License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ISAAC.2022.32
URN: urn:nbn:de:0030-drops-173171
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/17317/
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Chung, Lily ; Demaine, Erik D. ; Hendrickson, Dylan ; Lynch, Jayson

Lower Bounds on Retroactive Data Structures

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LIPIcs-ISAAC-2022-32.pdf (0.8 MB)

Abstract

We prove essentially optimal fine-grained lower bounds on the gap between a data structure and a partially retroactive version of the same data structure. Precisely, assuming any one of three standard conjectures, we describe a problem that has a data structure where operations run in O(T(n,m)) time per operation, but any partially retroactive version of that data structure requires T(n,m)⋅m^{1-o(1)} worst-case time per operation, where n is the size of the data structure at any time and m is the number of operations. Any data structure with operations running in O(T(n,m)) time per operation can be converted (via the "rollback method") into a partially retroactive data structure running in O(T(n,m)⋅m) time per operation, so our lower bound is tight up to an m^o(1) factor common in fine-grained complexity.

BibTeX - Entry

@InProceedings{chung_et_al:LIPIcs.ISAAC.2022.32,
  author =	{Chung, Lily and Demaine, Erik D. and Hendrickson, Dylan and Lynch, Jayson},
  title =	{{Lower Bounds on Retroactive Data Structures}},
  booktitle =	{33rd International Symposium on Algorithms and Computation (ISAAC 2022)},
  pages =	{32:1--32:12},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-258-7},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{248},
  editor =	{Bae, Sang Won and Park, Heejin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/17317},
  URN =		{urn:nbn:de:0030-drops-173171},
  doi =		{10.4230/LIPIcs.ISAAC.2022.32},
  annote =	{Keywords: Retroactivity, time travel, rollback, fine-grained complexity}
}

Keywords: Retroactivity, time travel, rollback, fine-grained complexity
Collection: 33rd International Symposium on Algorithms and Computation (ISAAC 2022)
Issue Date: 2022
Date of publication: 14.12.2022

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