License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ESA.2017.58
URN: urn:nbn:de:0030-drops-78487
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/7848/
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Maier, Tobias ; Sanders, Peter

Dynamic Space Efficient Hashing

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LIPIcs-ESA-2017-58.pdf (1 MB)

Abstract

We consider space efficient hash tables that can grow and shrink dynamically and are always highly space efficient, i.e., their space consumption is always close to the lower bound even while growing and when taking into account storage that is only needed temporarily. None of the traditionally used hash tables have this property. We show how known approaches like linear probing and bucket cuckoo hashing can be adapted to this scenario by subdividing them into many subtables or using virtual memory overcommitting. However, these rather straightforward solutions suffer from slow amortized insertion times due to frequent reallocation in small increments.

Our main result is DySECT (Dynamic Space Efficient Cuckoo Table) which avoids these problems. DySECT consists of many subtables which grow by doubling their size. The resulting inhomogeneity in subtable sizes is equalized by the flexibility available in bucket cuckoo hashing where each element can go to several buckets each of which containing several cells. Experiments indicate that DySECT works well with load factors up to 98%. With up to 2.7 times better performance than the next best solution.

BibTeX - Entry

@InProceedings{maier_et_al:LIPIcs:2017:7848,
  author =	{Tobias Maier and Peter Sanders},
  title =	{{Dynamic Space Efficient Hashing}},
  booktitle =	{25th Annual European Symposium on Algorithms (ESA 2017)},
  pages =	{58:1--58:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-049-1},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{87},
  editor =	{Kirk Pruhs and Christian Sohler},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7848},
  URN =		{urn:nbn:de:0030-drops-78487},
  doi =		{10.4230/LIPIcs.ESA.2017.58},
  annote =	{Keywords: Dynamic data structures, open addressing, closed hashing, cuckoo hashing, space efficiency}
}

Keywords: Dynamic data structures, open addressing, closed hashing, cuckoo hashing, space efficiency
Collection: 25th Annual European Symposium on Algorithms (ESA 2017)
Issue Date: 2017
Date of publication: 01.09.2017

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