IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-27912-9_24.html
   My bibliography  Save this book chapter

Study of Manufacturing Resource Interface Based on OGSA

In: Current Trends in High Performance Computing and Its Applications

Author

Listed:
  • Dekun Chen

    (Shanghai University, Shanghai University and CIMS Center)

  • Ting Su

    (Shanghai University, Shanghai University and CIMS Center)

  • Qian Luo

    (Shanghai University, Shanghai University and CIMS Center)

  • Zhiyun Xu

    (Shanghai University, Shanghai University and CIMS Center)

Abstract

Traditional models of manufacturing resource can’t cover all the manufacturing information, including resource information, process information and product information, which cannot make enterprise function in a whole. From the experience of the Grid Computing and the summary of manufacturing feature, the paper introduces a model named GPPR, integrating three information parts of the manufacturing resources based on OGSA (Grid-based Product Process Resource). An example is presented to prove the feasibility and the possibility of wide spread of GPPR model by using globus 3.0 is to create the prototype system of GPPR. Make an interface model including all the manufacturing information.

Suggested Citation

  • Dekun Chen & Ting Su & Qian Luo & Zhiyun Xu, 2005. "Study of Manufacturing Resource Interface Based on OGSA," Springer Books, in: Wu Zhang & Weiqin Tong & Zhangxin Chen & Roland Glowinski (ed.), Current Trends in High Performance Computing and Its Applications, pages 233-238, Springer.
  • Handle: RePEc:spr:sprchp:978-3-540-27912-9_24
    DOI: 10.1007/3-540-27912-1_24
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-540-27912-9_24. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.