基于主从群的协调器选择模型,对霸凌算法的改进

Balmukund Mishra, Ninni Singh, Ravideep Singh
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引用次数: 12

摘要

在分布式系统中,为了协调各个进程之间的各种任务,需要一个Leader Node或Coordinating Node。分布式环境下协调器节点的选择对系统性能起着至关重要的作用。在现实世界中,协调器节点不可能总是可用,因为有时会发生一些故障,它会崩溃,停止服务。在文献中提出了各种方法,以便在协调节点崩溃时进行选举机制。虽然这些方法提供了不同的技术来进行选举,并尽量减少所需的信息数量。为了克服这些缺点,我们提出了一种用于集中式分布式系统的协调器选择算法。该算法在协调器选择方面的性能优于霸凌算法和其他已提出的算法。该算法在O(n)个时间内选择一个协调器,并处理节点在消息交换次数较少的情况下的故障,消息是O(n)条消息,但实际上它远远低于O(n)条消息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Master-slave group based model for co-ordinator selection, an improvement of bully algorithm
In a distributed system to coordinate various jobs among processes, there is a need of a Leader Node or Coordinating Node. Selection of coordinator node in distributed environment plays an important role in the system performance. In the real world, it is not possible that the coordinator node is always available because of some failure occur sometimes it get crashed, out of service. In literature various approaches have been proposed in order to conduct an election mechanism when coordinator node gets crashed. Although these approaches provide different techniques to conduct elections and also to minimize the number of messages required. But these approaches have some drawbacks such as wastage of network bandwidth In order to overpower these drawbacks we proposed an algorithm for Coordinator selection that is used in the centralized distributed system. This gives a better performance than bully algorithm and the other existing proposed algorithm for coordinator selection. Our algorithm selects a coordinator in O (n) time as well as it handles the failure of nodes in less number of message exchange the message is O (n) message but practically it is very lower than O(n).
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