Version Reconciliation for Collaborative Databases

Nalin Ranjan, Zechao Shang, Aaron J. Elmore, S. Krishnan
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Abstract

We propose MindPalace, a prototype of a versioned database for efficient collaborative data management. MindPalace supports offline collaboration, where users work independently without real-time correspondence. The core of MindPalace is a critical step of offline collaboration: reconciling divergent branches made by simultaneous data manipulation. We formalize the concept of auto-mergeability, a condition under which branches may be reconciled without human intervention, and propose an efficient framework for determining whether two branches are auto-mergeable and identifying particular records for manual reconciliation.
协作数据库的版本协调
我们提出MindPalace,一个用于高效协作数据管理的版本化数据库的原型。MindPalace支持离线协作,用户无需实时通信即可独立工作。MindPalace的核心是离线协作的关键一步:协调由同步数据操作产生的不同分支。我们形式化了自动合并的概念,在这种情况下分支可以在没有人为干预的情况下进行协调,并提出了一个有效的框架来确定两个分支是否可以自动合并,并识别用于手动协调的特定记录。
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