Title
Near-Optimal Distributed Maximum Flow
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 + root n) . 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 (Omega) over tilde (D + root n)-round complexity lower bound. The development of the algorithm entails two subresults of independent interest: (i) A (D + root n) . n(o(1))-round distributed construction of a spanning tree of average stretch n(o(1)). (ii) A (D + root n) . n(o(1))-round distributed construction of an n(o(1))-congestion approximator consisting of the cuts induced by O(logn) virtual trees. The distributed representation of the cut approximator allows for evaluation in (D + root n) n(o(1)) rounds. All our algorithms make use of randomization and succeed with high probability.
Year
DOI
Venue
2015
10.1137/17M113277X
SIAM JOURNAL ON COMPUTING
Keywords
Field
DocType
CONGEST model,congestion approximator,approximation algorithm,gradient descent
Discrete mathematics,Data structure,Approximation algorithm,Combinatorics,Gradient descent,Distributed algorithm,Maximum flow problem,Mathematics
Journal
Volume
Issue
ISSN
47
6
0097-5397
Citations 
PageRank 
References 
4
0.43
15
Authors
5
Name
Order
Citations
PageRank
Mohsen Ghaffari145244.89
Andreas Karrenbauer213320.21
Fabian Kuhn32709150.17
Christoph Lenzen458440.61
Boaz Patt-shamir51347105.94