A web service-enabled distributed workflow system for scientific data processing

被引：2

作者：

Kalyanam, Rajesh ^{[1
]}

Zhao, Lan ^{[1
]}

Park, Taezoon ^{[1
]}

Goasguen, Sebastien ^{[2
]}

机构：

[1] Purdue Univ, Rosen Ctr Adv Comp, W Lafayette, IN 47907 USA

[2] Clemson Univ, Dept Comp Sci, Clemson, SC 29643 USA

来源：

11TH IEEE INTERNATIONAL WORKSHOP ON FUTURE TRENDS OF DISTRIBUTED COMPUTING SYSTEMS, PROCEEDINGS | 2007年

关键词：

D O I：

10.1109/FTDCS.2007.9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents the design and implementation of a distributed data-driven workflow system on top of the TeraGrid infrastructure. The workflow system is based on a data management architecture that provides easy access to scientific data collections via the TeraGrid network. The workflow system allows researchers to construct scientific workflows for data discovery, access, transformation, and analysis. The system leverages JOpera, an open-source workflow engine and visual composer as well as a set of web service-based data and computation modules. To demonstrate its effectiveness, we create an end-to-end climate simulation data analysis workflow that connects the data management architecture to YeraGrid computation resources. We also develop a workflow monitoring service to keep track of distributed workflow execution..

引用

页码：7 / +

页数：2

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