An Asynchronous Computability Theorem for Fair Adversaries

P. Kuznetsov, Thibault Rieutord, Yuan He
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引用次数: 16

Abstract

This paper proposes a simple topological characterization of a large class of fair adversarial models via affine tasks: sub-complexes of the second iteration of the standard chromatic subdivision. We show that the task computability of a model in the class is precisely captured by iterations of the corresponding affine task. Fair adversaries include, but are not restricted to, the models of wait-freedom, t-resilience, and k-concurrency. Our results generalize and improve all previously derived topological characterizations of the ability of a model to solve distributed tasks.
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公平对手的异步可计算性定理
本文通过仿射任务提出了一类公平对抗模型的简单拓扑表征:标准色细分的第二次迭代的子复合体。我们证明了类中模型的任务可计算性是通过相应仿射任务的迭代精确捕获的。公平的对手包括(但不限于)等待自由模型、t-弹性模型和k-并发模型。我们的结果概括和改进了所有先前导出的模型解决分布式任务能力的拓扑特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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