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
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