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  • 标题:Consistency in 3D (Invited Paper)
  • 本地全文:下载
  • 作者:Marc Shapiro ; Masoud Saeida Ardekani ; Gustavo Petri
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2016
  • 卷号:59
  • 页码:3:1-3:14
  • DOI:10.4230/LIPIcs.CONCUR.2016.3
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:Comparisons of different consistency models often try to place them in a linear strong-to-weak order. However this view is clearly inadequate, since it is well known, for instance, that Snapshot Isolation and Serialisability are incomparable. In the interest of a better understanding, we propose a new classification, along three dimensions, related to: a total order of writes, a causal order of reads, and transactional composition of multiple operations. A model may be stronger than another on one dimension and weaker on another. We believe that this new classification scheme is both scientifically sound and has good explicative value. The current paper presents the three-dimensional design space intuitively.
  • 关键词:Consistency models; replicated data; structural invariants; correctness of distributed systems
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