Distributed Weighted All Pairs Shortest Paths Through Pipelining
Distributed Weighted All Pairs Shortest Paths Through Pipelining
复制标题
通过流水线的分布式加权所有对最短路径
DOI:
10.1109/ipdps.2019.00014
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发表时间:
2019
期刊:
影响因子:
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通讯作者:
V. Ramachandran
中科院分区:
文献类型:
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作者:
U. Agarwal;V. Ramachandran
We present new results for the distributed computation of all pairs shortest paths (APSP) in the CONGEST model in an n-node graph with moderate non-negative integer weights. Our methods can handle zero-weight edges which are known to present difficulties for distributed APSP algorithms. The current best deterministic distributed algorithm in the CONGEST model that handles zero weight edges is the Õ(n^3/2)-round algorithm of Agarwal et al. [ARKP18] that works for arbitrary edge weights. Our new deterministic algorithms run in Õ(W^1/4⋅ n^5/4) rounds in graphs with non-negative integer edge-weight at most W, and in Õ(n ⋅ Δ^1/3) rounds for shortest path distances at most Δ. These algorithms are built on top of a new pipelined algorithm we present for this problem that runs in at most 2n √Δ + 2n rounds. Additionally, we show that the techniques in our results simplify some of the procedures in the earlier APSP algorithms for non-negative edge weights in [HNS17, ARKP18]. We also present new results for computing h-hop shortest paths from k given sources, and we present an Õ(n/ε^2)-round deterministic $(1+ε) approximation algorithm for graphs with non-negative poly(n) integer weights, improving results in [Nanongkai14, LP15] that hold only for positive integer weights.