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Tracking Immediate Predecessors in Distributed Computations

机译:跟踪分布式计算中的直接前辈

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摘要

A distributed computation is usually modeled as a partially ordered set of relevant events (the relevant events are a subset of the primitive events produced by the computation). An important causality-related distributed computing problem, that we call the Immediate Predecessors Tracking (IPT) problem, consists in associating with each relevant event, on the fly and without using additional control messages, the set of relevant events that are its immediate predecessors in the partial order. So, IPT is the on-the-fly computation of the transitive reduction (i.e., Hasse diagram) of the causality relation defined by a distributed computation. This-paper addresses the IPT problem: it presents a family of protocol-s that provides each relevant event with a timestamp that exactly identifies its immediate predecessors. The family is defined by a general condition that allows application messages to piggyback control information whose size can be smaller than n (the number of processes). In that sense, this family defines message size-efficient IPT protocols. According to the way the general condition is implemented, different IPT protocols can be obtained. Two of them are exhibited.
机译:通常将分布式计算建模为相关事件的部分排序集合(相关事件是由计算产生的原始事件的子集)。一个重要的因果相关的分布式计算问题,我们称为即时前辈跟踪(IPT)问题,包括与每个相关事件相关联,并且无需使用其他控制消息即可立即将其相关的前一组事件关联到事件中。偏序。因此,IPT是由分布式计算定义的因果关系的传递减少(即Hasse图)的动态计算。本文解决了IPT问题:它提出了一系列协议,为每个相关事件提供了一个时间戳,以准确地标识其前身。该系列由一般条件定义,该条件允许应用程序消息附带大小小于n(进程数)的控制信息。从这个意义上说,这个家族定义了消息大小高效的IPT协议。根据实现一般条件的方式,可以获得不同的IPT协议。其中两个被展出。

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