Making data structures confluently persistent

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We address a longstanding open problem of [8, 7], and present a general transformation that takes any data structure and transforms it to a confluently persistent data structure. We model this general problem using the concepts of a version DAG (Directed Acyclic Graph) and an instantiation of a version DAG. We introduce the concept of the effective depth of a vertex in the version DAG and use it to derive information theoretic lower bounds on the space expansion of any such transformation for this DAG. We then give a confluently persistent data structure, such that for any version DAG, the time slowdown and space expansion match the information theoretic lower bounds to within a factor of &Ogr;(log 2(|V|)).

Original languageEnglish
Title of host publicationProceedings of the 12th Annual ACM-SIAM Symposium on Discrete Algorithms
Number of pages10
StatePublished - 2001
Event2001 Operating Section Proceedings, American Gas Association - Dallas, TX, United States
Duration: 30 Apr 20011 May 2001

Publication series

NameProceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms


Conference2001 Operating Section Proceedings, American Gas Association
Country/TerritoryUnited States
CityDallas, TX


  • Algorithms
  • Design
  • Theory


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