Abstract
In this study, we first analyze the log data of the web-server system at a Korean company and confirm strong self-similarities that have been reported in a wide range of internet data. Then, we propose a simulation approach to generate arrivals of web page requests based on the conventional familiar probability distributions. We also present a forecasting model to generate future arrivals and test the validity of our approach through real data. Finally, we present our software tool that we developed to analyze web log data.
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© 2006 Springer-Verlag Berlin Heidelberg
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Lee, H.W., Kim, Y.B., Lee, C.H., Seo, W.J., Park, J.S., Yoon, S. (2006). An Empirical Study on a Web Server Queueing System and Traffic Generation by Simulation. In: Madria, S.K., Claypool, K.T., Kannan, R., Uppuluri, P., Gore, M.M. (eds) Distributed Computing and Internet Technology. ICDCIT 2006. Lecture Notes in Computer Science, vol 4317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11951957_33
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DOI: https://doi.org/10.1007/11951957_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68379-7
Online ISBN: 978-3-540-68380-3
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