• DocumentCode
    3134607
  • Title

    Grid-based metadata services

  • Author

    Deelman, Ewa ; Singh, Gurmeet ; Atkinson, Malcolm P. ; Chervenak, Ann ; Hong, Neil P Chue ; Kesselman, Carl ; Patil, Sonal ; Pearlman, Laura ; Su, Mei-Hui

  • Author_Institution
    Inst. of Inf. Sci., Southern California Univ., Los Angeles, CA, USA
  • fYear
    2004
  • fDate
    21-23 June 2004
  • Firstpage
    393
  • Lastpage
    402
  • Abstract
    Data sets being managed in grid environments today are growing at a rapid rate, expected to reach 100s of petabytes in the near future. Managing such large data sets poses challenges for efficient data access, data publication and data discovery. In this paper we focus on the data publication and discovery process through the use of descriptive metadata. This metadata describe the properties of individual data items and collections. We discuss issues of metadata services in service rich environments, such as the grid. We describe the requirements and the architecture for such services in the context of grid and the available grid services. We present a data model that can capture the complexity of the data publication and discovery process. Based on that model we identify a set of interfaces and operations that need to be provided to support metadata management. We present a particular implementation of a grid metadata service, basing it on existing grid services technologies. Finally we examine alternative implementations of that service.
  • Keywords
    data acquisition; data mining; data models; grid computing; meta data; data access; data collections; data discovery; data item properties; data model; data publication; descriptive metadata; grid environments; grid-based metadata services; large data set management; metadata management; service architecture; Astronomy; Collaboration; Context-aware services; Data analysis; Data models; Environmental management; Image databases; Instruments; Physics; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Scientific and Statistical Database Management, 2004. Proceedings. 16th International Conference on
  • ISSN
    1099-3371
  • Print_ISBN
    0-7695-2146-0
  • Type

    conf

  • DOI
    10.1109/SSDM.2004.1311235
  • Filename
    1311235