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.ICDT.2022.17
URN: urn:nbn:de:0030-drops-158915
URL: https://drops.dagstuhl.de/opus/volltexte/2022/15891/
Go to the corresponding LIPIcs Volume Portal


Meng, Jingfan ; Wang, Huayi ; Xu, Jun ; Ogihara, Mitsunori

A Dyadic Simulation Approach to Efficient Range-Summability

pdf-format:
LIPIcs-ICDT-2022-17.pdf (0.7 MB)


Abstract

Efficient range-summability (ERS) of a long list of random variables is a fundamental algorithmic problem that has applications to three important database applications, namely, data stream processing, space-efficient histogram maintenance (SEHM), and approximate nearest neighbor searches (ANNS). In this work, we propose a novel dyadic simulation framework and develop three novel ERS solutions, namely Gaussian-dyadic simulation tree (DST), Cauchy-DST and Random Walk-DST, using it. We also propose novel rejection sampling techniques to make these solutions computationally efficient. Furthermore, we develop a novel k-wise independence theory that allows our ERS solutions to have both high computational efficiencies and strong provable independence guarantees.

BibTeX - Entry

@InProceedings{meng_et_al:LIPIcs.ICDT.2022.17,
  author =	{Meng, Jingfan and Wang, Huayi and Xu, Jun and Ogihara, Mitsunori},
  title =	{{A Dyadic Simulation Approach to Efficient Range-Summability}},
  booktitle =	{25th International Conference on Database Theory (ICDT 2022)},
  pages =	{17:1--17:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-223-5},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{220},
  editor =	{Olteanu, Dan and Vortmeier, Nils},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/15891},
  URN =		{urn:nbn:de:0030-drops-158915},
  doi =		{10.4230/LIPIcs.ICDT.2022.17},
  annote =	{Keywords: fast range-summation, locality-sensitive hashing, rejection sampling}
}

Keywords: fast range-summation, locality-sensitive hashing, rejection sampling
Collection: 25th International Conference on Database Theory (ICDT 2022)
Issue Date: 2022
Date of publication: 19.03.2022
Supplementary Material: Audiovisual (Video of the Presentation): https://doi.org/10.5446/57488


DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI