Making data structures confluently persistent

  • Authors:
  • Amos Fiat;Haim Kaplan

  • Affiliations:
  • School of computer science, Tel Aviv University, Tel Aviv 69978;School of computer science, Tel Aviv University, Tel Aviv 69978

  • Venue:
  • SODA '01 Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
  • Year:
  • 2001

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Abstract

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;(log2(¦V¦)).