Nalin Ranjan, Zechao Shang, Aaron J. Elmore, S. Krishnan
{"title":"Version Reconciliation for Collaborative Databases","authors":"Nalin Ranjan, Zechao Shang, Aaron J. Elmore, S. Krishnan","doi":"10.1145/3472883.3486980","DOIUrl":null,"url":null,"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.","PeriodicalId":91949,"journal":{"name":"Proceedings of the ... ACM Symposium on Cloud Computing [electronic resource] : SOCC ... ... SoCC (Conference)","volume":"15 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ... ACM Symposium on Cloud Computing [electronic resource] : SOCC ... ... SoCC (Conference)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3472883.3486980","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.