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Fast Self-Stabilizing Minimum Spanning Tree Construction Using Compact Nearest Common Ancestor Labeling Scheme

Distributed, Parallel, and Cluster Computing 2013-11-05 v1 Data Structures and Algorithms Networking and Internet Architecture

Abstract

We present a novel self-stabilizing algorithm for minimum spanning tree (MST) construction. The space complexity of our solution is O(log2n)O(\log^2n) bits and it converges in O(n2)O(n^2) rounds. Thus, this algorithm improves the convergence time of previously known self-stabilizing asynchronous MST algorithms by a multiplicative factor Θ(n)\Theta(n), to the price of increasing the best known space complexity by a factor O(logn)O(\log n). The main ingredient used in our algorithm is the design, for the first time in self-stabilizing settings, of a labeling scheme for computing the nearest common ancestor with only O(log2n)O(\log^2n) bits.

Keywords

Cite

@article{arxiv.1311.0798,
  title  = {Fast Self-Stabilizing Minimum Spanning Tree Construction Using Compact Nearest Common Ancestor Labeling Scheme},
  author = {Lélia Blin and Shlomi Dolev and Maria Gradinariu Potop-Butucaru and Stephane Rovedakis},
  journal= {arXiv preprint arXiv:1311.0798},
  year   = {2013}
}
R2 v1 2026-06-22T02:00:43.723Z