Journal of Digital Information Management Dais George, Sebastian George 9 1 2011 http://www.dline.info/fpaper/jdim/v9i1/3.pdf In this article, we introduce an alternative distribution, namely Esscher transformed Laplace distribution good enough to model the fi le size distribution of Web servers. It exhibits asymmetry, peakedness and tail heaviness, which are common features of fi le size data. Esscher transformed Laplace distribution belongs to one parameter regular exponential family. We derive their representations and obtain explicit forms for their densities, distribution functions and quantile functions. Also the probability R = P(X > Y ) and an asymptotic confi dence interval for R, when X and Y are two independent but not identically distributed Esscher transformed Laplace variables are estimated and its application in the service performance of a Web server is discussed. Extensive simulation studies are carried out to study the performance of these estimators. Finally using real data, we established the goodness of fi t of the proposed distribution to the fi le size distribution of a Web server data.