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Developing Metadata Services for Grid Enabling Scientific Applications

机译:为支持科学应用的网格开发元数据服务

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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.
机译:在基于网络的科学计算中,需要创建科学应用程序的参数研究,才能通过动态图形用户界面进行大量实验,而不必付出使用上的巨大困难。包含各种问题的生成的参数空间将与网格计算环境中的应用程序计算结合在一起。同时,对于基于网格的计算,科学应用程序作为计算资源在地理上分布。为了在某​​个站点上运行特定的应用程序,我们需要一个有意义的元数据模型,作为作业提交服务使用的自适应应用程序元数据服务。在本文中,我们以一般的XML方法和输入参数生成过程的设计为例,将其部署在特定的科学应用程序上,以及如何将应用程序元数据与SYNSEIS(综合SEISmogram生成)工具中的作业提交服务合并。

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