Graph Spanners in the Message-Passing Model
Manuel Fernandez, David P. Woodruff, Taisuke Yasuda

TL;DR
This paper investigates the communication complexity of computing graph spanners in a distributed message-passing setting, providing nearly tight bounds for various types of spanners and revealing key separations based on edge distribution.
Contribution
It introduces the first systematic analysis of distributed graph spanner computation, establishing tight bounds and separations for different models and spanner types.
Findings
Nearly tight bounds for additive 2-spanners with and without duplication.
Bounds for multiplicative (2k-1)-spanners in the with duplication model.
Bounds for multiplicative 3 and 5-spanners without duplication.
Abstract
Graph spanners are sparse subgraphs which approximately preserve all pairwise shortest-path distances in an input graph. The notion of approximation can be additive, multiplicative, or both, and many variants of this problem have been extensively studied. We study the problem of computing a graph spanner when the edges of the input graph are distributed across two or more sites in an arbitrary, possibly worst-case partition, and the goal is for the sites to minimize the communication used to output a spanner. We assume the message-passing model of communication, for which there is a point-to-point link between all pairs of sites as well as a coordinator who is responsible for producing the output. We stress that the subset of edges that each site has is not related to the network topology, which is fixed to be point-to-point. While this model has been extensively studied for related…
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