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A middleware supporting query processing on distributed CUBRID

  • Hyeong Il Kim
  • , Min Yoon
  • , Youngsung Shin
  • , Jae Woo Chang*
  • *Corresponding author for this work
    • Jeonbuk National University

    Research output: Contribution to conferenceConference paperpeer-review

    Abstract

    Due to the shortages of NoSQL, studies on RDBMS based bigdata processing have been actively performed. Although they can store data in the distributed servers by dividing the database, they cannot process a query when data of a user is distributed on the multiple servers. Therefore, in this paper we propose a CUBRID based middleware supporting distributed parallel query processing. Through the performance evaluations, we show that our proposed scheme outperforms the existing work in terms of query processing time.

    Original languageEnglish
    Title of host publicationAdvanced Multimedia and Ubiquitous Engineering - Future Information Technology
    EditorsNeil Y. Yen, James J. Park, Han-Chieh Chao, Hamid Arabnia
    PublisherSpringer Verlag
    Pages31-37
    Number of pages7
    ISBN (Electronic)9783662474860
    DOIs
    StatePublished - 2015
    Event10th International Conference on Future Information Technology, FutureTech 2015 - Hanoi, Viet Nam
    Duration: 2015.05.182015.05.20

    Publication series

    NameLecture Notes in Electrical Engineering
    Volume352
    ISSN (Print)1876-1100
    ISSN (Electronic)1876-1119

    Conference

    Conference10th International Conference on Future Information Technology, FutureTech 2015
    Country/TerritoryViet Nam
    CityHanoi
    Period15.05.1815.05.20

    Keywords

    • CUBRID
    • Distributed parallel query processing
    • Middleware

    Quacquarelli Symonds(QS) Subject Topics

    • Engineering - Mechanical

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