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Distributed Algorithms for Low Stretch Spanning Trees

Authors Ruben Becker, Yuval Emek, Mohsen Ghaffari, Christoph Lenzen

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Subject Classification

ACM Subject Classification
  • Mathematics of computing → Graph algorithms
  • Theory of computation → Distributed algorithms
Keywords
  • distributed graph algorithms
  • low-stretch spanning trees
  • CONGEST model
  • ball decomposition
  • star decomposition

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Abstract

Given an undirected graph with integer edge lengths, we study the problem of approximating the distances in the graph by a spanning tree based on the notion of stretch. Our main contribution is a distributed algorithm in the CONGEST model of computation that constructs a random spanning tree with the guarantee that the expected stretch of every edge is O(log^{3} n), where n is the number of nodes in the graph. If the graph is unweighted, then this algorithm can be implemented to run in O(D) rounds, where D is the hop-diameter of the graph, thus being asymptotically optimal. In the weighted case, the run-time of our algorithm matches the currently best known bound for exact distance computations, i.e., O~ (min{sqrt{n D}, sqrt{n} D^{1 / 4} + n^{3 / 5} + D}). We stress that this is the first distributed construction of spanning trees leading to poly-logarithmic expected stretch with non-trivial running time.

Cite As Get BibTex

Ruben Becker, Yuval Emek, Mohsen Ghaffari, and Christoph Lenzen. Distributed Algorithms for Low Stretch Spanning Trees. In 33rd International Symposium on Distributed Computing (DISC 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 146, pp. 4:1-4:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019) https://doi.org/10.4230/LIPIcs.DISC.2019.4

Author Details

Ruben Becker
  • Gran Sasso Science Institute, L'Aquila, Italy
Yuval Emek
  • Technion - Israel Institute of Technology, Haifa, Israel
Mohsen Ghaffari
  • ETH Zurich, Switzerland
Christoph Lenzen
  • MPI for Informatics, Saarland Informatics Campus, Saarbrücken, Germany

Funding

  • Becker, Ruben: This work has been partially supported by the Italian MIUR PRIN 2017 Project ALGADIMAR "Algorithms, Games, and Digital Markets".
  • Emek, Yuval: This work has been supported in part by an Israeli Science Foundation grant number 1016/17.

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