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Measuring the Gap: Algorithmic Approximation Bounds for the Space Complexity of Stream Specifications

Publikation: Preprints, Working Paper und ForschungsberichteVorabpublikation

Abstract

In previous work we presented an algorithmic procedure for analysing the space complexity of monitor specifications written in a fragment of predicate logic. These monitor specifications were developed for runtime monitoring of event streams. Our procedure provides accurate results for a large fragment of the possible specifications, but overestimates the space complexity of precisely those specifications which are more likely to be found in real world applications. Experiments hinted at a relationship between the extent our procedure over-approximates the space requirements of a specification and the quantifier structure of the specification. In this paper we provide a formalization of this relationship as approximation ratios, and are able to pinpoint ``good'' constructions, that is specifications using less memory. These results are first steps towards categorizing specifications based on memory efficiency. Notiz zur Publikation: submitted.
OriginalspracheEnglisch
ErscheinungsortHagenberg, Linz
HerausgeberRISC, JKU
Seitenumfang12
PublikationsstatusVeröffentlicht - Nov. 2016

Publikationsreihe

NameRISC Report Series

Wissenschaftszweige

  • 101 Mathematik
  • 101001 Algebra
  • 101005 Computeralgebra
  • 101009 Geometrie
  • 101012 Kombinatorik
  • 101013 Mathematische Logik
  • 101020 Technische Mathematik

JKU-Schwerpunkte

  • Computation in Informatics and Mathematics

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