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arXiv 2406.04497cs.DC
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异步动态网络中通过结发现达成共识

Consensus Through Knot Discovery in Asynchronous Dynamic Networks

Rachel Bricker, Mikhail Nesterenko, Gokarna Sharma

AI总结:

本文提出结识别问题,用于在异步非遗忘且可能断开的动态网络中达成共识,给出可解性的充要条件,并设计KIA算法及进行性能评估。

摘要:

我们将结识别问题表述为在动态网络中达成共识的一种方法。网络对手是异步的且非遗忘型的。网络在整个计算过程中可能处于断开状态。我们确定了结识别问题存在解的必要充分条件:所有进程必须能够观察到结,并且所有进程首次观察到的结必须相同。我们提出了一个名为KIA的算法来解决该问题。我们对KIA进行了性能评估。

英文摘要:

We state the Problem of Knot Identification as a way to achieve consensus in dynamic networks. The network adversary is asynchronous and not oblivious. The network may be disconnected throughout the computation. We determine the necessary and sufficient conditions for the existence of a solution to the Knot Identification Problem: the knots must be observable by all processes and the first observed knot must be the same for all processes. We present an algorithm KIA that solves it. We conduct KIA performance evaluation.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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