• DocumentCode
    3033293
  • Title

    A Study of Data Management in Hybrid Cloud Configuration

  • Author

    Tanimoto, Shigeaki ; Sakurada, Yorihiro ; Seki, Yoshiaki ; Iwashita, Motoi ; Matsui, Soya ; Sato, Hikaru ; Kanai, Atsushi

  • Author_Institution
    Chiba Inst. of Technol., Chiba, Japan
  • fYear
    2013
  • fDate
    1-3 July 2013
  • Firstpage
    381
  • Lastpage
    386
  • Abstract
    Cloud computing is currently spreading with the further implementation of IT infrastructure. Clouds involve certain negative factors, however, which must be addressed to promote further cloud utilization. As a means of addressing some of these negative factors, a hybrid cloud configuration combining public and private clouds has attracted attention. This configuration stores personal and confidential information in a private cloud and other data in a public cloud. Unfortunately, no detailed classification of where various kinds of data should be stored has yet been fully established. Hence, this paper proposes an enterprise data management method for a hybrid cloud configuration. Specifically, enterprise data was subdivided into 28 categories through a work breakdown structure (WBS) method. Then, the subdivided data was classified in terms of whether it did or did not consist of personal or confidential information. The resulting data portfolio required storing only about 18% of data in a private cloud, with the remaining 82% in a public cloud. In accordance with this basic guideline, a fundamental data management proposal is developed for the hybrid cloud configuration.
  • Keywords
    business data processing; cloud computing; security of data; storage management; IT infrastructure; WBS method; cloud computing; cloud utilization; confidential information; data management; data portfolio; enterprise data management method; hybrid cloud configuration; personal information; private clouds; public clouds; work breakdown structure method; Cloud computing; Companies; Computational modeling; Guidelines; Portfolios; Security; Data Management; Data Portfolio; Hybrid Cloud Computing; Risk Factor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2013 14th ACIS International Conference on
  • Conference_Location
    Honolulu, HI
  • Type

    conf

  • DOI
    10.1109/SNPD.2013.22
  • Filename
    6598492