Title
Managing Large-Scale Scientific Computing In Ensemble Prediction Using Bpel
Abstract
The development of large-scale parallel scientific computing applications has put forward more urgent demands for powerful computing capacities and complex process managing technologies. Meanwhile, the scientific experiment processes become more and more complicated which makes it becomes a hard work for e-scientists to control the experiment analysis processes by hand. In this paper, we provide a scientific workflow system called EPSWFlow for the e-scientists in climate domain for services composition and workflow orchestration. In order to integrate the large number of the existing legacy applications into the system, we provide a service wrapping method and a unified interface for the workflow users to access to the services. The workflow system can process the experiment process dynamically and manage the heterogeneous grid resources transparently.
Year
DOI
Venue
2009
10.1109/ISPA.2009.105
2009 IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING WITH APPLICATIONS, PROCEEDINGS
Keywords
Field
DocType
ensemble prediction, scientific workflow, BPEL, legacy codes
Scientific workflow system,Workflow technology,Grid computing,Computer science,Computational science,Business Process Execution Language,Workflow engine,Workflow management system,Workflow,Legacy system,Distributed computing
Conference
Volume
Issue
Citations 
null
null
0
PageRank 
References 
Authors
0.34
8
5
Name
Order
Citations
PageRank
Cancan Liu1101.93
Weimin Zhang27221.91
Zhigang Luo382847.92
Xiaoqun Cao4163.25
Hai Liu5183.19