A Analysis of Heavy Tailed Distribution for Files in Web Servers Using TTT Plot Technique 


Vol. 10,  No. 3, pp. 189-198, Aug.  2003
10.3745/KIPSTA.2003.10.3.189


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  Abstract

In this paper, we propose a method of analysis to show the heavy-tailed statistical distribution of file sizes in web servers, using TTT plot technique. TTT plot technique, a well-known method in the area of reliability engineering, determines that a distribution of samples follows a heavy tailed one when their TTT statistical plots are lied on a straight line. We performed an intensive simulation using data gathered from real web servers. The simulation indicates that the proposed method is superior to Hill estimation technique or LLCD plot method in efficiency of data analysis. Moreover, the proposed method eliminates the possible decision error, which Pareto distribution or traditional method might cause.

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[IEEE Style]

J. S. Mu, L. S. Yong, J. J. Sun, S. J. Sin, Y. H. Yeong, C. G. Hui, "A Analysis of Heavy Tailed Distribution for Files in Web Servers Using TTT Plot Technique," The KIPS Transactions:PartA, vol. 10, no. 3, pp. 189-198, 2003. DOI: 10.3745/KIPSTA.2003.10.3.189.

[ACM Style]

Jeong Seong Mu, Lee Sang Yong, Jang Jung Sun, Song Jae Sin, Yu Hae Yeong, and Choe Gyeong Hui. 2003. A Analysis of Heavy Tailed Distribution for Files in Web Servers Using TTT Plot Technique. The KIPS Transactions:PartA, 10, 3, (2003), 189-198. DOI: 10.3745/KIPSTA.2003.10.3.189.

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