2 research outputs found
A Deterministic Distributed Algorithm for Exact Weighted All-Pairs Shortest Paths in Rounds
We present a deterministic distributed algorithm to compute all-pairs
shortest paths(APSP) in an edge-weighted directed or undirected graph. Our
algorithm runs in rounds in the Congest model, where
is the number of nodes in the graph. This is the first rounds
deterministic distributed algorithm for the weighted APSP problem. Our
algorithm is fairly simple and incorporates a deterministic distributed
algorithm we develop for computing a `blocker set' \cite{King99}, which has
been used earlier in sequential dynamic computation of APSP
New and Simplified Distributed Algorithms for Weighted All Pairs Shortest Paths
We consider the problem of computing all pairs shortest paths (APSP) and
shortest paths for k sources in a weighted graph in the distributed CONGEST
model. For graphs with non-negative integer edge weights (including zero
weights) we build on a recent pipelined algorithm to obtain
in graphs with non-negative integer
edge-weight at most , and
rounds for shortest path distances at most . Additionally, we
simplify some of the procedures in the earlier APSP algorithms for non-negative
edge weights in [HNS17,ARKP18]. We also present results for computing h-hop
shortest paths and shortest paths from given sources.
In other results, we present a randomized exact APSP algorithm for graphs
with arbitrary edge weights that runs in rounds w.h.p. in
n, which improves the previous best bound, which is
deterministic. We also present an -round deterministic
approximation algorithm for graphs with non-negative
integer weights (including zero edge-weights), improving results in
[Nanongkai14,LP15] that hold only for positive integer weights.Comment: arXiv admin note: text overlap with arXiv:1807.0882