Scalable time-versioning support for property graph databases

Warut D. Vijitbenjaronk, Jinho Lee, Toyotaro Suzumura, Gabriel Tanase

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Citations (Scopus)


    When graphs change over time, it is important to make the changes trackable for many graph-based applications. We propose an implementation of OLTP-oriented graph database that supports time-versioning. There has been a few snapshot-based approaches for supporting time-versions, but they usually require the full-restoration of the graph, and lack the resolution of the time space. Using a B-tree as the datastructure for the backend storage, our database allow fast and scalable support for restoring the arbitrary part of the graph, without slowing down the normal accesses to the current graph. Experimental results show that our scheme is much efficient than the straightforward solutions, in terms of space and performance.

    Original languageEnglish
    Title of host publicationProceedings - 2017 IEEE International Conference on Big Data, Big Data 2017
    EditorsJian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo Baeza-Yates, Ricardo Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Number of pages10
    ISBN (Electronic)9781538627143
    Publication statusPublished - 2017 Jul 1
    Event5th IEEE International Conference on Big Data, Big Data 2017 - Boston, United States
    Duration: 2017 Dec 112017 Dec 14

    Publication series

    NameProceedings - 2017 IEEE International Conference on Big Data, Big Data 2017


    Conference5th IEEE International Conference on Big Data, Big Data 2017
    Country/TerritoryUnited States

    All Science Journal Classification (ASJC) codes

    • Computer Networks and Communications
    • Hardware and Architecture
    • Information Systems
    • Information Systems and Management
    • Control and Optimization


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