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.ICALP.2021.19
URN: urn:nbn:de:0030-drops-140887
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/14088/
Assadi, Sepehr ;
Behnezhad, Soheil
Beating Two-Thirds For Random-Order Streaming Matching
Abstract
We study the maximum matching problem in the random-order semi-streaming setting. In this problem, the edges of an arbitrary n-vertex graph G = (V, E) arrive in a stream one by one and in a random order. The goal is to have a single pass over the stream, use O(n ⋅ polylog) space, and output a large matching of G.
We prove that for an absolute constant ε₀ > 0, one can find a (2/3 + ε₀)-approximate maximum matching of G using O(n log n) space with high probability. This breaks the natural boundary of 2/3 for this problem prevalent in the prior work and resolves an open problem of Bernstein [ICALP'20] on whether a (2/3 + Ω(1))-approximation is achievable.
BibTeX - Entry
@InProceedings{assadi_et_al:LIPIcs.ICALP.2021.19,
author = {Assadi, Sepehr and Behnezhad, Soheil},
title = {{Beating Two-Thirds For Random-Order Streaming Matching}},
booktitle = {48th International Colloquium on Automata, Languages, and Programming (ICALP 2021)},
pages = {19:1--19:13},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-195-5},
ISSN = {1868-8969},
year = {2021},
volume = {198},
editor = {Bansal, Nikhil and Merelli, Emanuela and Worrell, James},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2021/14088},
URN = {urn:nbn:de:0030-drops-140887},
doi = {10.4230/LIPIcs.ICALP.2021.19},
annote = {Keywords: Maximum Matching, Streaming, Random-Order Streaming}
}
Keywords: |
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Maximum Matching, Streaming, Random-Order Streaming |
Collection: |
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48th International Colloquium on Automata, Languages, and Programming (ICALP 2021) |
Issue Date: |
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2021 |
Date of publication: |
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02.07.2021 |