Constant Space Self-Stabilizing Center Finding in Anonymous Tree Networks

A. Datta, L. Larmore, T. Masuzawa
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引用次数: 3

Abstract

It is known that there is no self-stabilizing silent distributed algorithm for finding the center (or centers) of an anonymous tree network that uses less than O(log diam) space per process, where diam is the diameter of the tree. In this paper, a self-stabilizing, but non-silent, distributed algorithm, STC, for this problem is given, which takes O(diam) rounds under the unfair daemon and uses O(1) space per process. The method is to first construct a silent O(1)-space algorithm for the problem that works under the synchronous daemon, provided it has a clean start. A transformer is then constructed, which transforms any tree algorithm which is silent under the synchronous algorithm given a clean start into an equivalent non-silent self-stabilizing algorithm with the same asymptotic space complexity. The desired center finding algorithm, CSTC, is then obtained by applying the transformer to STC.
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匿名树网络的常空间自稳定中心查找
众所周知,对于每个进程占用小于0 (log diam)空间(其中diam是树的直径)的匿名树网络,没有自稳定的静默分布式算法来寻找中心(或多个中心)。本文针对这一问题,给出了一种自稳定但非静默的分布式算法STC,该算法在不公平守护进程下耗时O(diam)轮,每个进程占用O(1)空间。该方法是首先为在同步守护进程下工作的问题构造一个静默的O(1)空间算法,前提是它有一个干净的开始。在此基础上构造了一个变压器,将同步算法下的静默树算法转化为具有相同渐近空间复杂度的等效非静默自稳定算法。然后将变压器应用于中心查找算法,得到所需的中心查找算法CSTC。
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