This paper presents a simple and efficient approach for finding the bridges and failure points in a densely connected network mapped as a graph. The algorithm presented here is a parallel algorithm which works in a distributed environment. The main idea of our algorithm is to generate a sparse certificate for a graph and finds bridges using a simple DFS (Depth First Search). We first decompose the graph into independent and minimal subgraphs using a minimum spanning forest algorithm. To identify the bridges in the graph network, we convert these subgraphs into a single compressed graph and use a DFS approach to find bridges. The approach presented here is optimized for the use cases of dense graphs and gives the time complexity of O(E/M + Vlog(M)), for a given graph G(V,E) running on M machines.
翻译:本文展示了一种简单而有效的方法,用于在以图表绘制的密连网络中查找桥梁和故障点。这里介绍的算法是一种平行算法,在分布式环境中起作用。我们算法的主要理念是生成一张稀疏的图表证书,并使用简单的DFS(Deph First搜索)找到桥梁。我们首先使用一个最小的覆盖森林算法将图表分解成独立和最小的子集。为了识别图形网络中的桥梁,我们将这些子集转换成一个单一的压缩图形,并使用DFS方法查找桥梁。这里介绍的方法是优化的,用于使用密度图形案例,并给出在M机器上运行的给定的G(V,E)图形的O(E/M+Vlog(M))的时间复杂性。