Scaling algorithms for network problems
Journal of Computer and System Sciences
A new approach to the maximum-flow problem
Journal of the ACM (JACM)
Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
On the parallel implementation of Goldberg's maximum flow algorithm
SPAA '92 Proceedings of the fourth annual ACM symposium on Parallel algorithms and architectures
An introduction to distributed algorithms
An introduction to distributed algorithms
Beyond the flow decomposition barrier
Journal of the ACM (JACM)
An analysis of the highest-level selection rule in the preflow-push max-flow algorithm
Information Processing Letters
Theoretical Improvements in Algorithmic Efficiency for Network Flow Problems
Journal of the ACM (JACM)
IEEE Transactions on Information Theory
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We present a new algorithm that solves the problem of distributively determining the maximum flow in an asynchronous network. This distributed algorithm is based on the preflow-push technique. Sequential processes, executing the same code over local data, exchange messages with neighbors to establish the max flow. This algorithm is derived to the case of multiple sources and/or sinks without modifications. For a network of n nodes and m arcs, the algorithm achieves O(n2m) message complexity and O(n2) time complexity.