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AN ITERATIVE ALGORITHM FOR THE MINIMUM BROADCAST TIME PROBLEM

机译:一种迭代算法,用于最小广播时间问题

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Broadcasting is the problem of dissemination of information in which one piece of information needs to be transmitted to a group of individuals connected by an interconnection network. Finding an optimum strategy for broadcasting, such that this process is accomplished in minimum time, has been proven to be NP-complete, for an arbitrary network. Therefore, some heuristic algorithms have been developed for finding the minimum broadcast time of a network, usually modelled as a simple graph. To our knowledge, the best known heuristic works in O (Rnm), for the entire graph, where R is the approximate broadcasting time, n is the number of vertices, and m is the number of edges. In this paper we propose a global, iterative heuristic for finding the minimum broadcast time for the entire graph, being the first algorithm of this kind in the area. The algorithm uses a new interesting property of the optimal broadcast schemes that we have found. The algorithm behaves well in practice, especially for strongly irregular topologies, working in O (knm) time and O (n{sup}2) space, where k is the number of iterations, n the number of vertices, and m the number of edges.
机译:广播是传播信息的信息,其中需要将一条信息传送到由互连网络连接的一组个体。寻找最佳的广播策略,使得该过程在最短时间内完成,已被证明是NP-Complete,用于任意网络。因此,已经开发了一些启发式算法用于查找网络的最小广播时间,通常建模为简单的图形。为了我们的知识,对于整个图表,其中R是近似广播时间的全图,是最着名的启发式作品,n是顶点的数量,并且m是边的数量。在本文中,我们提出了一个全局迭代的启发式,用于找到整个图表的最小广播时间,是该地区的第一个算法。该算法使用我们找到的最佳广播方案的新有趣属性。该算法在实践中表现良好,特别是对于强烈不规则的拓扑,在O(KNM)时间和O(n {sup} 2)空间中,其中k是迭代的数量,n个顶点的数量,以及m的数量边缘。

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