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Design of statistical information media: Time performances and storage constraints

  • G. Barcaroli
  • G. Di Battista
  • E. Fortunato
  • C. Leporelli
Contributed Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 339)

Abstract

A statistical database can be seen as a set of tables and a set of derivation functions; each function maps a set of tables into a new one. In order to optimize the time performance of the system it would be convenient to store the derived tables in secondary memory. However, a trade-off between storage resources and time performance arises: when the storage space is constrained, it is necessary to choose which derived tables have to be stored and which of them have to be computed on-line. In this paper such trade-off problem is investigated. We formulate it as an integer linear program, both for monadic and for polyadic derivation functions. In the first case we obtain a Simple Plant Location problem with a linear Knapsack constraint; in the second case the obtained program is equivalent to a Simple Plant Location problem with a submodular Knapsack constraint. Moreover we show that the problem is NP-complete and propose an efficient heuristic approach to solve it.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1989

Authors and Affiliations

  • G. Barcaroli
    • 1
    • 3
  • G. Di Battista
    • 2
    • 3
  • E. Fortunato
    • 1
    • 3
  • C. Leporelli
    • 2
    • 3
  1. 1.Istituto Centrale di Statistica (ISTAT)RomaItalia
  2. 2.Dipartimento di Informatica e SistemisticaUniversita' di RomaItalia
  3. 3."La Sapienza"RomaItalia

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