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Conference Paper An Empirical Study on a Web Server Queueing System and Traffic Generation by Simulation
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Authors
Ho Woo Lee, Yun Bae Kim, Chang Hun Lee, Won Joo Seo, Jin Soo Park, Seung Hyun Yoon
Issue Date
2006-12
Citation
International Conference on Distributed Computing and Internet Technology (ICDCIT) 2006 (LNCS 4317), v.4317, pp.375-388
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1007/11951957_33
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.
KSP Keywords
Empirical study, Internet data, Probability distribution, Real data, Traffic Generation, Web log data, Web page, Web server, Wide range, forecasting model, queueing system