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On the distribution of the search cost for the move-to-front rule with random weights

Part of: Theory of data Integral transforms, operational calculus Algorithms - Computer Science

Published online by Cambridge University Press:  14 July 2016

Javiera Barrera  and
Christian Paroissin
Javiera Barrera*
Affiliation:
Universidad de Chile, Santiago
Christian Paroissin*
Affiliation:
Universidad de Chile, Santiago
*
∗ Postal address: CMM – UMR 2071, UCHILE-CNRS, Casilla 170-3, Correo 7, Santiago, Chile. Email address: jbarrera@dim.uchile.cl
∗∗ Current address: Université Paris X Nanterre, MODAL’X, 200 avenue de la République, 92001 Nanterre Cedex, France. Email address: cparoiss@u-paris10.fr
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Abstract

Consider a countable list of files updated according to the move-to-front rule. Files have independent random weights, which are used to construct request probabilities. Exact and asymptotic formulae for the Laplace transform of the stationary search cost are given for i.i.d. weights. Similar expressions are derived for the first two moments. Some results are extended to the case of independent weights.

Keywords

Move-to-front ruleLaplace transformLaplace integral

MSC classification

Primary: 68W40: Analysis of algorithms
Secondary: 68P10: Searching and sorting 44A10: Laplace transform
Type
Research Papers
Information
Journal of Applied Probability , Volume 41 , Issue 1 , March 2004 , pp. 250 - 262
Copyright
Copyright © Applied Probability Trust 2004 

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