traffic generation; Pareto Distribution; Markov Model;

Abstract:
Generating Web traffic is of great importance to analyse performance of new designed network, test new equipment, and verify new protocols, etc. Most existing traffic generation systems tend to simulate the overall characteristics of network traffic, while neglecting of the behavior of the individual users. However, in principle, the emerged characteristics of overall traffic originate from the aggregation of individual users’ access behavior. In this paper, we propose an innovative web traffic generating method based on user browsing behavior. Our method simulates the real users’ accessing behavior, and visits the real web servers. Then, we design and develop a web traffic generating system. Because our system accesses the real web, it can produce almost the real network traffic. The test results show that the traffic generated by our system has characteristics of burstiness and self-similarity, which are widely exposed characteristics in real networks; meanwhile, our system better reflects real user’s web browsing behavior.

Pages: 10 to 15

Copyright: Copyright (c) IARIA, 2013

Publication date: July 21, 2013

Published in: conference

ISSN: 2308-443X

ISBN: 978-1-61208-285-1

Location: Nice, France

Dates: from July 21, 2013 to July 26, 2013