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Content Provider | ACM Digital Library |
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Author | Pandurangan, Gopal Robinson, Peter Scquizzato, Michele |
Abstract | This paper presents a randomized (Las Vegas) distributed algorithm that constructs a minimum spanning tree (MST) in weighted networks with optimal (up to polylogarithmic factors) time and message complexity. This algorithm runs in à (D + â n) time and exchanges à (m) messages (both with high probability), where n is the number of nodes of the network, D is the diameter, and m is the number of edges. This is the first distributed MST algorithm that matches simultaneously the time lower bound of Ω(D + â n) [Elkin, SIAM J. Comput. 2006] and the message lower bound of Ω(m) [Kutten et al., J. ACM 2015], which both apply to randomized Monte Carlo algorithms. The prior time and message lower bounds are derived using two completely different graph constructions; the existing lower bound construction that shows one lower bound does not work for the other. To complement our algorithm, we present a new lower bound graph construction for which any distributed MST algorithm requires both Ω(D + â n) rounds and Ω(m) messages. . |
Starting Page | 743 |
Ending Page | 756 |
Page Count | 14 |
File Format | |
ISBN | 9781450345286 |
DOI | 10.1145/3055399.3055449 |
Language | English |
Publisher | Association for Computing Machinery (ACM) |
Publisher Date | 2017-06-19 |
Publisher Place | New York |
Access Restriction | Subscribed |
Subject Keyword | Minimum spanning trees Distributed algorithms |
Content Type | Text |
Resource Type | Article |
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