Optimal Distributed Replacement Paths

Fuente: arXiv
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Autori principali: Chang, Yi-Jun, Chen, Yanyu, Dey, Dipan, Mishra, Gopinath, Nguyen, Hung Thuan, Sanchez, Bryce
Natura: Preprint
Pubblicazione: 2025
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author Chang, Yi-Jun
Chen, Yanyu
Dey, Dipan
Mishra, Gopinath
Nguyen, Hung Thuan
Sanchez, Bryce
author_facet Chang, Yi-Jun
Chen, Yanyu
Dey, Dipan
Mishra, Gopinath
Nguyen, Hung Thuan
Sanchez, Bryce
contents We study the replacement paths problem in the $\mathsf{CONGEST}$ model of distributed computing. Given an $s$-$t$ shortest path $P$, the goal is to compute, for every edge $e$ in $P$, the shortest-path distance from $s$ to $t$ avoiding $e$. For unweighted directed graphs, we establish the tight randomized round complexity bound for this problem as $\widetildeΘ(n^{2/3} + D)$ by showing matching upper and lower bounds. Our upper bound extends to $(1+ε)$-approximation for weighted directed graphs. Our lower bound applies even to the second simple shortest path problem, which asks only for the smallest replacement path length. These results improve upon the very recent work of Manoharan and Ramachandran (SIROCCO 2024), who showed a lower bound of $\widetildeΩ(n^{1/2} + D)$ and an upper bound of $\widetilde{O}(n^{2/3} + \sqrt{n h_{st}} + D)$, where $h_{st}$ is the number of hops in the given $s$-$t$ shortest path $P$.
format Preprint
id arxiv_https___arxiv_org_abs_2502_15378
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Optimal Distributed Replacement Paths
Chang, Yi-Jun
Chen, Yanyu
Dey, Dipan
Mishra, Gopinath
Nguyen, Hung Thuan
Sanchez, Bryce
Data Structures and Algorithms
Distributed, Parallel, and Cluster Computing
We study the replacement paths problem in the $\mathsf{CONGEST}$ model of distributed computing. Given an $s$-$t$ shortest path $P$, the goal is to compute, for every edge $e$ in $P$, the shortest-path distance from $s$ to $t$ avoiding $e$. For unweighted directed graphs, we establish the tight randomized round complexity bound for this problem as $\widetildeΘ(n^{2/3} + D)$ by showing matching upper and lower bounds. Our upper bound extends to $(1+ε)$-approximation for weighted directed graphs. Our lower bound applies even to the second simple shortest path problem, which asks only for the smallest replacement path length. These results improve upon the very recent work of Manoharan and Ramachandran (SIROCCO 2024), who showed a lower bound of $\widetildeΩ(n^{1/2} + D)$ and an upper bound of $\widetilde{O}(n^{2/3} + \sqrt{n h_{st}} + D)$, where $h_{st}$ is the number of hops in the given $s$-$t$ shortest path $P$.
title Optimal Distributed Replacement Paths
topic Data Structures and Algorithms
Distributed, Parallel, and Cluster Computing
url https://arxiv.org/abs/2502.15378