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The Move-To-Front Rule for Self-Organizing Lists with Markov Dependent Requests

  • Robert P. Dobrow
  • James Allen Fill
Part of the The IMA Volumes in Mathematics and its Applications book series (IMA, volume 72)

Abstract

We consider the move-to-front self-organizing linear search heuristic where the sequence of record requests is a Markov chain. Formulas are derived for the transition probabilities and stationary distribution of the permutation chain. The spectral structure of the chain is presented explicitly. Bounds on the discrepancy from stationarity for the permutation chain are computed in terms of the corresponding discrepancy for the request chain, both for separation and for total variation distance.

Key words

Markov chains self-organizing search move-to-front rule convergence to stationarity separation total variation distance coupling 

AMS(MOS) subject classifications

Primary

60J10

secondary

68PI0, 68P05

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Copyright information

© Springer Science+Business Media New York 1995

Authors and Affiliations

  • Robert P. Dobrow
    • 1
  • James Allen Fill
    • 2
  1. 1.NISTGaithersburgUSA
  2. 2.The Department of Mathematical SciencesJohns Hopkins UniversityBaltimoreUSA

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