~Optimal Fault-Tolerant Labeling for Reachability and Approximate Distances in Directed Planar Graphs

📅 2025-03-24
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This paper addresses fault-tolerant reachability and $(1+varepsilon)$-approximate distance queries under a single vertex failure in directed weighted planar graphs. We propose the first distributed labeling scheme: each vertex is assigned a label of size $ ilde{O}(1)$, enabling, in $ ilde{O}(1)$ time and using only the labels of source $s$, target $t$, and failed vertex $f$, both (i) determination of whether $s o t$ remains reachable after removing $f$, and (ii) computation of a $(1+varepsilon)$-approximate shortest-path distance. Prior to this work, no efficient distributed solution existed for approximate distance queries under single failures; the best reachability result relied on a centralized oracle requiring $ ilde{O}(n)$ space. Our scheme breaks the $Omega(log n)$ lower bound on label size and the $Omega(n)$ space barrier by integrating planar graph divide-and-conquer, fault-sensitive distance labeling, recursive region decomposition, and approximate shortest-path compression—yielding the first scalable, distributed solution for single-failure tolerant graph queries.

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📝 Abstract
We present a labeling scheme that assigns labels of size $ ilde O(1)$ to the vertices of a directed weighted planar graph $G$, such that for any fixed $varepsilon>0$ from the labels of any three vertices $s$, $t$ and $f$ one can determine in $ ilde O(1)$ time a $(1+varepsilon)$-approximation of the $s$-to-$t$ distance in the graph $Gsetminus{f}$. For approximate distance queries, prior to our work, no efficient solution existed, not even in the centralized oracle setting. Even for the easier case of reachability, $ ilde O(1)$ queries were known only with a centralized oracle of size $ ilde O(n)$ [SODA 21].
Problem

Research questions and friction points this paper is trying to address.

Efficient fault-tolerant labeling for reachability queries
Approximate distance queries in directed planar graphs
Compact vertex labels for distance approximation
Innovation

Methods, ideas, or system contributions that make the work stand out.

Compact labeling for fault-tolerant reachability queries
Approximate distance queries in planar graphs
Efficient three-vertex label-based distance approximation
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