@online{GhaffariArXiv2015,
TITLE = {Near-Optimal Distributed Maximum Flow},
AUTHOR = {Ghaffari, Mohsen and Karrenbauer, Andreas and Kuhn, Fabian and Lenzen, Christoph and Patt-Shamir, Boaz},
LANGUAGE = {eng},
URL = {http://arxiv.org/abs/1508.04747},
EPRINT = {1508.04747},
EPRINTTYPE = {arXiv},
YEAR = {2015},
ABSTRACT = {We present a near-optimal distributed algorithm for $(1+o(1))$-approximation of single-commodity maximum flow in undirected weighted networks that runs in $(D+ \sqrt{n})\cdot n^{o(1)}$ communication rounds in the \Congest model. Here, $n$ and $D$ denote the number of nodes and the network diameter, respectively. This is the first improvement over the trivial bound of $O(n^2)$, and it nearly matches the $\tilde{\Omega}(D+ \sqrt{n})$ round complexity lower bound. The development of the algorithm contains two results of independent interest: (i) A $(D+\sqrt{n})\cdot n^{o(1)}$-round distributed construction of a spanning tree of average stretch $n^{o(1)}$. (ii) A $(D+\sqrt{n})\cdot n^{o(1)}$-round distributed construction of an $n^{o(1)}$-congestion approximator consisting of the cuts induced by $O(\log n)$ virtual trees. The distributed representation of the cut approximator allows for evaluation in $(D+\sqrt{n})\cdot n^{o(1)}$ rounds. All our algorithms make use of randomization and succeed with high probability.},
}
