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.DISC.2020.37
URN: urn:nbn:de:0030-drops-131151
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2020/13115/
Ahmadi, Mohamad ;
Kuhn, Fabian
Distributed Maximum Matching Verification in CONGEST
Abstract
We study the maximum cardinality matching problem in a standard distributed setting, where the nodes V of a given n-node network graph G = (V,E) communicate over the edges E in synchronous rounds. More specifically, we consider the distributed CONGEST model, where in each round, each node of G can send an O(log n)-bit message to each of its neighbors. We show that for every graph G and a matching M of G, there is a randomized CONGEST algorithm to verify M being a maximum matching of G in time O(|M|) and disprove it in time O(D + ?), where D is the diameter of G and ? is the length of a shortest augmenting path. We hope that our algorithm constitutes a significant step towards developing a CONGEST algorithm to compute a maximum matching in time Õ(s^*), where s^* is the size of a maximum matching.
BibTeX - Entry
@InProceedings{ahmadi_et_al:LIPIcs:2020:13115,
author = {Mohamad Ahmadi and Fabian Kuhn},
title = {{Distributed Maximum Matching Verification in CONGEST}},
booktitle = {34th International Symposium on Distributed Computing (DISC 2020)},
pages = {37:1--37:18},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-168-9},
ISSN = {1868-8969},
year = {2020},
volume = {179},
editor = {Hagit Attiya},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2020/13115},
URN = {urn:nbn:de:0030-drops-131151},
doi = {10.4230/LIPIcs.DISC.2020.37},
annote = {Keywords: distributed matching, distributed graph algorithms, augmenting paths}
}
Keywords: |
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distributed matching, distributed graph algorithms, augmenting paths |
Collection: |
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34th International Symposium on Distributed Computing (DISC 2020) |
Issue Date: |
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2020 |
Date of publication: |
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07.10.2020 |