一种用于P2P网络协同编辑的可伸缩乐观复制算法

Stéphane Weiss, Pascal Urso, P. Molli
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引用次数: 149

摘要

通过维基百科等领先项目,大规模协同编辑成为现实。这种大规模的协作目前由一个昂贵的中央服务来支持。为了避免这样的成本,我们的目标是提供一个点对点的协作编辑系统。现有的构建分布式协同编辑系统的方法要么在用户数量上无法扩展,要么在编辑数量上无法扩展。我们提出了Logoot方法,在这两个维度上进行扩展,同时确保因果关系、一致性和意图保留标准。我们对Logoot方法进行了评估,并将其与其他方法进行了比较,使用的是对维基百科中编辑次数最多、最大的页面进行的所有编辑的语料库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Logoot: A Scalable Optimistic Replication Algorithm for Collaborative Editing on P2P Networks
Massive collaborative editing becomes a reality through leading projects such as Wikipedia. This massive collaboration is currently supported with a costly central service. In order to avoid such costs, we aim to provide a peer-to-peer collaborative editing system. Existing approaches to build distributed collaborative editing systems either do not scale in terms of number of users or in terms of number of edits. We present the Logoot approach that scales in these both dimensions while ensuring causality, consistency and intention preservation criteria. We evaluate the Logoot approach and compare it to others using a corpus of all the edits applied on a set of the most edited and the biggest pages of Wikipedia.
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