构造深度优先搜索树的分布式算法

S. Makki, G. Havas
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引用次数: 47

摘要

我们提出了更有效的分布式深度优先搜索算法,该算法为通信网络构造了一个深度优先搜索树。在最坏的情况下,算法需要左|V|右|(1 + r)消息和|V|(1 + r)时间单位,其中左|V|右|是网络中站点的数量,而0向左倾斜r + 1。r的值取决于网络拓扑结构,也可能取决于所选择的路由。在最好的情况下,当底层网络具有环形拓扑时,r = 0,我们的基本算法需要V个消息和时间单位,而不考虑路由。我们扩展了该算法,以实现其他拓扑的相同最佳情况边界。最坏的情况是r = 1¿2/左| V右|,适用于网络拓扑是树的情况。通过动态回溯实现了对以前最好算法的改进,消息长度略有增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed Algorithms for Constructing a Depth-First-Search Tree
We present more efficient distributed depth-firstsearch algorithms which construct a depth-first-search tree for a communication network. The algorithms require left| V right|(1 + r) messages and |V|(l + r) units of time in the worst case, where left| V right| is the number of sites in the network, and 0 leqslant r le 1 . The value of r depends on the network topology and possibly on the routing chosen. In the best case, when the underlying network has a ring topology, r = 0 and our basic algorithm requires V messages and time units, regardless of routing. We extend this algorithm to achieve the same best case bound for other topologies. The worst case bound, which has r = 1¿2/left| V right|, applies if the network topology is a tree. The improvement over the best of previous algorithms is achieved by dynamic backtracking, with a minor increase in message length.
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