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On a Model for the Storage of Files on a Hardware. II. Evolution of a Typical Data Block

Published online by Cambridge University Press:  14 July 2016

Vincent Bansaye*
Affiliation:
Université Pierre et Marie Curie and CNRS
*
Postal address: Laboratoire de Probabilités et Modèles Aléatoires, Université Pierre et Marie Curie, UMR 7599, 175 rue du Chevaleret, 75013 Paris, France. Email address: bansaye@ccr.jussieu.fr
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Abstract

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We consider the generalized version in continuous time of the parking problem of Knuth introduced in Bansaye (2006). Files arrive following a Poisson point process and are stored on a hardware identified with the real line, at the right of their arrival point. Here we study the evolution of the endpoints of the data block straddling 0, which is empty at time 0 and is equal to R at a deterministic time.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 2007 

References

[1] Bansaye, V. (2006). On a model for the storage of files on a hardware I: statistics at a fixed time and asymptotics. Preprint, LPMA, Université Pierre et Marie Curie. Available at http://arxiv.org/abs/math/0611432.Google Scholar
[2] Bertoin, J. (1996). Lévy Processes (Cambridge Tracts Math. 121). Cambridge University Press.Google Scholar
[3] Bertoin, J. (1999). Subordinators: examples and applications. In Lectures on Probability Theory and Statistics (Saint-Flour, 1997; Lecture Notes Math. 1717), Springer, Berlin, pp. 191.CrossRefGoogle Scholar
[4] Bertoin, J. (2000). Subordinators, Lévy processes with no negative Jumps, and branching processes. Lecture notes for MaPhySto. Available at http://www.maphysto.dk/publications/MPS-LN/2000/8.pdf.Google Scholar
[5] Chassaing, P. and Flajolet, P. (2003). Hachage, arbres, chemins and graphes. Gazette Math. 95, 2949.Google Scholar
[6] Chassaing, P. and Louchard, G. (2002). Phase transition for parking blocks, Brownian excursion and coalescence. Random Structures Algorithms 21, 76119.Google Scholar
[7] Feller, W. (1971). An Introduction to Probability Theory and Its Applications, Vol. II, 2nd edn. John Wiley, New York.Google Scholar
[8] Flajolet, P., Poblete, P. and Viola, A. (1998). On the analysis of linear probing hashing. Algorithica 22, 490515.Google Scholar
[9] Foata, D. and Riordan, J. (1974). Mappings of acyclic and parking functions. Aequationes Math. 10, 1022.Google Scholar
[10] Kingman, J. F. C. (1993). Poisson Processes (Oxford Studies Prob. 3). Oxford University Press.Google Scholar
[11] Millar, P. W. (1977). Zero-one laws and the minimum of a Markov process. Trans. Amer. Math. Soc. 226, 365391.Google Scholar
[12] Pitman, J. (2006). Combinatorial Stochastic Processes (Lecture Notes Math. 1875). Springer, Berlin.Google Scholar
[13] Sato, K. (1999). Lévy Processes and Infinitely Divisible Distributions (Cambridge Studies Adv. Math. 68). Cambridge University Press.Google Scholar
[14] Winkel, M. (2005). Electronic foreign-exchange markets and passage events of independent subordinators. J. Appl. Prob. 42, 138152.Google Scholar