无限网络,停止和局部算法

Antti Kuusisto
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引用次数: 10

摘要

最近,人们对局部算法(即常数时间分布式算法)的兴趣越来越大。在最近对该主题的调查中(Suomela, ACM Computing Surveys, 2013),有人认为局部算法提供了一个自然框架,可以在有限时间内理论上控制无限网络。我们研究了分布式计算模型的综合集合,并证明了如果所研究的结构类中包含无限网络,那么每一个普遍停止的分布式算法实际上都是一个局部算法。为了对比这个结果,我们表明,如果只允许有限的网络,那么即使是非常弱的分布式计算模型也可以定义非局部算法,这些算法可以在任何地方停止。本文的研究延续了(Hella et al., PODC 2012)和(Kuusisto, CSL 2013)中对逻辑和分布式计算交叉领域的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Infinite Networks, Halting and Local Algorithms
The immediate past has witnessed an increased amount of interest in local algorithms, i.e., constant time distributed algorithms. In a recent survey of the topic (Suomela, ACM Computing Surveys, 2013), it is argued that local algorithms provide a natural framework that could be used in order to theoretically control infinite networks in finite time. We study a comprehensive collection of distributed computing models and prove that if infinite networks are included in the class of structures investigated, then every universally halting distributed algorithm is in fact a local algorithm. To contrast this result, we show that if only finite networks are allowed, then even very weak distributed computing models can define nonlocal algorithms that halt everywhere. The investigations in this article continue the studies in the intersection of logic and distributed computing initiated in (Hella et al., PODC 2012) and (Kuusisto, CSL 2013).
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