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Minimizing the maximum delay for reaching consensus in quorum-based mutual exclusion schemes

机译:在基于仲裁的互斥方案中最小化达成共识的最大延迟

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摘要

The use of quorums is a well-known approach to achieving mutual exclusion in distributed computing systems. This approach works based on a coterie, a special set of node groups where any pair of the node groups shares at least one common node. Each node group in a coterie is called a quorum. Mutual exclusion is ensured by imposing that a node gets consensus from all nodes in at least one of the quorums before it enters a critical section. In a quorum-based mutual exclusion scheme, the delay for reaching consensus depends critically on the coterie adopted and, thus, it is important to find a coterie with small delay. Fu (1997) introduced two related measures called max-delay and mean-delay. The former measure represents the largest delay among all nodes, while the latter is the arithmetic mean of the delays. She proposed polynomial-time algorithms for finding max-delay and mean-delay optimal coteries when the network topology is a tree or a ring. In this paper, we first propose a polynomial-time algorithm for finding max-delay optimal coteries and, then, modify the algorithm so as to reduce the mean-delay of generated coteries. Unlike the previous algorithms, the proposed algorithms can be applied to systems with arbitrary topology.
机译:仲裁的使用是一种在分布式计算系统中实现互斥的众所周知的方法。这种方法基于小团体,即一组特殊的节点组,其中任意一对节点组共享至少一个公共节点。 coterie中的每个节点组称为仲裁。通过强加一个节点在进入关键部分之前从至少一个仲裁中的所有节点获得共识来确保互斥。在基于仲裁的互斥方案中,达成共识的延迟严重取决于所采用的网状组织,因此,找到延迟较小的网状组织很重要。 Fu(1997)引入了两个相关的度量,称为最大延迟和均值延迟。前者表示所有节点中最大的延迟,而后者是延迟的算术平均值。她提出了多项式时间算法,用于在网络拓扑为树或环时查找最大延迟和均值延迟最优载波。在本文中,我们首先提出了一种多项式时间算法来寻找最大时延最优最优指标,然后对其进行了修改,以减少生成时效指标的均值延时。与以前的算法不同,所提出的算法可以应用于具有任意拓扑的系统。

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