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Stabilizing maximum matching in bipartite networks

机译:稳定双向网络中的最大匹配

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A matching E^sub [M-script]^ of graph G = (V, E) is a subset of the edges E, such that no vertex in V is incident to more than one edge in E^sub [M-script]^. The matching E^sub [M-script]^ is maximum if there is no matching in G with size strictly larger than the size of E^sub [M-script]^. In this paper, we present a distributed stabilizing algorithm for finding maximum matching in bipartite graphs based on the stabilizing PIF algorithm of Cournier et al. (Proceedings of 21st IEEE international conference on distributed computing systems, 91-98, 2001). Since our algorithm is stabilizing, it does not require initialization and withstands transient faults. The complexity of the proposed algorithm is O(d × n) rounds, where d is the diameter of the communication network and n is the number of nodes in the network. The space complexity is O(log Δ + log d), where Δ is the largest degree of all the nodes in the communication network. In addition, an optimal version of the proposed algorithm finding maximum matching in linear time is also presented.
机译:图G =(V,E)的匹配E ^ sub [M-script] ^是边E的子集,因此V中没有顶点入射到E ^ sub [M-script]的一个以上边缘^。如果在G中没有大小严格大于E ^ sub [M-script] ^的大小的匹配,则匹配的E ^ sub [M-script] ^最大。在本文中,我们提出了一种基于Cournier等人的稳定化PIF算法的分布式稳定化算法,用于在二部图中找到最大匹配。 (第21届IEEE分布式计算系统国际会议论文集,91-98,2001年)。由于我们的算法稳定,因此不需要初始化并且可以承受瞬态故障。该算法的复杂度为O(d×n)次,其中d为通信网络的直径,n为网络中节点的数量。空间复杂度为O(logΔ+ log d),其中Δ是通信网络中所有节点的最大程度。此外,还提出了在线性时间中找到最大匹配的拟议算法的最佳版本。

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