• DocumentCode
    1152678
  • Title

    Cooperating services for data-driven computational experimentation

  • Author

    Plale, Beth ; Gannon, Dennis ; Huang, Yi ; Kandaswamy, Gopi ; Pallickara, Sangmi Lee ; Slominski, Aleksander

  • Author_Institution
    Indiana Univ., IN, USA
  • Volume
    7
  • Issue
    5
  • fYear
    2005
  • Firstpage
    34
  • Lastpage
    43
  • Abstract
    The Linked Environments for Atmospheric Discovery (LEAD) project seeks to provide on-demand weather forecasting. A triad of cooperating services provides the core functionality needed to execute experiments and manage the data. In this article, we focus on three MyLEAD services - the metadata catalog service, notification service, and workflow service - that together form the core services for managing complex experimental meteorological investigations and managing the data products used in and generated during the computational experimentation. We show how the services work together on the user´s behalf, easing the technological burden on the scientists and freeing them to focus on more of the science that compels them.
  • Keywords
    atmospheric techniques; cataloguing; geophysics computing; grid computing; groupware; meta data; weather forecasting; Linked Environments for Atmospheric Discovery; MyLEAD services; data product management; data-driven computational experimentation; experimental meteorological investigations; metadata catalog service; notification service; service cooperation; weather forecasting; workflow service; Atmospheric modeling; Concurrent computing; Demand forecasting; Distributed computing; Humans; Meteorology; Portals; Predictive models; Technology management; Weather forecasting; Web services; data mining; grid computing; metadata;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2005.91
  • Filename
    1501738