Adaptive linear list reorganization for a system processing set queries. Valiveti, R. S., Oommen, B. J., & Zgierski, J. R. In Fundamentals of Computation Theory, pages 405–414. Springer Berlin Heidelberg. abstract bibtex The problem of reorganizing a linear list, when the individual records are accessed independently, has been well studied. In this paper, self-organizing linear list heuristics are examined under a more general query system which allows accesses to any subset of the list of elements. We propose a pragmatic model for the query generator, characterized by a set of parameters of size equal to the number of elements in the list. We derive the distribution of accesses to the individual records of the list, and show that these accesses are statistically dependent. Throughout this paper, the set accesses are processed by serializing the set elements.
@InProceedings{ valiveti_adaptive_1991,
location = {Berlin, Heidelberg},
title = {Adaptive linear list reorganization for a system
processing set queries},
isbn = {978-3-540-38391-8},
abstract = {The problem of reorganizing a linear list, when the
individual records are accessed independently, has been
well studied. In this paper, self-organizing linear list
heuristics are examined under a more general query system
which allows accesses to any subset of the list of
elements. We propose a pragmatic model for the query
generator, characterized by a set of parameters of size
equal to the number of elements in the list. We derive the
distribution of accesses to the individual records of the
list, and show that these accesses are statistically
dependent. Throughout this paper, the set accesses are
processed by serializing the set elements.},
pages = {405--414},
booktitle = {Fundamentals of Computation Theory},
publisher = {Springer Berlin Heidelberg},
author = {Valiveti, R. S. and Oommen, B. J. and Zgierski, J. R.},
editor = {Budach, L.},
date = {1991}
}
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