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.STACS.2015.460
URN: urn:nbn:de:0030-drops-49348
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2015/4934/
Go to the corresponding LIPIcs Volume Portal


Huang, Zengfeng ; Radunovic, Bozidar ; Vojnovic, Milan ; Zhang, Qin

Communication Complexity of Approximate Matching in Distributed Graphs

pdf-format:
34.pdf (0.7 MB)


Abstract

In this paper we consider the communication complexity of approximation algorithms for maximum matching in a graph in the message-passing model of distributed computation. The input graph consists of n vertices and edges partitioned over a set of k sites. The output is an \alpha-approximate maximum matching in the input graph which has to be reported by one of the sites. We show a lower bound on the communication complexity of \Omega(\alpha^2 k n) and show that it is tight up to poly-logarithmic factors. This lower bound also applies to other combinatorial problems on graphs in the message-passing computation model, including max-flow and graph sparsification.

BibTeX - Entry

@InProceedings{huang_et_al:LIPIcs:2015:4934,
  author =	{Zengfeng Huang and Bozidar Radunovic and Milan Vojnovic and Qin Zhang},
  title =	{{Communication Complexity of Approximate Matching in Distributed Graphs}},
  booktitle =	{32nd International Symposium on Theoretical Aspects of Computer Science (STACS 2015)},
  pages =	{460--473},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-78-1},
  ISSN =	{1868-8969},
  year =	{2015},
  volume =	{30},
  editor =	{Ernst W. Mayr and Nicolas Ollinger},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2015/4934},
  URN =		{urn:nbn:de:0030-drops-49348},
  doi =		{10.4230/LIPIcs.STACS.2015.460},
  annote =	{Keywords: approximate maximum matching, distributed computation, communication complexity}
}

Keywords: approximate maximum matching, distributed computation, communication complexity
Collection: 32nd International Symposium on Theoretical Aspects of Computer Science (STACS 2015)
Issue Date: 2015
Date of publication: 26.02.2015


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