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A self-stabilizing algorithm for finding a minimal 2-dominating set assuming the distributed demon model

机译:一种自稳定算法,用于在假设分布式恶魔模型的情况下找到最小的2控制集

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摘要

A 2-dominating set in a distributed system is a set of processors such that each processor outside the set has at least two neighbors in the set. In applications, a 2-dominating set can be considered as an ideal place in the system for allocating resources, and a minimal 2-dominating set allows for the minimum of resources to be allocated. Since a maximal independent set can be viewed as a minimal 1-dominating set, the problem of finding a minimal 2-dominating set extends the problem of finding a maximal independent set in some sense. The distributed demon model for self-stabilizing systems is a natural generalization of the central demon model introduced by Dijkstra. In the past, only a few self-stabilizing algorithms under the distributed demon model have been obtained without using any transformer, and most of these algorithms are for ring networks only. In this paper, we propose a self-stabilizing algorithm that can find a minimal 2-dominating set in any general network in which the distributed demon model is assumed. This proposed algorithm is not obtained via any transformer. We also verify the correctness of the proposed algorithm.
机译:分布式系统中的2个主导集是一组处理器,以使该组之外的每个处理器在该集中具有至少两个邻居。在应用程序中,可以将2个主导集视为系统中分配资源的理想场所,而最小的2个主导集则允许分配最少的资源。由于最大独立集可以看作是最小1占优集,因此找到最小2占优集的问题从某种意义上扩展了找到最大独立集的问题。用于自稳定系统的分布式恶魔模型是Dijkstra引入的中央恶魔模型的自然概括。过去,在不使用任何变压器的情况下,仅获得了少数几种在分布式恶魔模型下的自稳定算法,这些算法中的大多数仅用于环形网络。在本文中,我们提出了一种自稳定算法,该算法可以在假设分布式恶魔模型的任何通用网络中找到最小的2支配集。所提出的算法不能通过任何变压器获得。我们还验证了所提出算法的正确性。

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