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DOI: 10.4230/LIPIcs.FSTTCS.2016.18
URN: urn:nbn:de:0030-drops-68539
URL: http://drops.dagstuhl.de/opus/volltexte/2016/6853/
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Ganardi, Moses ; Hucke, Danny ; Lohrey, Markus

Querying Regular Languages over Sliding Windows

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LIPIcs-FSTTCS-2016-18.pdf (0.5 MB)


Abstract

We study the space complexity of querying regular languages over data streams in the sliding window model. The algorithm has to answer at any point of time whether the content of the sliding window belongs to a fixed regular language. A trichotomy is shown: For every regular language the optimal space requirement is either in Theta(n), Theta(log(n)), or constant, where $n$ is the size of the sliding window.

BibTeX - Entry

@InProceedings{ganardi_et_al:LIPIcs:2016:6853,
  author =	{Moses Ganardi and Danny Hucke and Markus Lohrey},
  title =	{{Querying Regular Languages over Sliding Windows}},
  booktitle =	{36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2016)},
  pages =	{18:1--18:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-027-9},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{65},
  editor =	{Akash Lal and S. Akshay and Saket Saurabh and Sandeep Sen},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/6853},
  URN =		{urn:nbn:de:0030-drops-68539},
  doi =		{10.4230/LIPIcs.FSTTCS.2016.18},
  annote =	{Keywords: streaming algorithms, regular languages, space complexity}
}

Keywords: streaming algorithms, regular languages, space complexity
Seminar: 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2016)
Issue Date: 2016
Date of publication: 08.12.2016


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