• DocumentCode
    3352779
  • Title

    A flexible abstract graphical grid workflow data structure for remote sensing quantitative retrieval

  • Author

    Ai, Jianwen ; Xue, Yong ; Guang, Jie ; Li, Yingjie ; Wang, Ying ; Mei, Linlu ; He, Xingwei

  • Author_Institution
    Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    2175
  • Lastpage
    2178
  • Abstract
    Abstract graphical Grid workflow can adapt the dynamic nature of Grid environment. It is more intuitive and convenient for user to apply Grid services solving the remote sensing distributable computing problems than concrete Grid workflows. This paper firstly introduces the feasibilities and advantages of abstract Grid workflow applying for remote sensing quantitative retrieval services. And then it gives the relative research status about science workflow applied to geosciences´ domain. In the design of Grid workflow data structure, the authors illustrate the abstract Grid workflow´s data structure for remote sensing quantitative retrieval. And then the authors give the key operation algorithms of the abstract Grid workflow data structure. In the implementation part, the authors have completed the abstract graphical Grid workflow composition system for remote sensing quantitative retrieval service. Using it, users can construct a workflow based on remote sensing application just by dragging and clicking the components of interest provided by the system.
  • Keywords
    geophysics computing; grid computing; remote sensing; spatial data structures; abstract graphical grid workflow; grid service; quantitative retrieval service; remote sensing distributable computing; Data models; Data structures; Grid computing; Heuristic algorithms; Remote sensing; Runtime environment; Web services; Data Structure; Grid Computing; Remote; Sensing; Workflow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5652628
  • Filename
    5652628