Synchronous Set Agreement: a Concise Guided Tour (including a new algorithm and a list of open problems)

M. Raynal, Corentin Travers
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引用次数: 16

Abstract

The k-set agreement problem is a paradigm of coordination problems encountered in distributed computing. The parameter k defines the coordination degree we are interested in. (The case k=1 corresponds to the well-known uniform consensus problem.) More precisely, the k-set agreement problem considers a system made up of n processes where each process proposes a value. It requires that each non-faulty process decides a value such that a decided value is a proposed value, and no more than k different values are decided. This paper visits the k-set agreement problem in synchronous systems where up to t processes can experience failures. Three failure models are explored: the crash failure model, the send omission failure model, and the general omission failure model. Lower bounds and protocols are presented for each model. Open problems for the general omission failure model are stated. This paper can be seen as a short tutorial whose aim is to make the reader familiar with the k-set agreement problem in synchrony models with increasing fault severity. An important concern of the paper is simplicity. In addition to its survey flavor, several results and protocols that are presented are new
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同步集协议:一个简明的导览(包括一个新算法和一个开放问题列表)
k集协议问题是分布式计算中遇到的协调问题的一个范例。参数k定义了我们感兴趣的协调度。(k=1的情况对应于众所周知的一致共识问题。)更准确地说,k集协议问题考虑一个由n个进程组成的系统,其中每个进程提出一个值。它要求每个无故障进程确定一个值,这样一个确定的值就是一个建议值,并且确定的不同值不超过k个。本文研究了同步系统中多达t个进程可能出现故障的k集协议问题。探讨了三种失效模型:崩溃失效模型、发送遗漏失效模型和一般遗漏失效模型。给出了每个模型的下界和协议。阐述了一般遗漏失效模型存在的若干问题。本文可以看作是一个简短的教程,其目的是使读者熟悉故障严重程度增加的同步模型中的k集协议问题。本文的一个重要关注点是简单性。除了它的调查风格,提出的一些结果和协议是新的
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