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
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;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2005.91