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Lower Bounds for Multi-Pass Processing of Multiple Data Streams

Author Nicole Schweikardt



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LIPIcs.STACS.2009.1857.pdf
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Nicole Schweikardt

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Nicole Schweikardt. Lower Bounds for Multi-Pass Processing of Multiple Data Streams. In 26th International Symposium on Theoretical Aspects of Computer Science. Leibniz International Proceedings in Informatics (LIPIcs), Volume 3, pp. 51-62, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2009)
https://doi.org/10.4230/LIPIcs.STACS.2009.1857

Abstract

This paper gives a brief overview of computation models for data stream processing, and it introduces a new model for multi-pass processing of multiple streams, the so-called \emph{mp2s-automata}. Two algorithms for solving the set disjointness problem with these automata are presented. The main technical contribution of this paper is the proof of a lower bound on the size of memory and the number of heads that are required for solving the set disjointness problem with mp2s-automata.
Keywords
  • Data streams
  • Lower bounds
  • Machine models
  • Automata
  • The set disjointness problem

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