Developing metadata services for grid enabling scientific applications

Authors:
Choonhan Youn;Tim Kaiser;Cindy Santini;Dogan Seber
Affiliations:
San Diego Supercomputer Center, University of California at San Diego, La Jolla, CA;San Diego Supercomputer Center, University of California at San Diego, La Jolla, CA;San Diego Supercomputer Center, University of California at San Diego, La Jolla, CA;San Diego Supercomputer Center, University of California at San Diego, La Jolla, CA
Venue:
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I
Year:
2006

Citing 7
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Abstract

In a web-based scientific computing, the creation of parameter studies of scientific applications is required to conduct a large number of experiments through the dynamic graphic user interface, without paying the expense of great difficulty of use. The generated parameter spaces which include various problems are incorporated with the computation of the application in the computational environments on the grid. Simultaneously, for the grid-based computing, scientific applications are geographically distributed as the computing resources. In order to run a particular application on the certain site, we need a meaningful metadata model for applications as the adaptive application metadata service used by the job submission service. In this paper, we present how general XML approach and our design for the generation process of input parameters are deployed on the certain scientific application as the example and how application metadata is incorporated with the job submission service in SYNSEIS (SYNthetic SEISmogram generation) tool.