网络划分及其在分布式选择问题中的应用

J. Hu, Shin-Nine Yang, Maw-Sheng Chern
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引用次数: 3

摘要

讨论了一般树状网络的网络划分和分布式选择问题。分布式选择问题是在点对点异步通信网络中,从分布在节点上的N个元素中选择第k个最小的元素。所考虑的分布式算法主要是消息驱动的。所有的消息都有固定的长度,并且可能只携带有限数量的信息。作者假设网络足够可靠,因此在链路中发送的消息被接收节点以先进先出(FIFO)的顺序接收,具有有限但完全不可预测的延迟。提出了一种改进的树状网络选择算法。在传统约简策略的基础上,引入了树划分技术来定位消息传递,从而降低了消息的总复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network partition and its application to distributed selection problem
The authors discuss the network partition and the distributed selection problems for a general tree network. The distributed selection problem is to select the k-th smallest element of a set N of elements distributed among nodes of a point-to-point asynchronous communication network. The distributed algorithms considered are primarily message driven. All the messages have a fixed length, and may carry only a limited amount of information. The authors assume the network is sufficiently reliable so that the messages sent in a link are received error free by the receiver node in first-in-first-out (FIFO) order with finite but totally unpredictable delays. The authors present an improved selection algorithm for general tree networks. Based on the conventional reduction strategy, they introduce a tree partition technique to localize the message passing and therefore to reduce the total message complexity.<>
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