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.2018.30
URN: urn:nbn:de:0030-drops-98194
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9819/
Ghaffari, Mohsen ;
Kuhn, Fabian
Distributed MST and Broadcast with Fewer Messages, and Faster Gossiping
Abstract
We present a distributed minimum spanning tree algorithm with near-optimal round complexity of O~(D+sqrt{n}) and message complexity O~(min{n^{3/2}, m}). This is the first algorithm with sublinear message complexity and near-optimal round complexity and it improves over the recent algorithms of Elkin [PODC'17] and Pandurangan et al. [STOC'17], which have the same round complexity but message complexity O~(m). Our method also gives the first broadcast algorithm with o(n) time complexity - when that is possible at all, i.e., when D=o(n) - and o(m) messages. Moreover, our method leads to an O~(sqrt{nD})-round GOSSIP algorithm with bounded-size messages. This is the first such algorithm with a sublinear round complexity.
BibTeX - Entry
@InProceedings{ghaffari_et_al:LIPIcs:2018:9819,
author = {Mohsen Ghaffari and Fabian Kuhn},
title = {{Distributed MST and Broadcast with Fewer Messages, and Faster Gossiping}},
booktitle = {32nd International Symposium on Distributed Computing (DISC 2018)},
pages = {30:1--30:12},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-092-7},
ISSN = {1868-8969},
year = {2018},
volume = {121},
editor = {Ulrich Schmid and Josef Widder},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2018/9819},
URN = {urn:nbn:de:0030-drops-98194},
doi = {10.4230/LIPIcs.DISC.2018.30},
annote = {Keywords: Distributed Algorithms, Minimum Spanning Tree, Round Complexity, Message Complexity, Gossiping, Broadcast}
}
Keywords: |
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Distributed Algorithms, Minimum Spanning Tree, Round Complexity, Message Complexity, Gossiping, Broadcast |
Collection: |
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32nd International Symposium on Distributed Computing (DISC 2018) |
Issue Date: |
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2018 |
Date of publication: |
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04.10.2018 |