An empirical study on a web server queueing system and traffic generation by simulation

  • Authors:
  • Ho Woo Lee;Yun Bae Kim;Chang Hun Lee;Won Joo Seo;Jin Soo Park;SeungHyun Yoon

  • Affiliations:
  • Dept. of Systems Management Engineering, Sungkyunkwan University, Suwon, Korea(South);Dept. of Systems Management Engineering, Sungkyunkwan University, Suwon, Korea(South);Dept. of Systems Management Engineering, Sungkyunkwan University, Suwon, Korea(South);Dept. of Systems Management Engineering, Sungkyunkwan University, Suwon, Korea(South);Dept. of Systems Management Engineering, Sungkyunkwan University, Suwon, Korea(South);Network Control Platform Technology Team, BcN System Research Group, ETRI, Daejon, Korea(South)

  • Venue:
  • ICDCIT'06 Proceedings of the Third international conference on Distributed Computing and Internet Technology
  • Year:
  • 2006

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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.