Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2010-11-02
EPTCS 40, 2010, pp. 121-141
Computer Science
Distributed, Parallel, and Cluster Computing
In Proceedings MeCBIC 2010, arXiv:1011.0051
Scientific paper
10.4204/EPTCS.40.9
In this paper, we continue our development of algorithms used for topological network discovery. We present native P system versions of two fundamental problems in graph theory: finding the maximum number of edge- and node-disjoint paths between a source node and target node. We start from the standard depth-first-search maximum flow algorithms, but our approach is totally distributed, when initially no structural information is available and each P system cell has to even learn its immediate neighbors. For the node-disjoint version, our P system rules are designed to enforce node weight capacities (of one), in addition to edge capacities (of one), which are not readily available in the standard network flow algorithms.
Dinneen Michael J.
Kim Yun-Bum
Nicolescu Radu
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